一种PID参数量子粒子群自整定方法  

A new PID parameter tuning method based on ouantum PSO

作　　者：乔占周[1] 

机构地区：[1]聊城职业技术学院工程学院,山东聊城252000

出　　处：《微型机与应用》2015年第20期70-71,75,共3页Microcomputer & Its Applications

摘　　要：传统的PID参数整定方法由于需要决策者具有较强的工程经验,难以处理非连续、非线性或时滞的复杂系统。针对这种情况,提出一种新的基于量子粒子群优化的PID参数自整定方法。该算法采用问题的时间绝对偏差乘积积分方程来评价粒子的适应值;设计一种时变变异算子,用来均衡粒子的全局和局部开发能力。实验结果表明,该算法在超调量和调节时间等指标上皆优于传统粒子群优化算法。Because of needing decision makers have more engineering experience, for the traditional PID parameter tuning methods, it is difficult to deal with some complicated control systems which is non-continuous, nonlinear or time-delay. In view of this, we propose a new PID parameter tuning method based on improved quantum particle swarm optimization algorithm. This algorithm adopts an integral equation on the product between time and absolute deviation to evaluate the fitness of particles, and designs a time-varying mutation operator to balance the global and local search capabilities of particles. Compared with traditional PSO algorithm, experimental results show that the proposed algorithm is better than the traditional PSO algorithm in terms of the overshoot and adjusting time.

关 键 词：PID参数 量子粒子群 时变变异 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]