PID control system analysis, design, and technology

Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This stimulates the development of "intelligent" tools that can assist engineers to achieve the best overall PID control for the entire operating envelope. This development has further led to the incorporation of some advanced tuning algorithms into PID hardware modules. Corresponding to these developments, this paper presents a modern overview of functionalities and tuning methods in patents, software packages and commercial hardware modules. It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging. The inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree. This should also assist future development of "plug-and-play" PID controllers that are widely applicable and can be set up easily and operate optimally for enhanced productivity, improved quality and reduced maintenance requirements.

[1]  D. P. Atherton,et al.  An analysis package comparing PID anti-windup strategies , 1995 .

[2]  H. T,et al.  The future of PID control , 2001 .

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

[4]  Tore Hägglund,et al.  Industrial adaptive controllers based on frequency response techniques , 1991, Autom..

[5]  Yun Li,et al.  PIDeasy and automated generation of optimal PID controllers , 1998 .

[6]  H J Versteeg,et al.  Evaluation of commercial available adaptive controllers , 1986 .

[7]  Liuping Wang,et al.  New frequency-domain design method for PID controllers , 1995 .

[8]  Tore Hägglund,et al.  The future of PID control , 2000 .

[9]  D. Grant Fisher,et al.  A Comparison of Adaptive Controllers: Academic vs Industrial , 1988, 1988 American Control Conference.

[10]  Yun Li,et al.  Performance indices in evolutionary CACSD automation with application to batch PID generation , 1999, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).

[11]  Joseba Quevedo,et al.  Digital Control: Past, Present and Future of PID Control , 2000 .

[12]  Tore Hägglund,et al.  Automatic Tuning and Adaptation for PID Controllers - A Survey , 1992 .

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

[14]  F. G. Shinskey,et al.  Feedback controllers for the process industries , 1994 .

[15]  R. Gorez.  A survey of PID auto-tuning methods : Feature issue controller tuning , 1997 .

[16]  Yun Li,et al.  Trajectory Controller Network and Its Design Automation Through Evolutionary Computing , 2000, EvoWorkshops.

[17]  Runsheng Cao,et al.  Evaluation of a pattern recognition adaptive PID controller , 1990, Autom..

[18]  Tore Hägglund,et al.  Benchmark systems for PID control , 2000 .

[19]  C.C. Hang,et al.  A comparative performance study of PID auto-tuners , 1991, IEEE Control Systems.

[20]  P. Marsh,et al.  TURN ON, TUNE IN , 1998 .

[21]  C. Knospe,et al.  PID control , 2006, IEEE Control Systems.

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