Multivariable PID controllers for dynamic process

This paper is concerned with the design of a dynamic multivariable PID control for multi input multi output (MIMO) process. Four multivariable PID control schemes using Davison, Penttinen-Koivo, Maciejowski and a combined method were applied. The controller parameters for all control strategies were designed based on dynamic condition using singularly perturbed system. The purpose of the study is to investigate the effectiveness in the performance of dynamic control based on different multivariable PID control strategies. To attain the best result, numerous tuning parameters were tested. The simulation results show the significance of the study whereby the proposed dynamic MPID control scheme shows better improvement in control tuning of nonlinear system.

[1]  W. Marsden.  I and J , 2012 .

[2]  Moonyong Lee,et al.  Independent design of multi-loop PI/PID controllers for interacting multivariable processes , 2010 .

[3]  Zuhua Xu,et al.  A Two-Time Scale Decentralized Model Predictive Controller Based on Input and Output Model , 2009, Journal of automated methods & management in chemistry.

[4]  Laxman M. Waghmare,et al.  Design of decentralized controllers for MIMO processes , 2012, Comput. Electr. Eng..

[5]  T. Thyagarajan,et al.  A decentralized PID controller for interacting non linear systems , 2011, 2011 International Conference on Emerging Trends in Electrical and Computer Technology.

[6]  Neil Genzlinger.  A. and Q , 2006 .

[7]  Thomas F. Edgar,et al.  Dynamic interaction measures for decentralized control of multivariable processes , 2004 .

[8]  Kai-chao Yao.  An Iteration Method to Sub-optimal Output Feedback Computer Control of Decentralized Singularly-perturbed Systems , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

[9]  George K. I. Mann,et al.  Design and Tuning of Standard Additive Model Based Fuzzy PID Controllers for Multivariable Process Systems , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[10]  Qing-Guo Wang,et al.  Auto-tuning of multivariable PID controllers from decentralized relay feedback , 1997, Autom..

[11]  Thomas F. Edgar,et al.  Interaction measure for decentralized control of multivariable processes , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[12]  Norhaliza Abdul Wahab,et al.  Multivariable PID control tuning: A controller validation approach , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

[13]  V. Vijay Kumar,et al.  Centralized PI controllers for interacting multivariable processes by synthesis method. , 2012, ISA transactions.

[14]  Alexandre S. Bazanella,et al.  Tuning of Multivariable Decentralized Controllers Through the Ultimate-Point Method , 2009, IEEE Transactions on Control Systems Technology.

[15]  N.A. Wahab,et al.  Multivariable PID control design for wastewater systems , 2007, 2007 Mediterranean Conference on Control & Automation.