基于神经网络逆控制方法的水轮发电机组非线性控制器仿真研究

Simulation Research on Nonlinear Controller for Hydoeletric Generating Unit Based on the Theory of Neural Networks Inverse System

基于水轮发电机组刚性水击模型和神经网络逆系统控制方法,在分析励磁与导叶系统可逆性的基础上提出了一种新的水轮发电机组解耦控制器设计方法。理论分析和仿真结果表明该控制策略较好的解决了水轮发电机组控制时存在的多变量、非线性、强耦合问题;实现了系统的动态解耦控制,具有较好的适应性和鲁棒性,因此可有效增强输电系统的暂态稳定性。

Based on the hydroelectric generating unit and neural network inverse system control methods and through an-invertihility analysis of excitation and water valve system a new design method of decoupling controller for hydroelectric generating unit is proposed. Theoretical analyses and simulation results show that this control strategy can solve multi-variable, nonlinear and coupling problems in the hydroelectric generating unit control. It has realized the dynamic decoupling control of systems, demonstrated good adaptability and robustness against the changes of model and parameters, and it can effectively increase the transient stability of the power transmission system.