In order to improve the speed and accuracy of temperature rise control,a MSSA-based PID parameter-optimized temperature rise control method is proposed.To improve the premature convergence problem of the original SSA algorithm and improve its solving accuracy,a dynamic reverse learning mechanism and adaptive t-distribution dis-turbance are introduced to improve its solving process.The MSSA-PID control model is established and used to control the typical first-order,second-order,and time-delay systems,verifying its effectiveness and superiority from a theoretical per-spective.Finally the test performed on a self-established temperature rise control platform indicates that the proposed temperature rise control system has high control accuracy and stable control effect.
关键词
温度控制/PID/麻雀搜索算法/动态反向学习机制/自适应t分布
Key words
temperature control/PID/Sparrow Search Algorithm/dynamic reverse learning mechanism/adaptive t-distribution
维普
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