Optimal tuning rules for PI/PID controllers for inverse response processes

摘要

In this work, optimal tuning rules for PI/PID controllers for stable and integrating first-order inverse response processes are reported. Integral performance criteria (ISTE, IST2E and IST3E) have been minimized using Particle Swarm Optimization (PSO), an evolutionary optimization technique, to get optimal controller parameters. For integrating process model, set-point filter is used for reducing large overshoot. For nominal conditions, simulation results show significant improvement in both servo and regulatory performances. The optimal controllers also give good robust control performances during model-mismatch conditions.