Model reference adaptive predictive control for a variable-frequency oil-cooling machine
Ching-Chih Tsai
Chih-Hung Huang
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: April 2004
Volume: 51,
Issue: 2
On page(s): 330- 339
ISSN: 0278-0046
INSPEC Accession Number: 7964590
Digital Object Identifier: 10.1109/TIE.2004.825229
Current Version Published: 2004-04-05
Abstract
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.
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