The Model-Based Disturbance Rejection with MOMI Tuning Method for PID Controllers

The paper presents a tuning method for PID controllers which substantially improves closed-loop disturbance rejection performance while keeping the tracking performance. The tuning method is based on the internal disturbance compensator which parameters are calculated according to the Magnitude Optimum criterion. The results of experiments show that the proposed model-based approach gives superior disturbance-rejection response and lower controller activity when compared to Disturbance Rejection Magnitude Optimum tuning method.

[1]  D Vrecko,et al.  A new modified Smith predictor: the concept, design and tuning. , 2001, ISA transactions.

[2]  Aidan O'Dwyer,et al.  Handbook of PI and PID controller tuning rules , 2003 .

[3]  Carlos E. Garcia,et al.  Internal model control. 2. Design procedure for multivariable systems , 1985 .

[4]  Eduardo José Solteiro Pires,et al.  Many-Objective PSO PID Controller Tuning , 2015 .

[5]  Mituhiko Araki,et al.  Two-Degree-of-Freedom PID Controllers — Their Functions and Optimal Tuning , 2000 .

[6]  Stanko Strmcnik,et al.  Improving disturbance rejection of PI controllers by means of the magnitude optimum method. , 2004, ISA transactions.

[7]  Stanko Strmcnik,et al.  A magnitude optimum multiple integration tuning method for filtered PID controller , 2001, Autom..

[8]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[9]  Mikuláš Huba,et al.  Constrained Pole Assignment Control , 2006 .

[10]  J. Kocijan,et al.  Simplified disturbance rejection tuning method for PID controllers , 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

[11]  Damir Vrančić Magnitude Optimum Techniques for PID Controllers , 2012 .

[12]  A. L. Whiteley Theory of servo systems, with particular reference to stabilization , 1946 .

[13]  Carlos E. Garcia,et al.  Internal model control. A unifying review and some new results , 1982 .

[14]  Carlos E. Garcia,et al.  Internal model control. 3. Multivariable control law computation and tuning guidelines , 1985 .

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

[16]  Damir Vrančić,et al.  Dual Mode Feedforward-Feedback Control System , 2015 .