改进的PSO及其在结晶器液位控制中的应用

针对粒子群算法存在的易于陷入局部极值和收敛速度慢等不足，提出了基于变惯性权重和多种群并行寻优策略的，通过多种群寻优策略来解决陷入局部极值的问题，利用变惯性权重的方法提高收敛速度。并将改进粒子群算法在连铸结晶器液位PID控制器参数自整定中进行了应用研究，仿真结果表明了此算法在PID参数的自整定过程中的有效性。

Improved PSO and its application in crystallizer liquid level control system

Due to the shortcomings of low precision and premature convergence in PSO,an improved PSO algorithm based on variable inertia weight and multi-swarm parallel optimization is proposed.Multi-swarm optimization is used to avoid premature convergence,and variable inertia weight is applied to improve the convergence precision.The proposed IPSO was applied to parameter self-tuning of the crystallizer liquid- level PID controller in continuous steel casting system.The simulation results show that IPSO is useful for PID self-tuning.