数控压机伺服控制系统复合控制器I-ABC与PID优化

Compound Controller I-ABC and PID Optimization of CNC Press Servo Control System

为了提高数控压机伺服控制系统的控制精度,针对伺服控制系统运行控制过程构建数学模型,在人工蜂群算法基础上融入了云分析模型,之后采用改进人工蜂群算法(Improved Artificial Bee Colony,I-ABC)调节比例-积分-微分(Proportional Integral Differential,PID)参数,建立了一种复合控制方法。研究结果表明:以I-ABC进行PID控制时,可以使幅度差降低到0.4%,相位差基本在-0.54°之内,系统加载精度也获得了明显提升,表现出了更优的跟踪性能。以I-ABC进行PID控制时,能够对多余力起到明显抑制作用,响应速度也获得明显提升,可以有效满足系统的准确控制要求。在系统内加入干扰信号,引入I-ABC实施PID调节可以减小系统超调量,还可以获得更短调节时间,使系统获得更强抗干扰性能。

In order to improve the control precision of CNC press servo control system,a mathematical model is built for the opera-tion control process of servo control system,and cloud analysis model are integrated on the basis of artificial bee colony algorithm.Then,a compound control method was established by optimizing the parameters of Proportion-Integral-Differential(PID)con-troller by Improving the Artificial Bee Colony(I-ABC).The research results show that the range difference can be reduced to 0.4%and the phase difference is basically within-0.54°when the PID control is carried out by I-ABC.The loading accuracy of the system is also significantly improved,showing better tracking performance.I-ABC PID control can significantly inhibit the surplus force and improve the response speed,which can effectively meet the accurate control requirements of the system.When the interference signal is set in the system,the improved artificial bee colony algorithm can not only reduce the overshoot of the sys-tem,but also obtain a shorter adjustment time,so that the system has a stronger anti-interference performance.