Title :
Neuro-fuzzy wavelets based network for full car active suspension system
Author :
Khan, Laiq ; Qamar, Shahid ; Khan, M. Umair
Author_Institution :
Dept. of Electr. Eng., COMSATS Inst. of Inf. Technol., Pakistan
Abstract :
In this paper, a nonlinear adaptive neuro-fuzzy wavelets network (NFWN) control strategy is designed for the control of full car suspension system. Conventional passive suspension system has not the ability to provide better vehicle stability and ride quality against the road disturbances. To avoid damaging from vehicle components, passenger discomfort and vehicle instability, an active suspension system based on NFWN is used. The active NFWN controller is capable of providing better ride quality and vehicle stability, because, it is highly nonlinear control strategy and has ability to overcome the oscillations produced due to road disturbances. Simulation is based on the mathematical model by using MATLAB/SIMULINK. Simulation results of NFWN control strategy give better tradeoff between ride quality and vehicle stability than passive and semi-active suspension systems.
Keywords :
adaptive control; automobiles; control system synthesis; ergonomics; fuzzy control; mechanical stability; neurocontrollers; nonlinear control systems; suspensions (mechanical components); vehicle dynamics; wavelet transforms; MATLAB/SIMULINK; NFWN control strategy; active NFWN controller; active suspension system; full car suspension system control; mathematical model; nonlinear adaptive neuro-fuzzy wavelet network control strategy; oscillations; passenger discomfort; ride quality; road disturbances; vehicle components; vehicle instability; vehicle stability; Fuzzy logic; Neural networks; Roads; Stability analysis; Suspensions; Tires; Vehicles; Car Suspension; Fuzzy Logic; Neural Network; Wavelets;
Conference_Titel :
Emerging Technologies (ICET), 2012 International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-4452-4
DOI :
10.1109/ICET.2012.6375430
