Exploring Servo Pressure Hydraulic System Design and Its Immune-particle Swarm Optimization Control Algorithm
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摘要: 推导出了压力机液压系统的传递函数,选定各液压元件,对控制系统传递函数进行了稳定性分析,设计出PID(比例、微分、积分)控制器。设计出了适合于伺服压力机液压系统的免疫粒子群控制方法,将该方法应用于PID控制,建立控制系统方框图,利用免疫算法的交叉、变异算子寻优出系统的新控制参数,采用新的寻优结果对系统进行优化仿真。仿真结果显示:通过免疫粒子群控制算法所获得的液压系统过渡时间比传统PID算法得到的过渡时间短,控制特性明显。Abstract: In order to design a servo pressure hydraulic system,its transfer function was derived and the hydraulic components were selected.We analyzed the stability of the transfer function of its control system and designed its PID(Proportional Integral Differential) controller.In order to compare with the traditional PID control method,we designed the immune-particle swarm optimization control algorithm suitable for the servo pressure hydraulic system and applied the control algorithm to the PID control.We also gave the block diagram of the control system.With the crossover operator and the mutation operator of the immune-particle swarm optimization control algorithm,we optimized the new parameters of the control system and used the new optimization results to simulate its optimization.The simulation results show that the transition time for the servo pressure hydraulic system obtained from the immune-particle swarm optimization control algorithm is shorter than the traditional PID control algorithm.
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