On-line process identification and PID controller autotuning

We propose a new and simple on-line process identification method for the automatic tuning of the PID controller. It does not require a special type of test signal generators such as relay or P controller only if the signals are persistently exciting. That is, a user can choose arbitrary signal generators such as relay, a P controller, the controller itself, pulse signal and step signal generator because it needs only the measured process output and the controller output. It can incorporate nonlinearities due to actuator saturation or manual mode operation during identification work and shows a good robustness to measurement noises, nonlinearity of the process and disturbances. The proposed autotuner combined with the identification method and tuning rule using a model reduction shows good control properties compared with previous autotuning methods.

[1]  In-Beum Lee,et al.  Modified relay feedback method , 1995 .

[2]  F. P. Lees,et al.  The reduction of complex transfer function models to simple models using the method of moments , 1969 .

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

[4]  Simple methods for identifying linear systems from frequency or time response data , 1971 .

[5]  Su Whan Sung,et al.  Automatic Tuning of PID Controller Using Second-Order Plus Time Delay Model , 1996 .

[6]  S. L. Harris,et al.  Controller tuning using optimization to meet multiple closed‐loop criteria , 1985 .

[7]  Antonis Papadourakis,et al.  Approximate dynamic models for chemical process systems , 1989 .

[8]  Tore Hägglund,et al.  Automatic Tuning of Simple Regulators , 1984 .

[9]  C. F. Chen,et al.  A novel approach to linear model simplification , 1968 .

[10]  William L. Luyben,et al.  An improved autotune identification method , 1991 .

[11]  W. Rugh Design of nonlinear PID controllers , 1987 .

[12]  Chang-Chieh Hang,et al.  Autotuning of multiloop proportional-integral controllers using relay feedback , 1993 .

[13]  C. F. Chen,et al.  An algebraic method for control systems design , 1970 .

[14]  Cheng-Liang Chen,et al.  A simple method for on‐line identification and controller tuning , 1989 .

[15]  Sunwon Park,et al.  Relay feedback method for tuning of nonlinear pH control systems , 1993 .

[16]  Jietae Lee On‐line PID controller tuning from a single, closed‐loop test , 1989 .

[17]  Su Whan Sung,et al.  pH Control Using a Simple Set Point Change , 1995 .

[18]  E. C. Levy Complex-curve fitting , 1959, IRE Transactions on Automatic Control.

[19]  Shih‐Haur Shen,et al.  Use of relay‐feedback test for automatic tuning of multivariable systems , 1994 .

[20]  C. Sanathanan,et al.  Transfer function synthesis as a ratio of two complex polynomials , 1963 .

[21]  P. Payne An improved technique for transfer function synthesis from frequency response data , 1970 .

[22]  Wonhui Cho,et al.  An improved technique for PID controller tuning from closed‐loop tests , 1990 .

[23]  Dale E. Seborg,et al.  A new method for on‐line controller tuning , 1982 .

[24]  M. Matsubara On the equivalent dead time , 1965 .

[25]  Arthur Jutan,et al.  Extension of a new method for on‐line controller tuning , 1984 .

[26]  A. H. Whitfield Transfer function synthesis using frequency response data , 1986 .

[27]  Su Whan Sung,et al.  Comparison of two identification methods for PID controller tuning , 1993 .

[28]  Thomas F. Edgar,et al.  Computer-aided process control system design using interactive graphics , 1981 .