PRÁTICA LABORATORIAL DE PROJETOS DE AUTOMAÇÃO INDUSTRIAL
Os amplificadores operacionais foram utilizados na confecção dos controladores industriais analógicos, que apresentavam o ganho proporcional, integra e derivativo. Durante o projeto do controlador foi dito que você tomaria frente ganho integral, e que o ganho desejado era igual a 0,5. Dado o bloco a seguir, qual será o valor do resistor R1, para que o mesmo atenda a condição de projeto?
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Kf5emIPgP29CL7DPT/Qddi/8Btu/wDhy0H/AFrn9iflj+13P/nkf/COmJuCf6boRfYY6f697917oOtq/wDH3b7/AOorG/8AQlZ7E28f8kXl7/SP/hXpiP8AtJfy6EX2Gen+khv3/j0c1/yxg/8Acym9nXLv/Jasf9Mf+Ot01N/Zt084D/ixYX/tU47/ANw4faHcf+Shf/8ANZ/+PHq6fAv2Dp29o+rdB1U/8zOx/wD4bL/+5Nd7E0X/ACqdz/z1j/jqdMH+3H+l6EX2Gen+otd/wCq/+oWo/wCtT+3bf+3h/wBOP8I60eB6R3W//Ho47/lrX/8AubP7POaf+S1c/wClT/jg6ag/s16XfsPdPdB1vb/i9bF/8OCP/rfRexPsH+4HMP8AzzH/AAP0xL8UX29CL7DHT/Xvfuvdf//Z)
20 Kohm
30 Kohm
40 Kohm
50 Kohm
10 Kohm
Durante o processo de sintonia dos controladores (PID) e primordial conhecer as técnicas de simulações que demonstram o comportamento dos polos e zeros de um sistema industrial, conhecer esses comportamentos nos possibilita calcular os limites estabelecidos pelo processo dando a possibilidade de determinar a melhor estratégia para contornar as possíveis instabilidades. Sabendo disso você foi contratado para determinar o ponto crítico de um dado sistema que posteriormente foi modelado usando o método de Smith que aproxima o modelo real da planta para um modelo de primeira ordem com atraso (equação 1). Com o modelo em mãos, calcule o valor de Kp para o sistema esteja em no ponto crítico? (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-2*s) (1)
50
10
30
20
40
Durante o processo de sintonia dos controladores (PID) e primordial conhecer as técnicas de simulações que demonstram o comportamento dos polos e zeros de um sistema industrial, conhecer esses comportamentos nos possibilita calcular os limites estabelecidos pelo processo dando a possibilidade de determinar a melhor estratégia para contornar as possíveis instabilidades. Sabendo disso você foi contratado para determinar o ponto crítico de um dado sistema que posteriormente foi modelado usando o método de Smith que aproxima o modelo real da planta para um modelo de primeira ordem com atraso (equação 1). Com o modelo em mãos, calcule o valor de Kp para o sistema esteja em no ponto crítico? (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
30
20
50
10
40
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
4,92
2,71
2.52
3,43
3,02
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=2/(10*s+1)*exp(-2*s) (1)
0,324
2,876
2,543
0,858
1,234
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.05)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(20*s+1)*exp(-2*s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
20 Kohm
30 Kohm
40 Kohm
50 Kohm
10 Kohm
Durante o processo de sintonia dos controladores (PID) e primordial conhecer as técnicas de simulações que demonstram o comportamento dos polos e zeros de um sistema industrial, conhecer esses comportamentos nos possibilita calcular os limites estabelecidos pelo processo dando a possibilidade de determinar a melhor estratégia para contornar as possíveis instabilidades. Sabendo disso você foi contratado para determinar o ponto crítico de um dado sistema que posteriormente foi modelado usando o método de Smith que aproxima o modelo real da planta para um modelo de primeira ordem com atraso (equação 1). Com o modelo em mãos, calcule o valor de Kp para o sistema esteja em no ponto crítico? (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-2*s) (1)
50
10
30
20
40
Durante o processo de sintonia dos controladores (PID) e primordial conhecer as técnicas de simulações que demonstram o comportamento dos polos e zeros de um sistema industrial, conhecer esses comportamentos nos possibilita calcular os limites estabelecidos pelo processo dando a possibilidade de determinar a melhor estratégia para contornar as possíveis instabilidades. Sabendo disso você foi contratado para determinar o ponto crítico de um dado sistema que posteriormente foi modelado usando o método de Smith que aproxima o modelo real da planta para um modelo de primeira ordem com atraso (equação 1). Com o modelo em mãos, calcule o valor de Kp para o sistema esteja em no ponto crítico? (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
30
20
50
10
40
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
4,92
2,71
2.52
3,43
3,02
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=2/(10*s+1)*exp(-2*s) (1)
0,324
2,876
2,543
0,858
1,234
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.05)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(20*s+1)*exp(-2*s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
50
10
30
20
40
Durante o processo de sintonia dos controladores (PID) e primordial conhecer as técnicas de simulações que demonstram o comportamento dos polos e zeros de um sistema industrial, conhecer esses comportamentos nos possibilita calcular os limites estabelecidos pelo processo dando a possibilidade de determinar a melhor estratégia para contornar as possíveis instabilidades. Sabendo disso você foi contratado para determinar o ponto crítico de um dado sistema que posteriormente foi modelado usando o método de Smith que aproxima o modelo real da planta para um modelo de primeira ordem com atraso (equação 1). Com o modelo em mãos, calcule o valor de Kp para o sistema esteja em no ponto crítico? (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
30
20
50
10
40
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
4,92
2,71
2.52
3,43
3,02
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=2/(10*s+1)*exp(-2*s) (1)
0,324
2,876
2,543
0,858
1,234
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.05)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(20*s+1)*exp(-2*s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
30
20
50
10
40
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(10*s+1)*exp(-s) (1)
4,92
2,71
2.52
3,43
3,02
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=2/(10*s+1)*exp(-2*s) (1)
0,324
2,876
2,543
0,858
1,234
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.05)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(20*s+1)*exp(-2*s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
4,92
2,71
2.52
3,43
3,02
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.1)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=2/(10*s+1)*exp(-2*s) (1)
0,324
2,876
2,543
0,858
1,234
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.05)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(20*s+1)*exp(-2*s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
0,324
2,876
2,543
0,858
1,234
Em sistemas de controle podemos aplicar vários métodos para determinar os valores dos parâmetros do compensador industrial, sendo que alguns métodos utilizam cálculos mais simplificados e outros mais avançados. Um dado sistemas de primeira ordem com atraso (equação 1), foi constatado que um controlador PI, por meio do teorema do valor final, atende o requisito de anular o erro de offset. Usando o método do lugar das raízes, determine qual o valor do Kp (ganho proporcional) para que o sistema seja criticamente amortecido. (Adote o Controlador C(s) = Kp*(s+0.05)/s e use o método de Padé para a aproximação do tempo morto.)
H(s)=1/(20*s+1)*exp(-2*s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
3,43
0,67
2,56
4,52
1,23
Deseja-se realizar a sintonia de um controlador PID, por meio da sintese direta, adotando o tau desejado igual a 1, para a equação a seguir:
H(s)=1/(s+1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
Kp=0.8 e Ki=0.5
Kp=0.25 e Ki=0.7
Kp=0.7 e Ki=0.7
Kp=1e Ki=1
Kp=0.25 e Ki=0.25
Tipo de controle que é aplicado em processos que permitem uma faixa de valores para a sua variável controlada que oscila em tono do valor desejado, sendo bastante aplicado em sistemas de controle que utilizam termostatos, chaves de nível e outros. Outra característica e que o mesmo pode ser usado em sistemas com tempo morto elevado.
De acordo com o texto acima, estamos discorrendo sobre qual tipo de controlador?
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
Controlador Proporcional mais integra
Controlador on-off
Controlador Adaptativo
Controlador Proporcional
Controlador Fuzzy
A correta sintonização dos controladores industriais (exemplo PID) resulta em uma maior qualidade dos produtos confeccionados, pois esses apresentam pouca variação ao valor especificado, e um menor desgaste para os elementos finais de controle que não sofrem fortes alterações em seu ponto de operação. Uma industrial do ramo de álcool e açúcar o contratou para realizar a sintonia do controlador de nível (LIC) de um tanque de gravidade de H20, o qual teve seu modelo calculado usando o método de Smith para primeira ordem com atraso de transporte apresentado na equação 1 a seguir. Determine os valores dos parâmetros para um controlador PI usando o método da síntese direta, sabendo que a constante de tempo desejada em malha fechada é igual a da planta em malha aberta.
H(s)/Qi(s) = 0.5/(10*s+1)*exp(-2*s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)
Os controladores industriais apresentam várias configurações, como proporcional, proporcional mais integral e outras. Essas configurações foram elaboradas para atender tipos de plantas distintas as quais apresentam estrutura diferente dos padrões estabelecidos. O sistema apresentado pela equação 1 é um desses modelos, quais seriam os blocos dos controlador PID (paralelo) que estariam ativados ( Parâmetro diferente de zero) para realizar o controle dessa planta? (Use o método da síntese direta.)
H(s)/Qi(s) = 1/(s^2+s) (1)
Kp=10/2 e Ki=1/(2*s)
Kp=10/6 e Ki=1/(3*s)
Kp=10/6 e Ki=1/(6*s)
Kp=10/3e Ki=1/(6*s)
Kp=10/3 e Ki=1/(3*s)