Research and analysis of constrained generalized predictive identification algorithm based on the control field of hydropower industry

For GPC with constraints, these shortcomings are made up on the basis of nonlinear programming algorithm. Because of the strong local search ability of nonlinear programming and the strong global search ability of the algorithm, combined with the advantages of the algorithm and introduced into the r...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-02, Vol.651 (2), p.22078
Main Authors: Gou, Xiaoping, Zhang, Wan Jun, Zhang, Feng, Zhang, Jingxuan, Zhang, Jingyi, Zhang, Jingyan
Format: Article
Language:English
Subjects:
Algorithms
Constraints
Control theory
Hydroelectric power
Nonlinear programming
Optimal control
Optimization
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Summary:For GPC with constraints, these shortcomings are made up on the basis of nonlinear programming algorithm. Because of the strong local search ability of nonlinear programming and the strong global search ability of the algorithm, combined with the advantages of the algorithm and introduced into the rolling optimization process of GPC, the optimal control law is obtained. In this paper, a constrained generalized predictive identification algorithm based on the control field of hydropower industry is proposed, and a model of the constrained generalized predictive identification algorithm based on the control field of hydropower industry is established. The simulation results verify the applicability and effectiveness of the combined algorithm in the study of GPC, improve the accuracy and speed of the optimization results, and obtain satisfactory control effect.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/651/2/022078