Off-Line Tuning of Positioning Control System using Particle Swarm Optimization Considering Speed Controller

Abstract

This paper describes an optimal off-line tuning method for position controller in mechanical system using a new evolutionary algorithm called particle swarm optimization (PSO). Generally in the industry machinery, the autonomous performance to the position control system is getting more strongly demanded. In this paper, two approaches to the optimization are detailed. First, PSO is used in order to optimize the coefficient of a mathematical model as system identification. Second, the parameter of a controller will be directly optimized by evaluating a response using PSO. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good efficiency.