Research On The Control Method Of A Dual-valve Hydraulic System Of A Weapon Platform

Based on the background of the localization project,this paper proposes a parallel control scheme of a large flow proportional valve and a small flow servo valve.The main points of this paper including designing a switching controller for the transition from a double valve to a single valve after analysisand proposing a suitable control strategy for the accuracy of the single valve control in the later stage.This paper analyzes the structure and working principle of the traditional hydraulic control and the dual-valve parallel control hydraulic servo system,and introduces the selection of the hydraulic components of the dual-valve hydraulic system of this subject.On this basis,a mathematical model is established according to the valve-controlled cylinder theory.System stability and step response were simulated by the model,which proves that the dual-valve control system is workable and necessary..Finally,the non-linear factors in the hydraulic system were analyzed and a joint simulation model was established.Focusing on the problem of how to smoothly switch from dual-valve control to singlevalve control,this paper analyzes the working principles and performance of direct switching,linear switching,and fuzzy switching.The results of joint simulation show that fuzzy switching is able to effectively increase the pace of response in the dual-valve control period,and shows small overshoot and small fluctuation during the switching period,which shows that fuzzy switching has the advantages of good stability and smooth switching.In the single valve control system,aiming to improve the control accuracy of the system,a PID control method based on fuzzy RBF neural network system is proposed for the characteristics of strong nonlinearity of the system.As to the shortcomings of neural networks that they tend to fall into local optima and slow convergence speed,ant colony clustering and conjugate gradient optimization strategies are proposed.The simulation results show that the control strategy that combines fuzzy RBF neural network PID control with switching control has the advantages of fast response,high precision,and strong stability.Finally,a semi-physical simulation platform of the double-valve hydraulic system was built to verify the control performance of the double-valve switching algorithm and the optimized fuzzy RBF neural network control strategy.