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Abstract

This paper presents a direct self-tuning model-following control with integral action for a variable-frequency oil-cooling process, suitable for cooling down high-speed machine tools. The oil-cooling process is experimentally modelled as a first-order system with a given time-delay Based on this model, a direct self-tuning model-following control with integral action is proposed for achieving set-point tracking and disturbance rejection. A real-time adaptive predictive control algorithm is then presented and implemented utilizing a standalone digital signal processor (DSP). In comparison with the control method of Tsai and Huang, the proposed method provides a more practical and less computationally intensive approach for achieving the desired high-precision set-point tracking and disturbance rejection. Experimental results show that the proposed control method is capable of giving a satisfactory set-point tracking performance under set-point changes, fixed loads, and load changes.

Keywords

direct self-tuning model-following control temperature control oil-cooling process

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Direct Self-Tuning Model-Following Control with Integral Action for a Variable-Frequency Oil-Cooling Process

Abstract

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References