摘要
液压弯辊装置调控板形的效果,取决于PID控制器三个参数的优劣,然而传统PID参数整定方法存在精度低、调试时间长的问题。以某钢铁公司1220冷轧机液压弯辊系统为仿真对象,利用变交叉概率和变异概率的自适应遗传算法优化PID控制器参数,从而提高液压弯辊PID控制器的控制性能和自适应能力。仿真结果表明采用此方法优化PID参数,系统的抗干扰能力较强,同时提高了系统的响应速度和控制精度。
The flatness control effect of hydraulic bending roll depends on the good and bad of three parameters of PID controller. However, the traditional methods of PID parameter tuning has the problems of low precision and long time adjustment. This article took hydraulic bending system of a company 1220 roiling mill as the simulation object, the adaptive genetic algorithm of variation crossing probability and variation probability was utilized to optimize PID controller parameters so as to improve the control performance and adaptive capacity of hydraulic bending roll PID controller. Simulation results show that using this method to optimize the PID parameters, the system has strong anti-interference ability, at the same time, the response speed and control precision of system has been improved.
出处
《冶金设备》
2013年第2期1-4,共4页
Metallurgical Equipment
基金
国家高科技研究发展计划(863
2009AA04Z143)
河北省重大自然科学基金(E2006001038)
河北省科技计划(10212101D)
关键词
PID
液压弯辊
自适应遗传算法
参数优化
PID Hydraulic bending roll Adaptive genetic algorithm Parameter optimization
