Smith delay compensator for multivariable non-square systems with multiple time delays

Abstract The classical multivariable Smith delay compensator is extended to multivariable non-square systems with multiple time delays where there is more number of inputs than the outputs. For the delay compensated system, centralized multivariable PI controllers are designed by an extended version of Davison method with a pseudo inverse for the steady-state gain matrix. A method is proposed to select the two tuning parameters in Davison method. To show the improvement, PI controllers for the uncompensated system are also designed by the Davison method. The proposed method is applied to shell standard control problem (3 input and 2 output) and hot oil fractionator (4 input and 2 output). Simulation studies are carried out for both servo and regulatory problems. Robustness studies are carried out for uncertainty in all the process model parameters. The performance of the multivariable delay compensated system with the centralized PI controllers is improved by 25–35% when compared to that of the multivariable control system without any delay compensator. It is also shown that the performance and robustness of the delay compensator are significantly better for the non-square systems than that of the squared down systems.

[1]  Min-Sen Chiu,et al.  Decoupling internal model control for multivariable systems with multiple time delays , 2002 .

[2]  Shi-Shang Jang,et al.  Generalized multivariable dynamic artificial neural network modeling for chemical processes , 1999 .

[3]  M. Chidambaram,et al.  Comparision of Multivariable Controllers for Non-Minimum Phase Systems , 2006 .

[4]  Min-Sen Chiu,et al.  ROBUST DECENTRALIZED CONTROL OF NON-SQUARE SYSTEMS , 1997 .

[5]  Manfred Morari,et al.  Design of resilient processing plants—VII. Design of energy management system for unstable reactors—new insights , 1985 .

[6]  Edward J. Davison Multivariable tuning regulators: The feedforward and robust control of a general servomechanism problem , 1975 .

[7]  O Smith,et al.  CLOSER CONTROL OF LOOPS WITH DEAD TIME , 1957 .

[8]  Steven Treiber,et al.  Multivariable control of non-square systems , 1984 .

[9]  Yu Zhang,et al.  Decoupling Smith Predictor Design for Multivariable Systems with Multiple Time Delays , 2000 .

[10]  Julio E. Normey-Rico,et al.  Improving the robustness of dead-time compensating PI controllers , 1997 .

[11]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[12]  W. H. Ray,et al.  High‐Performance multivariable control strategies for systems having time delays , 1986 .

[13]  Edward J. Davison,et al.  Some properties of minimum phase systems and "Squared-down" systems , 1983 .

[14]  G. Stein,et al.  Multivariable feedback design: Concepts for a classical/modern synthesis , 1981 .

[15]  G. Krishna,et al.  On Some Aspects of Statistical Linearization of Non-linear Elements† , 1966 .

[16]  Cheng-Ching Yu,et al.  The relative gain for non-square multivariable systems , 1990 .

[17]  J. B. Gomm,et al.  Solution to the Shell standard control problem using genetically tuned PID controllers , 2002 .

[18]  Babatunde A. Ogunnaike,et al.  Multivariable controller design for linear systems having multiple time delays , 1979 .

[19]  Yaman Arkun,et al.  Interaction measures for nonsquare decentralized control structures , 1989 .

[20]  D. Seborg,et al.  An extension of the Smith Predictor method to multivariable linear systems containing time delays , 1973 .