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Proceedings Paper

Research and application of predictive function control based on adjustment coefficient
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Paper 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.

Paper Details

Date Published: 31 August 2018
PDF: 6 pages
Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083502 (31 August 2018); doi: 10.1117/12.2502697
Show Author Affiliations
Quan Li, State Grid Zhejiang Electric Power Co., Ltd. (China)
Feng Yin, State Grid Zhejiang Electric Power Co., Ltd. (China)
Jian-Gen Hu, State Grid Zhejiang Electric Power Co., Ltd. (China)
Zhi-Hao Luo, State Grid Zhejiang Electric Power Co., Ltd. (China)
Ye Su, State Grid Zhejiang Electric Power Co., Ltd. (China)


Published in SPIE Proceedings Vol. 10835:
Global Intelligence Industry Conference (GIIC 2018)
Yueguang Lv, Editor(s)

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