基于遗传算法精冲机快速缸液压伺服系统设计及PID控制优化

Rapidly Cylinder Hydraulic Servo System Design and Optimization of PID Control Based on Genetic Algorithm

通过对精冲机快速缸液压伺服系统理论分析,并在AMESim中建立快速缸仿真模型.由于精冲机快速缸定位精度会影响模具保护可靠性,以及零件的成形质量,为提高定位精度,引入PID控制器对液压伺服系统位置闭环控制.通过遗传算法和NLPQL算法对PID参数优化,并与传统优化方法仿真对比分析.仿真结果表明,相比于传统算法和NLPQL算法,基于遗传算法优化的PID控制能够在保证系统稳定性的情况下,有效加快快速缸的响应速度、提高定位精度.

In this study,a simulation model of electro-hydraulic servo system is established in AMESim based on its theoretical analysis.As the position accuracy of fine-blanking machine influences the reliability of mould protection and the shape of products,PID controller is used to control the position closed loop of electro-hydraulic servo system in order to improve position precision.Genetic Algorithm and NLPQL algorithm are used to optimize the PID parameters and to compare with the traditional optimization method.The simulation results strongly suggest that,compared with the traditional method and NLPQL algorithm,the control system based on Genetic Algorithm optimization method is capable of good stability,high accuracy and quick response.