Biogeography-Based Optimization Of PID Tuning Parameters For The Vibration Control Of Active Suspension System

Abstract

This paper compares the Biogeography-Based Optimization (BBO) and Particle Swam Optimization (PSO) algorithms for the tuning of Proportional Integral Derivative (PID) controller parameters and concludes BBO works well compared to other in reducing the body acceleration of Vehicle Active Suspension System (VASS). Biogeography a mushrooming nature enthused global optimization procedure, which is based on the study of the geographical distribution of biological organisms and a swarm intelligence technique are used to find the optimal parameters of the PID controller to improve the performance of VASS. Simulations of passive system, active system with PID controller with and without optimization are performed with dual bump, sinusoidal and random kind of road disturbances using MATLAB/SIMULINK. The simulation results indicate the improvement of results with the BBO algorithm.