Controller Design for Second Order Systems with Dead Time: Design and Tuning of PID Controller - Couverture souple

Nageswara Rao, C.V.; Prasad, Surendra

 
9783659831317: Controller Design for Second Order Systems with Dead Time: Design and Tuning of PID Controller

Synopsis

The present work focuses on the design of PID controller for stable/unstable Second Order Systems Plus Dead Time (SOPDT) systems with/without zero. The methods proposed based on Internal Model Control (IMC) are IMC-MAC PID and IMC-PIDC. The PID controller settings namely controller gain, integral time and derivative time are tuned by employing the guidelines for the tuning parameter instead of random value. Simulink module of MATLAB is utilized to obtain the closed loop behavior. The proposed controller is validated for non linear systems. Performance of the controllers designed by proposed methods is evaluated based on IAE, ISE & ITAE and compared with literature reported methods. Maximum sensitivity (Ms) is evaluated as a measure of robustness. Again the stability region for all the model parameters is evaluated considering uncertainties in model parameters using Kharitonov's Theorem and compared with literature.

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Présentation de l'éditeur

The present work focuses on the design of PID controller for stable/unstable Second Order Systems Plus Dead Time (SOPDT) systems with/without zero. The methods proposed based on Internal Model Control (IMC) are IMC-MAC PID and IMC-PIDC. The PID controller settings namely controller gain, integral time and derivative time are tuned by employing the guidelines for the tuning parameter instead of random value. Simulink module of MATLAB is utilized to obtain the closed loop behavior. The proposed controller is validated for non linear systems. Performance of the controllers designed by proposed methods is evaluated based on IAE, ISE & ITAE and compared with literature reported methods. Maximum sensitivity (Ms) is evaluated as a measure of robustness. Again the stability region for all the model parameters is evaluated considering uncertainties in model parameters using Kharitonov's Theorem and compared with literature.

Biographie de l'auteur

Dr. C V Nageswara Rao obtained his PhD in Chemical Engineering in 2013. He worked in industry before starting his career in academics. His research interests are process control, extraction of essential oils and Modeling & Simulation. He authored several articles published in reputed journals and is member of Indian Chemical Engineering Societies.

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