Optimized Design of PID Controller Based on Particle Swarm Optimization

This project presents an optimized design of Proportional-Integral-Derivative (PID) controller using Particle Swarm Optimization (PSO) algorithm within the Simulink environment. The system comprises three main components: PID_Model serves as the control system plant model where the PID controller dynamics are implemented using Simulink blocks like Transfer Functions and Summation elements. The PSO module encapsulates the swarm optimization algorithm, typically implemented through MATLAB Function blocks or S-functions, containing particle position updates, velocity calculations, and fitness evaluation using objective functions like ISE or IAE. The PSO_PID component implements the optimization process where PID parameters (Kp, Ki, Kd) are dynamically adjusted through PSO iterations, utilizing techniques like inertia weight adjustment and neighborhood topologies to minimize control performance criteria. The optimization design achieves superior control performance by systematically tuning PID parameters through the PSO algorithm's global search capabilities, enhancing system response characteristics including rise time, settling time, and overshoot reduction.