Abstract
The main objective of this paper is to design an efficient active suspension control system for the full car model. The conventional passive suspension and semi-active suspension systems do not provide good vehicle's handling against the road disturbances and ride comfort. To tackle this problem, Wavelets based Recurrent Adaptive NeuroFuzzy (WRANF) control approach is used for active suspension control. The WRANF control is flexible, has robustness abilities and good generalization properties against the dynamic systems. The performance of the active suspension system is determined by the displacement and acceleration of heave, pitch, roll and seat of the vehicle. To validate the effectiveness of the proposed control scheme, the full car model is simulated in MATLAB/Simulink and subjected to a varying road profile. The performance of the WRANF based active suspension system is compared with passive and semi-active suspension system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
