论文信息 - Design and Industrial Applications of a Control Performance Assessment Based PID Controller

Design and Industrial Applications of a Control Performance Assessment Based PID Controller

Abstract In the challenge to manufacture high quality products for less, it is necessary to regularly monitor performance of control loops that regulate the quality variables of interest. This paper describes a unified approach to the design of a control performance and PID controller which are based on the above control strategy. According to the proposed approach, the control performance is first monitored regularly. Then, if the performance exceeds a user-defined threshold, the system identification is initiated and PID parameters are subsequently updated for the new model. Optimal PID parameters are calculated based on the LQG trade-off curve obtained for the re-identified process model. The behavior of the proposed scheme is evaluated by application to real actual chemical processes.

Kazuo Kawada | Toru Yamamoto | Hidekazu Kugemoto | Yoshinori Kutsuwa

[1] T. Harris. Assessment of Control Loop Performance , 1989 .

[2] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

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

[4] Michael J. Grimble,et al. Controller performance benchmarking and tuning using generalised minimum variance control , 2002, Autom..

[5] David Clarke,et al. Self-tuning control , 1979 .

[6] Lennart Ljung,et al. Theory and applications of self-tuning regulators , 1977, Autom..

[7] Peter Wellstead,et al. Pole assignment self-tuning regulator , 1979 .

[8] S. L. Shah,et al. Performance adaptive control , 1992 .

[9] T. Harris,et al. Performance assessment measures for univariate feedback control , 1992 .

[10] Ioan Doré Landau,et al. Unification of discrete time explicit model reference adaptive control designs , 1981, Autom..

[11] Biao Huang,et al. A pragmatic approach towards assessment of control loop performance , 2003 .

[12] Sirish L. Shah,et al. PERFORMANCE-DRIVEN ADAPTIVE PID CONTROLLER DESIGN : THEORY AND EXPERIMENTAL EVALUATION , 2007 .

[13] Toru Yamamoto,et al. Design and experimental evaluation of a multivariable self-tuning PID controller , 2004 .

[14] E. Camacho,et al. Generalized Predictive Control , 2007 .