基于改进遗传算法的压力控制系统参数求解及仿真

本文针对遗传算法的特点,在隔代映射遗传算法基础上引入自适应策略,建立了自适应遗传算法数学模型,给出了具体算法流程。通过自适应策略,使IP_GA中的交叉、变异概率能够根据函数适应度大小自动调节,提高了收敛速度及解的质量。通过该算法对液压压力系统传递函数进行参数求解,建立了液压系统的开环模型。利用Matlab/Simulink工具对开环模型进行仿真并与实测输出曲线对比,验证了遗传算法求解液压伺服系统参数的可行性。同时,通过分析仿真结果,找出了材料试验机比例压力控制系统与伺服压力控制系统在辨识方法上的差别。

Parameter Solving of a Hydraulic Pressure ControlSystem and the Simulation Based on Improved GA

A model of GA is given in this paper.As for the feature of GA, a self adapting policy is drawn into mapped GA, and a mathematical model is provided.Meanwhile, a specific algorithm flowchart is given. Through the self adapting scheme, the probability of cross and variation can be automatically adjusted  by the fit degree; the convergence speed and the quality of results are increased. The parameters of the system transfer function are achieved by this method, and an open loop model is developed. By comparing the simulation results of the open loop and the actual testing curves of the system, the possibility of using GA to gain the system parameters of hydraulic servo system is proved. Meanwhile, by analyzing the simulation results, the differences of the identification methods are found on the material testing machine's proportional and servo pressure control systems.