Analyzing and Optimizing PI Controller Methods for Two Tank System: A Laboratory-Based Study

Abstract

This research paper presents a comprehensive investigation into the design, analysis, and optimization of Proportional-Integral (PI) controller methods for interacting systems, conducted through laboratory experimentation. The study aims to enhance the performance and stability of PI controllers by exploring various tuning methods and strategies tailored to address the intricacies of interacting systems. Through a series of experimental setups in the laboratory environment, different PI controller tuning techniques are systematically evaluated, including modern optimization algorithms such as Genetic Algorithms, Particle Swarm Optimization and Ant Colony Optimization. The effectiveness of each tuning approach is assessed based on key performance metrics, including settling time, overshoot and steady-state error. Furthermore, the study investigates the robustness of the optimized PI controllers against parameter variations and disturbances commonly encountered in real-world systems. Comparative analysis and statistical evaluation are employed to identify the most suitable tuning method for achieving robust and reliable control performance in interacting system.