Comparing Approaches to Constrained Design of Integrating Controllers

Abstract The paper discusses challenges related to design and education of the simplest integrating controllers for systems with the dominant first order plants and possible long dead time that obviously represent the most frequently treated control task. Based on experience achieved in research and education of the course “Constrained PID Control” Huba and Simunek (2007), three different approaches comprising the traditional PI control, the IMC approach and the newly developed disturbance observer (DO) based PI control are compared from different points of view. By designing and experimentally evaluating controllers for simple plants, students are encouraged to experience pros and cons of particular approaches. In this way, the modular design of constrained DO based PI control with different filtering properties based on deeper analysis of the core structure of the P controller with different types of nonmodelled dynamics approximations is shown as the most flexible and simultaneously sufficiently open and general alternative for stable, integral and unstable systems with possible long delays.

[1]  Eduardo F. Camacho,et al.  Unified approach for robust dead-time compensator design , 2009 .

[2]  Mikuláš Huba,et al.  Setpoint Versus Disturbance Responses of the IPDT Plant , 2012 .

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

[4]  Mikulás Huba,et al.  Experimenting with modified smith predictors using B&R automation studio target for simulink , 2012, PDeS.

[5]  Maorui Zhang,et al.  Problem and its solution for actuator saturation of integrating process with dead time. , 2008, ISA transactions.

[6]  Mikulás Huba Modular disturbance observer based constrained PI-controller design , 2012, 2012 12th IEEE International Workshop on Advanced Motion Control (AMC).

[7]  Kouhei Ohnishi,et al.  Microprocessor-Controlled DC Motor for Load-Insensitive Position Servo System , 1985, IEEE Transactions on Industrial Electronics.

[8]  Mikulás Huba,et al.  Modular Approach to Teaching PID Control , 2007, IEEE Transactions on Industrial Electronics.

[9]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[10]  K. Åström,et al.  Revisiting The Ziegler‐Nichols Tuning Rules For Pi Control , 2002 .

[11]  Yoichi Hori,et al.  Robust speed control of DC servomotors using modern two degrees-of-freedom controller design , 1991 .

[12]  Mikuláš Huba Computer Design of Robust I-controller , 2011 .

[13]  Mikulás Huba,et al.  Developing e-course Robust Constrained PID Control , 2011, iJET.

[14]  Sigurd Skogestad,et al.  Simple analytic rules for model reduction and PID controller tuning , 2003 .

[15]  Julio E. Normey-Rico,et al.  Control of integral processes with dead-time. Part 1: Disturbance observer-based 2DOF control scheme , 2002 .

[16]  M. Morari,et al.  Internal model control: PID controller design , 1986 .

[17]  Tore Hägglund,et al.  Signal filtering in PID control , 2012 .

[18]  Pavol Bistak,et al.  Dynamic classes in the PID control , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[19]  José Luis Guzmán,et al.  An unified approach for DTC design using interactive tools , 2009 .

[20]  Mikuláš Huba,et al.  Experimenting with the Modified Filtered Smith Predictors for FOPDT Plants , 2011 .

[21]  Raymond Hanus,et al.  Anti-windup, bumpless, and conditioned transfer techniques for PID controllers , 1996 .