关键词: 传递函数, 辨识, Prony算法, 微粒群算法, 基于T-S模型的PSO算法（T-SPSO）, 比例-积分-微分（PID）控制

Abstract: In order to solve the transfer function modelling and controller parameter optimization of control systems，a novel design scheme is presented based on prony and particle swarm optimization（PSO） method.In this scheme，an impulse signal is applied to the input of controlled member firstly，and then output signal is estimated by prony analysis to get the transfer function.Finally，controller parameter is optimized by the improved PSO algorithm.The transfer function of controlled member can be obtained by prony algorithm rapidly and accurately；Fuzzy adaptive PSO algorithm based on T-S model（T-SPSO），which effectively solve the premature problem of PSO by adaptively updating the inertia weight according to the best current fitness and inertia weight，can perfectly optimize controller parameter.The presented scheme solves the accurate modeling and optimum design problem of control systems effectively，and simulation results verify the validity of the developed method.

Key words: transfer function, idemtification, Prony algorithm, particle swarm optimization, PSO algorithm based on T-S model（T-SPSO）, Proportion-Integral-Derivative（PID） control