CONTROLLER DESIGN FOR MAGNETIC LEVITATION SYSTEM USING BACTERIA FORAGING ALGORITHM TECHNIQUE

Abstract

This paper presents the use of Bacteria Foraging Optimization Algorithm (BFOA) to tune Proportional, Integral and Derivative (PID) controller parameters for real time control of Feedback 33-210 Magnetic Levitation System (MLS). The system is hardware
in the loop training kit based on MATLAB which gives leverage for controller modification or adaptability. It consists of inbuilt
PID and PD controllers. The inbuilt system PID gains were tuned for optimal performance of the real-time system in regulating
the ball position and tracking a reference input. Real-time system gave the percentage error of 11.8% and 33.6% for the optimal
and inbuilt PID controllers respectively. Similarly, real-time system results gave the percentage error of 81.4% and 128.7% for optimal and inbuilt PD controllers respectively. Simulation results gave the percentage error of 0.65% and 23.7% for the optimal
and inbuilt PID controllers respectively. Its PD controller counterpart presents the percentage error of 18.4% and 336.6% for
optimal and inbuilt simulations scenarios respectively