基于模糊神经网络的非线性系统预测函数控制研究

Research on predictive function control of nonlinear system based on fuzzy neural network

针对预测函数控制难以很好地实现非线性系统控制的问题,将模糊神经网络与预测函数控制相结合,设计一种基于模糊神经网络的非线性系统的预测函数控制器。用模糊神经网络辨识非线性系统的模型,辨识结果送到预测函数控制中,从而得到预测模型,最终得到最优的控制量。通过Matlab计算机仿真,可以看出此控制器对于非线性系统具有良好的控制效果和鲁棒性。

Predictive functional control is difficult for the realization of a good control in non-linear system, so the fuzzy neural network combined with the predictive functional control, a kind of predictive functional controller for the nonlinear systems is designed which based on fuzzy neural network. The fuzzy neural network is used to identify the model of nonlinear systems, and the identification results sent to the predictive functional control, so the predictive models can be got. Finally the optimal control value can be got. Through the Matlab computer simulation, we can see, this controller for the nonlinear system has good control performance and robustness.