摘要
根据液压系统的动力学模型,确定了PID控制器的控制对象,以综合控制性能为优化目标函数,运用量子粒子群算法对PID参数进行优化整定,优化实例的结果证明遗传算法这一全新的优化方法能快速、有效地得到全局优化解。
Based on the dynamic model of hydraulic system, the control target of PID controller was determined. With the comprehensive performance as the optimization object function, PID parameters were optimized by applying Quantum Particle Swarm Optimization. The result for an example shows that the new optimal method can get global optimal solution speedly and validly.
出处
《机床与液压》
北大核心
2009年第8期148-149,155,共3页
Machine Tool & Hydraulics
关键词
量子粒子群算法
PID控制
优化设计
液压系统
Quantum Particle Swarm Optimization
PID control
Optimal design
Hydraulic system
