Affiliation:
1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, P.R. China
2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, P.R. China
Abstract
This study presents fuzzy decoupling predictive functional control for nonlinear hydro-turbine governing systems with time delay and strong coupling. Here, the Takagi–Sugeno fuzzy approach and fuzzy neural network decoupling algorithm are implemented in the pretreatment of a four-dimensional time delay hydro-turbine governing system model, aiming to solve the nonlinearity and separate coupling variables of the hydro-turbine governing system effectively. Then, a new fuzzy decoupling predictive functional control strategy proposed by combining the simplified hydro-turbine governing system model and predictive function control as well as the robustness and stability of the designed controller are verified by theoretical derivation. Numerical experiment demonstrates effectiveness and superiority of the proposed approach in comparison with fuzzy control under different operation conditions.
Funder
National Natural Science Foundation of China
Shaanxi Province Science and Technology plan
Shaanxi Provincial Water Resources Department
Shaanxi Province Key Research and Development Plan
The Fundamental Research Funds for the Central Universities
Young Scholar Project of Cyrus Tang Foundation
Subject
Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science
Cited by
5 articles.
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