基于改进PSO算法的FESS的PI参数优化

FESS PI parameter optimization by an improved PSO algorithm

提出了一种改进粒子群优化(IPSO)算法用于FESS的PI控制器的参数优化设计。IPSO算法通过混沌初始化、迭代中加入混沌扰动和自适应调整惯性权重系数来克服传统PSO算法效率低、易陷入局部极值和算法早熟等缺陷。基于IPSO算法,以ITAE指标最小为目标函数对FESS的PI控制器参数进行优化,并以FESS接入四机系统为例,通过非线性仿真验证了优化结果的有效性,并通过与其他优化方法比较,得出IPSO具有更好的优化性能的结论。

An improved PSO（IPSO） algorithm is proposed to optimize the parameters of the FESS PI controller.IPSO algorithm overcomes the traditional PSO algorithm defects such as low efficiency,falling into local minimum easily and premature,through chaotic initialization,iteration by adding chaos disturbance and adaptive inertia weight factor.Based on IPSO algorithm,the optimization of PI controller parameters of the FESS is finished when the minimum ITAE index is achieved.And the non-linear simulation results test and verify the effectiveness of optimization by a four-machine system installed with FESS.Finally,the conclusion is drawn that the IPSO is better than others by comparing with CPSO and APSO.