Abstract:

According to the characteristics that the parameters of cold rolling hydraulic APC system changed over time, which was a dynamic system. This paper proposed a strategy for PID controller parameters setting based on improved DMPSO algorithm. This strategy might set and optimize PID controller parameters in real time through the ability of dynamic multi-objective particle swarm optimization algorithm that adapted environment changes and optimized. Meanwhile, to avoid falling into local optimum and slow convergence speed, a DMPSO was put forward based on multiple leaders in guiding the particles search.Simulation results show that the control system with fast track, small overshoot and strong adaptability is better than the traditional PID control.

Key words: multiple leader, dynamic multi-objective particle swarm optimization(DMPSO), automatic position control(APC) system, PID controller

摘要：

冷轧液压伺服位置自动控制(APC)系统中，系统参数会随着运行时间发生改变，针对系统这一特性，提出了一种基于改进动态多目标粒子群（DMPSO）算法的PID控制器参数整定策略。当系统发生变化时，该策略利用动态多目标粒子群算法的寻优能力和对环境变化的适应能力重新对PID参数进行整定和寻优。同时，针对算法存在的易于陷入局部最优和收敛速度较慢等缺陷，提出了一种基于多领导粒子策略的动态多目标粒子群算法。仿真结果表明：该控制系统对环境变化跟踪快，超调量小，调整时间短，性能明显优于传统PID控制。

关键词: 多领导粒子, 动态多目标粒子群, APC系统, PID控制