Design and analysis of novel bio inspired BELBIC and PSOBELBIC controlled semi active suspension

Abstract

Passenger comfort, quality of ride and handling brings a lot of attention and concern of the automotive design engineers. Researchers are working and have introduced approaches like artificial neural network, genetic algorithm, fuzzy and hybrid control techniques have been proposed, modelled and analysed to check their impact on the above mentioned parameters. A new controller based on learning mode of human brain known as brain emotional learning based intelligent controller (BELBIC) and particle swarm optimised brain emotional learning based intelligent controller (PSOBELBIC) optimised by particle swarm optimisation (PSO) is introduced here. Six degrees of freedom (DOF) mathematical model of quarter car along with passenger and four degree of freedom half car is modelled and simulated. The PSOBELBIC gives the best performance with overall improvement of about 26% and 32.54% for speed bumps and 52.79%, 34.58% against random road.