Research On Simulation And Optimal Control Of Electro - Hydraulic Servo System Based On AMESim

Electro-hydraulic servo system of explosive minesweepers has a lot of nonlinear links:the uncertainty of system structure and parameters, larger torque disturbance, etc. So the traditional modeling and control strategy cannot meet the requirement of control accuracy. Compound controller strategy is combined with the feed-forward controller and the fuzzy PID controller. Fuzzy PID control is very suitable for nonlinear systems, but for electro-hydraulic servo system with a lot of the interference, a simple fuzzy PID control system can not effectively eliminate the interference in the control process of the electro-hydraulic servo system of explosive minesweepers. As with Electro-hydraulic servo system of explosive minesweepers study, the system is modeled by neural network and uses compound controller to control the system.Firstly, the hardware structure、working principle and hardware composition of the electro-hydraulic servo system of explosive minesweepers is introduced. The hydraulic circuits of the system is designed by AMESim, the data collection is built by Simulink. With the co-simulation achieved, the input and output data of the system are acquired.Respectively by using radial basis function (RBF) neural network and genetic algorithm (GA) to optimize RBF neural network, two kinds of modeling way to model electro-hydraulic servo system, and analyze the error between model and the actual output and the variance between the two signals of the same degree, the result shows that the precision of model built by the genetic algorithm (GA) to optimize RBF neural network is high, and the generalization ability is better.Finally, it is design the composite controller of electro-hydraulic servo system. The compound controller is combined with the feed-forward controller and the fuzzy PID controller, and by analyzing of the signal and error curve of Step signal and sinusoidal signal,and compared with the traditional PID control, it can be seen that the compound controller improves the control accuracy and the steady state accuracy of the system, and enhances the system anti-interference capability.