Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller

The purpose of designing the active suspension systems is providing comfort riding and good handlingin different road disturbances. In this paper, a novel control method based on adaptive neuro fuzzysystem in active suspension system is proposed. Choosing the proper database to train the ANFIS hasan important role in increasing the suspension system’s performance. The databaseused to train theproposed ANFIS system is extracted from the outputs of fuzzy, LQR and sliding mode controllers. Aquarter-car model is considered to study the performance of the proposed controller. Performance ofthis controller is compared with the passive system, and active suspension systems with fuzzy andLQR controllers. The results demonstrate that proposed ANFIS controller is better than passivesuspension system and active fuzzy and LQR based suspension systems in suspension deflection, bodyacceleration, settling time and also control force.