控制理论(社会学)
解耦(概率)
非线性系统
模糊逻辑
涡轮机
模型预测控制
控制工程
模糊控制系统
工程类
稳健性(进化)
控制系统
计算机科学
控制(管理)
人工智能
物理
电气工程
基因
机械工程
化学
量子力学
生物化学
作者
Zhe Zhang,Bin Wang,Teng Ma,Bo Ai
标识
DOI:10.1177/10775463211062332
摘要
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.
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