Abstract
This paper deals with the high-performance temperature control issues of spacecraft thermal vacuum tests. More precisely, the novel model identification and self-tuning PID control method is developed based on neural network. The corresponding controller design details are provided and the experiment results are given for verifying considerable advantages with our proposed control strategy in the end.
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