Abstract
This paper investigates the vibration controller design problem for quarter-car active suspension systems. An active controller is proposed by combining fuzzy wavelet neural network (FWNN) and genetic algorithm (GA). Ride comfort and some hard constraints, i.e. road-holding capability as well as suspension stroke limitation, are all taken into account during the design process. The GA, which can be used to solve various optimization problems, is employed to perform optimization of connection weight parameters of the FWNN. Simulation results and analysis verify that the developed controller can significantly enhance the ride comfort while guarantee the hard constraints.
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.
