This study developed a hybrid self-organizing fuzzy and radial basis-function neural-network controller (HSFRBNC) for active suspension systems. The HSFRBNC uses a radial basis function neural-network to adjust the learning rate and the weighting distribution of a self-organizing fuzzy controller (SOFC) in real time, as an alternative to obtain these parameters through trial and error. Therefor...

A fully active suspension and preview control is utilized to improve ride comfort, which allows increased travelling speed over rough terrain. Previous research is extended and the relevant implementation issues are addressed. Specifically, the methodology of model predictive control has been applied to explicitly address suspension saturation constraints, suspension rate limits, and other syst...

A novel adaptive fuzzy logic controller (AFC) based on interval type-2 fuzzy is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from Least Means Squares optimal algorithm (LMS) is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMFs). The IMFs are utilized in the AFC design to deal with not only non-line...

The superconducting magnetically levitated transport (Maglev) system is conceptualized as a next-generation high-speed transportation system. For practical use, it is important to achieve adequate ride comfort particularly in high-speed running. Maglev vehicles are composed of lightweight car bodies and relatively heavy bogies which are mounted with devices such as superconducting magnets (SCMs...

ARTICLE INFO An agricultural tractor seat with passive suspension system gives a number of advantages when compared with currently available seat designs. Analysis on the vibration of tractor seat suspension system by using the different types of the suspension system is carried out for the different types of operation and analyze the suspension system separately to find out the reduction in th...