Abstract
In this chapter, a backstepping controller is presented for a nonlinear active suspension system (ASS) of a quarter car model. The quarter car is a highly uncertain system as the number of occupants may vary. The ride comfort of the passengers can be improved by minimizing the root mean square of the vertical acceleration (RMSVA) of the sprung mass while maintaining hard constraints such as tracking force, road holding, and suspension movement at the same time. The performance of ASS with backstepping controller is compared with the ASS with Fuzzy PD (FPD) and conventional PD controllers wherein FPD controller was realized using seven full terms overlapped triangular membership function for inputs and output variables. The scaling factors of all the three controllers were tuned by Grey Wolf Optimization algorithm for a single bump road surface. In addition to this, the performance of all the three controllers are also evaluated for uncertainty in sprung mass and bump height and also for multiple bumps road profiles. Simulation studies clearly revealed that backstepping controller out-performed FPD and conventional PD controllers and presented far superior comfort ride while maintaining all the hard constraints within prescribed.
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 callMore From: Backstepping Control of Nonlinear Dynamical Systems
Disclaimer: 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.
