Improved Particle Swarm Optimization approach of PID controller design for machine tool positioning

This paper presents the application of an Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of a PID controller. Two system plants with heavily oscillatory and moderate oscillatory associated with time delay are simulated numerically. A cycloid signal for mimicking the real industrial motion profile is applied. PID control parameters tuned by IPSO and MATLAB toolbox are compared for step, trapezoid, and cycloid responses. Simulation results show the IPSO technique is very useful for parameters tuning and robust for plant control evaluated by integral absolute error between the positioning trajectory and the output response.