Process frequency response estimation from relay feedback

Abstract In this paper, a method for process frequency response identification is proposed, which can identify multiple points on process frequency response from a single relay feedback test. The process input and output transients resulting from a relay feedback cannot be directly converted to the frequency domain to obtain a process frequency response using FFT. A decay exponential is then proposed to modify the process input and output, so that the process frequency response can be identified with the help of FFT. Real-time testing of the method on various processes gives quite accurate process frequency responses, especially in the frequency range [0, ω c ], which is important for control design and process modelling. The method inherits and extends the advantages of the original relay auto-tuning technique. It can be easily applied to PID auto-tuning and to transfer function modelling.

[1]  Tore Hägglund Process Control in Practice , 1993 .

[2]  Tore Hägglund,et al.  Automatic Tuning of Pid Controllers , 1988 .

[3]  William L. Luyben,et al.  Process Modeling, Simulation and Control for Chemical Engineers , 1973 .

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

[5]  Robert W. Ramirez,et al.  The Fft, Fundamentals and Concepts , 1984 .

[6]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[7]  Mark Cartwright Fourier Methods for Mathematicians, Scientists and Engineers , 1990 .

[8]  J. Schoukens,et al.  Parametric identification of transfer functions in the frequency domain-a survey , 1994, IEEE Trans. Autom. Control..

[9]  Cheng-Ching Yu,et al.  Automatic tuning and gain scheduling for pH control , 1993 .

[10]  Kok Kiong Tan,et al.  Automatic tuning of finite spectrum assignment controllers for delay systems , 1995, Autom..

[11]  Qiang Bi,et al.  A Frequency Domain Controller Design Method , 1997 .

[12]  Cheng-Ching Yu,et al.  Use of biased-relay feedback for system identification , 1996 .

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

[14]  Cheng-Ching Yu,et al.  Monitoring procedure for intelligent control : on-line identification of maximum closed-loop log modulus , 1993 .

[15]  Chang-Chieh Hang,et al.  Self‐tuning Smith predictors for processes with long dead time , 1995 .

[16]  Mats Friman,et al.  Autotuning of Multiloop Control Systems , 1994 .

[17]  Chang Chieh Hang,et al.  Relay auto-tuning in the presence of static load disturbance , 1993, Autom..

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

[19]  Qing-Guo Wang,et al.  A knowledge-based approach to dead-time estimation for process control , 1995 .

[20]  Zalman J. Palmor,et al.  An auto-tuner for Smith dead time compensator , 1994 .

[21]  Weng Khuen Ho,et al.  Adaptive Control , 1993 .

[22]  Kok Kiong Tan,et al.  A new approach to analysis and design of Smith-predictor controllers , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[23]  Chang Chieh Hang,et al.  Reduced order process modelling in self-tuning control , 1991, Autom..

[24]  Peter E. Wellstead Non-parametric methods of system identification , 1981, Autom..

[25]  Karl Johan Åström,et al.  Assessment of Achievable Performance of Simple Feedback Loops , 1988 .

[26]  Gade Pandu Rangaiah,et al.  Closed-loop tuning of process control systems , 1987 .

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

[28]  Cheng-Liang Chen,et al.  Autotuning for model-based PID controllers , 1996 .

[29]  Qiang Bi,et al.  New approach to analysis and design of Smith-predictor controllers , 1996 .