PID Controller Based Adaptive PSO
Adel Taeib, Abdelkader Châari · International Review of Automatic Control (IREACO) · 2014
The adaptive particle swarm optimization based proportional-integral-derivative (APSO-PID) controller is proposed to control for Takagi-Sugeno (T-S) fuzzy modelling. The APSO algorithm is applied to automatically tune the gains of PID controller. In the proposed method, an inertia weight of PSO is adaptively adjusted based on the swarm condition. The personal and the global best position of particles is taken and used to calculate the inertia weight during the searching process by using feedback mechanism. The practicality and effectiveness of the identification and control scheme is demonstrated by simulation results involving simulations of a continuous stirred-tank reactor