Adaptive Particle Swarm Algorithm for Parameters Tuning of Fractional Order PID Controller
Abstract: In order to optimize
the parameters of fractional order PID controller of complex system, an adaptive
particle swarm optimization (PSO) method is proposed to realize the parameters
adjustment. In this algorithm, the tuning particle population is divided into
three subgroups firstly, and through introducing the swarm-aggregation degree
factor and the evolution speed factor of particle, dynamically adjusting the inertia
weight and size of subgroups respectively, setting to find optimal objective
according to the time-domain performance index of the system, and then the
controller parameter tuning is realized by iterative calculation. Finally,
adaptive particle swarm optimization method of fractional order PID controller
is applied to integer order and fractional order of the controlled system for
performance simulation in time domain analysis. The experimental results show
that the proposed method could improve the performance of the control system
and has strong anti-interference ability.
Keywords: Fractional order PID
controller, Adaptive particle swarm optimization, Parameter tuning, Self-adjusting
Author: Chao-bo Chen
Journal Code: jptkomputergg160182
