Abstract
This paper introduces a successful example of temperature self-tuning control for a heat-vacuum cabin. To obtain the desired process when the temperature increases and decreases and to fulfil the steady accuracy requirement of the temperature control, a new self-tuning control algorithm is proposed which combines the minimum variance control strategy for reducing noises and the pole assignment strategy for following reference input. The self-tuning controller has been implemented on a single board microprocessor. The experiment results showed the controller has excellent properties.
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