基于遗传算法优化的跳汰机排料系统PID控制仿真  

Simulation of PID control of jig discharging system optimized by genetic algorithm

作　　者：吕亭亭[1] 马小平[1] 陈力[1] 

机构地区：[1]中国矿业大学信电学院,江苏徐州221008

出　　处：《工矿自动化》2013年第1期67-70,共4页Journal Of Mine Automation

基　　金：国家自然科学基金项目(60974126)

摘　　要：针对传统PID控制方法应用于跳汰机排料系统时难以获得最优控制参数、控制效果差的问题,提出一种基于遗传算法的PID控制参数优化方法,介绍了基于遗传算法优化的PID控制结构、参数优化方法及步骤,并以某矿井跳汰机排料系统为例,对基于该方法的PID控制器的控制性能进行了仿真研究。仿真结果表明,该方法能够实现PID控制参数的在线优化,收敛速度快,具有较强的鲁棒性;基于该方法的PID控制器具有良好的动、静态性能,无超调现象,控制精度高。In order to sovle problem of difficulty to obtain optimal control parameters and poor controleffect of jig discharging system by use of traditional PID control method, the paper proposed a method of using genetic algorithm to optimize PID control parameters, and introduced PID control structure based on genetic algorithm and parameter optimization method and steps. It also simulated control performance of PID controller based on the method taking jig discharging system of a coal mine as an example. The result showed that the method can online optimize PID control parameters with quick convergence rate and strong robustness, and the PID controller has good static and dynamic performance, high control precision and no overshoot.

关 键 词：跳汰机排料系统 PID控制器 遗传算法 参数优化 参数在线整定 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]