一种基于GA-BP算法的PIDNN控制策略

A PID Neural Network Control Strategy Based on GA-BP Algorithm

为改善常规PID控制器对非线性对象的控制性能,提出一种基于GA-BP算法的PID神经网络(PID NeuralNetwork,PIDNN)控制策略。将PID控制规律融入神经网络,构成一种PIDNN控制器,并利用GA-BP算法来对其进行参数优化。采用所设计的PIDNN控制器对一种非线性系统进行仿真研究,仿真结果表明:GA-BP算法收敛速度快,所设计的PIDNN控制器与常规PID控制器相比,其控制稳定性和快速性等性能都得到了很大改善。

A kind of PID neural network（PIDNN） control strategy based on GA-BP algorithm is presented to improve the performance of the routine PID on nonlinear object.The PID control law is incorporated with the neural network to produce the PIDNN controller,whose parameters are optimized by the GA-BP algorithm.In order to verify the validity of the PIDNN controller and the corresponding PIDNN control strategy,the PIDNN controller is adopted to carry out simulation researches to a kind of nonlinear system.The simulation results indicate that the GA-BP algorithm convergence speed is fast,its control stability and speed of the PIDNN controller based on GA-BP algorithm are obviously better than the routine PID controller.