基于模糊神经网络PID的发动机调速系统研究

Research on Engine Speed Control System Based on Fuzzy Neural Nnetwork PID

柴油机调速系统具有较强的非线性和复杂多变的模拟参数,传统PID控制算法难以保证所给定的调速器参数在系统工作过程中保持最优。综合模糊控制、神经网络与PID调节各自的优点,采用一种基于模糊神经网络的PID控制器来设计调速系统。它具有模糊控制良好的非线性控制作用,神经网络超强的学习能力、适应能力和PID控制的广泛适应性。使用MATLAB/Simulink进行仿真,仿真结果表明,该控制器具有超调量少、精度高、达到稳态的时间短等优点,与其它控制器相比,调速性能更好。

Diesel engine speed regulation system with strong nonlinear and complex simulation parameters,the traditional PID control algorithm is difficult to guarantee given by the governor parameters in the working process of the system to maintain optimal.Integrated fuzzy control,neural network and PID regulating respective advantages,using a fuzzy neural network PID controller based on to design control system.It has the fuzzy control of nonlinear control,neural network super learning ability,adaptation ability and PID control a wide range of adaptability.