Research and application of predictive function control based on adjustment coefficient

Quan Li; Feng Yin; Jian-Gen Hu; Zhi-Hao Luo; Ye Su

doi:10.1117/12.2502697

31 August 2018 Research and application of predictive function control based on adjustment coefficient

Quan Li, Feng Yin, Jian-Gen Hu, Zhi-Hao Luo, Ye Su

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 1083502 (2018) https://doi.org/10.1117/12.2502697
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

Abstract

A predictive function control method based on the adjustment coefficient is proposed in this paper. For the first order inertia plus pure delay object in industry, the optimal control law of predictive function can be obtained when using a basic function (step function). In this paper, a single adjustment coefficient optimal control law is obtained, in order to improve the control quality, the filter link is added after the control law. Secondly, a single adjustment coefficient and filtering inertial time constant setting method are proposed, that is, the genetic optimization algorithm is used to set the adjustment coefficient, the specific steps of genetic algorithm optimization are given, the performance index design and the range of adjustment coefficient optimization parameters are given. According to this method, the optimal adjustment coefficient can be obtained for any first-order inertial delay object. Finally, the simulation verification of the algorithm is given, and the validity of the algorithm is proved by the experiment.

Citation Download Citation

Quan Li, Feng Yin, Jian-Gen Hu, Zhi-Hao Luo, and Ye Su "Research and application of predictive function control based on adjustment coefficient", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083502 (31 August 2018); https://doi.org/10.1117/12.2502697

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