论文信息 - ASSESSMENT OF TUNING OF PI CONTROLLERS FOR SELF-REGULATING PROCESSES

ASSESSMENT OF TUNING OF PI CONTROLLERS FOR SELF-REGULATING PROCESSES

Abstract A method for the performance assessment of Proportional-Integral (PI) controllers for single-input single-output (SISO) self-regulating processes is proposed. In particular, the effectiveness of the tuning of the controller with respect to its load disturbance rejection performances is determined by evaluating simultaneously different simple indexes that are calculated by considering only the manipulated variable and process output signals when an abrupt load disturbance occurs on the process. Thus, no model of the process is required. As a result, guidelines on how to improve the controller tuning are given. Simulation and experimental results demonstrate the effectiveness of the method in a process monitoring framework.

Antonio Visioli

[1] C. T. Seppala,et al. A review of performance monitoring and assessment techniques for univariate and multivariate control systems , 1999 .

[2] S. Joe Qin,et al. Control performance monitoring — a review and assessment , 1998 .

[3] Shankar P. Bhattacharyya,et al. Robust control design using the PID controller , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[4] K Nomoto. On the steering qualities of ships , 1957 .

[5] Alexander Horch. A simple method for detection of stiction in control valves , 1999 .

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

[7] Tore Hägglund,et al. Automatic detection of sluggish control loops , 1999 .

[8] Biao Huang,et al. Performance Assessment of Control Loops , 1999 .

[9] Tore Hägglund,et al. Supervision of adaptive control algorithms , 1997, Autom..

[10] J. Strom-Tejsen,et al. Planar motion mechanism tests and full-scale steering and manoeuvring predictions for a Mariner class vessel , 1965 .

[11] M. Petersson,et al. Assessing measurements for feedforward control , 2001, 2001 European Control Conference (ECC).

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

[13] Dale E. Seborg,et al. Controller performance assessment based on setpoint response data , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).