PID Control for MIMO Processes

Real industrial processes are almost all of multi-input and multi-output (MIMO) nature, and any change or disturbance occurring in one loop will affect the other loops through the cross-couplings between loops, which is the most important features of a MIMO system, and which implies that the control engineer cannot design each loop independently as they do for SISO systems. Therefore, the requirements for high performance in MIMO control are known to be much more difficult than in the SISO control. Despite great advances in modern control theory, the PID controller is still the most popular controller type used in process industries due to its simplicity and reliability. There are rich theories and designs for the SISO PID control, but little has been done for MIMO PID control while much is demanded for the latter to reach the same maturity and popularity as the single-loop PID case. In this chapter, we first introduce some fundamentals for MIMO systems such as transfer function matrices, poles, zeros, and feedback system stability. Then, we present a graphical method for the design of a multiloop PI controller to achieve the desired gain and phase margins for each loop. Finally, we define the loop gain margins and compute them for multivariable feedback systems. In this way, the stability and robustness of an multivariable feedback system can be really achieved and guaranteed.

[1]  Yu Zhang,et al.  PID tuning with exact gain and phase margins , 1999 .

[2]  Min Wu,et al.  Tuning of multi-loop PI controllers based on gain and phase margin specifications , 2011 .

[3]  Saeed Tavakoli,et al.  Tuning of decentralised PI (PID) controllers for TITO processes , 2006 .

[4]  Wenjian Cai,et al.  Simple Decentralized PID Controller Design Method Based on Dynamic Relative Interaction Analysis , 2005 .

[5]  John C. Doyle Analysis of Feedback Systems with Structured Uncertainty , 1982 .

[6]  Yanlin Li,et al.  Stability robustness characterization and related issues for control systems design, , 1993, Autom..

[7]  Tong Heng Lee,et al.  PI Tuning in Terms of Gain and Phase Margins , 1998, Autom..

[8]  C. Desoer,et al.  The feedback interconnection of lumped linear time-invariant systems☆ , 1975 .

[9]  Somanath Majhi,et al.  On-line PI control of stable processes , 2005 .

[10]  R. B. Newell,et al.  Robust multivariable control of complex biological processes , 2004 .

[11]  Weng Khuen Ho,et al.  Tuning of PID controllers based on gain and phase margin specifications , 1995, Autom..

[12]  M. Safonov,et al.  Exact calculation of the multiloop stability margin , 1988 .

[13]  Zalman J. Palmor,et al.  Automatic tuning of decentralized PID controllers for TITO processes , 1993, Autom..

[14]  Karl Johan Åström,et al.  Dominant pole placement for multi-loop control systems , 2002, Autom..

[15]  Shankar P. Bhattacharyya,et al.  Robust, fragile, or optimal? , 1997, IEEE Trans. Autom. Control..

[16]  Weng Khuen Ho,et al.  Tuning of Multiloop Proportional−Integral−Derivative Controllers Based on Gain and Phase Margin Specifications , 1997 .

[17]  A. Tits,et al.  Robustness in the presence of mixed parametric uncertainty and unmodeled dynamics , 1991 .

[18]  Chang-Chieh Hang,et al.  A quasi-LMI approach to computing stabilizing parameter ranges of multi-loop PID controllers , 2007 .

[19]  Chang-Chieh Hang,et al.  Frequency Domain Approach to Computing Loop Phase Margins of Multivariable Systems , 2008 .

[20]  Qing-Guo Wang,et al.  PID Control for Multivariable Processes , 2008 .

[21]  M. Morari,et al.  Computational complexity of μ calculation , 1994, IEEE Trans. Autom. Control..

[22]  M. Athans,et al.  A multiloop generalization of the circle criterion for stability margin analysis , 1981 .

[23]  Evanghelos Zafiriou,et al.  Robust process control , 1987 .

[24]  C. Desoer,et al.  On the generalized Nyquist stability criterion , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

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

[26]  C. Ballantine Numerical range of a matrix: some effective criteria , 1978 .

[27]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[28]  M. Safonov Stability margins of diagonally perturbed multivariable feedback systems , 1982 .

[29]  Ya-Gang Wang,et al.  PID Autotuner Based on Gain- and Phase-Margin Specifications , 1999 .

[30]  William L. Luyben,et al.  Simple method for tuning SISO controllers in multivariable systems , 1986 .

[31]  Chih-Hung Chiang,et al.  A direct method for multi-loop PI/PID controller design , 2003 .

[32]  Charles A. Desoer,et al.  Zeros and poles of matrix transfer functions and their dynamical interpretation , 1974 .

[33]  Tore Hägglund,et al.  Automatic tuning of simple regulators with specifications on phase and amplitude margins , 1984, Autom..

[34]  H. Rosenbrock,et al.  State-space and multivariable theory, , 1970 .

[35]  Chang-Chieh Hang,et al.  Frequency Domain Approach to Computing Loop Phase Margins of Multivariable Systems , 2008 .

[36]  K.J. ÅSTRÖM,et al.  Design of PI Controllers based on Non-Convex Optimization , 1998, Autom..

[37]  R. K. Wood,et al.  Terminal composition control of a binary distillation column , 1973 .

[38]  Bengt Lennartson,et al.  Evaluation and simple tuning of PID controllers with high-frequency robustness , 2006 .

[39]  V. Arnold ON MATRICES DEPENDING ON PARAMETERS , 1971 .

[40]  Edmond A. Jonckheere,et al.  Multivariable gain margin , 1991 .

[41]  Hsiao-Ping Huang,et al.  Modified Relay Feedback Approach for Controller Tuning Based on Assessment of Gain and Phase Margins , 2006 .

[42]  Jan Cvejn,et al.  Sub-optimal PID controller settings for FOPDT systems with long dead time , 2009 .

[43]  Yang Hong,et al.  Self-tuning multiloop PI rate controller for an MIMO AQM router with interval gain margin assignment , 2005, HPSR. 2005 Workshop on High Performance Switching and Routing, 2005..