Design of a Predictive PID Controller Using Particle Swarm Optimization

The proportional-integral-derivative (PID) controller is widely used in various industrial applications such as process control, motor drives, magnetic and optical memory, automotive, flight control instrumentation. PID tuning refers to the generation of parameters ( K p , i d ) obtain optimum fitness value for any system. determination essential system that relies on it function a stable mode. This paper proposes method designing predictive using particle swarm optimization (PSO) algorithm direct current (DC) application. Extensive numerical simulations have been done Mathwork’s Matlab simulation environment. In order gain full benefits from PSO algorithm, inertia weight, iteration number, acceleration constant number need be carefully adjusted determined. Therefore, first investigation this study present comparative analysis between two important parameters; weight iteration, assist design. Simulation results show 0.9 100 provide good achievement with low overshoot fast rise settling time. Next, comparison performance DC PID-PSO, 1, without were also discussed. From analysis, can concluded by method, best may found. Finally, when comparing PID-PSO its counterpart, PI-PSO, gives better terms robustness, (0.005%), minimum time (0.2806 seconds) (0.4326 seconds).