Model reference adaptive predictive control for a variable-frequency oil-cooling machine

This paper develops methodologies and techniques for the design, analysis, and implementation of a model reference adaptive predictive temperature controller for a variable-frequency oil-cooling machine, suited for cooling high-speed machine tools. The oil-cooling process is modeled experimentally as a first-order system model with a time delay and its system parameters are identified using the recursive least-square method. Based on this model, a model reference adaptive predictive controller is proposed for achieving set-point tracking and robustness. A real-time model reference adaptive predictive control algorithm is then presented and implemented utilizing a stand-alone digital signal processor TMS320F243 from Texas Instruments Incorporated. The experimental results show that the proposed control method is proven capable of giving satisfactory performance under set-point changes, fixed loads, and load changes.

[1]  Rubiyah Yusof,et al.  Application of generalised predictive control to a temperature control process , 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.

[2]  A. Hasegawa,et al.  Development of a strip temperature control system with adaptive generalized predictive control , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.

[3]  Ching-Chih Tsai,et al.  Temperature control of a plastic extrusion barrel using PID fuzzy controllers , 1995, Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications.

[4]  Graham C. Goodwin,et al.  Adaptive filtering prediction and control , 1984 .

[5]  M. Kaneda,et al.  A design method of self-tuning PID controllers , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[6]  Ching-Chih Tsai,et al.  Fuzzy supervisory predictive PID control of a plastics extruder barrel , 1998 .

[7]  C. Prada,et al.  Self-tuning predictive PID controller , 1991 .

[8]  Wei Ren,et al.  Stochastic adaptive prediction and model reference control , 1994, IEEE Trans. Autom. Control..

[9]  Sebastian Engell,et al.  Model Predictive Control Using Neural Networks [25 Years Ago] , 1995, IEEE Control Systems.

[10]  S. L. Shah,et al.  Development of a stochastic predictive PID controller , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[11]  Ching-Chih Tsai,et al.  Multivariable self-tuning temperature control for plastic injection molding process , 1998 .

[12]  Ching-Chih Tsai,et al.  Adaptive decoupling predictive temperature control for an extrusion barrel in a plastic injection molding process , 2001, IEEE Trans. Ind. Electron..

[13]  B. W. Hogg,et al.  Multivariable generalized predictive control of a boiler system , 1991 .

[14]  Helen H. Lou,et al.  Fuzzy model predictive control , 2000, IEEE Trans. Fuzzy Syst..

[15]  S. L. Shah,et al.  Robust stability of GPC as applied to a first order model with delay , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[16]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[17]  K. Y. Zhu,et al.  Robust adaptive decoupling design for generalized predictive control with neural network , 1996, Proceedings of 35th IEEE Conference on Decision and Control.