New adaptive fuzzy sliding-mode control for uncertain non-linear systems
International Journal of Computer Applications in Technology
A new model-free adaptive sliding controller for active suspension system
International Journal of Systems Science
Self-tuning fuzzy sliding-mode control for time-delay chaotic systems
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Fuzzy control for nonlinear uncertain electrohydraulic active suspensions with input constraint
IEEE Transactions on Fuzzy Systems
Adaptive global sliding mode control strategy for the vehicle antilock braking systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
An LMI approach to slip ratio control of vehicle antilock braking systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Road-adaptive algorithm design of half-car active suspension system
Expert Systems with Applications: An International Journal
An interval fuzzy controller for vehicle active suspension systems
IEEE Transactions on Intelligent Transportation Systems
Intelligent robotic system with fuzzy learning controller and 3D stereo vision
Proceedings of the 15th WSEAS international conference on Systems
Design of an enhanced adaptive self-organizing fuzzy sliding-mode controller for robotic systems
Expert Systems with Applications: An International Journal
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Enhanced adaptive grey-prediction self-organizing fuzzy sliding-mode controller for robotic systems
Information Sciences: an International Journal
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Since the hydraulic actuating suspension system has nonlinear and time-varying behavior, it is difficult to establish an accurate model for designing a model-based controller. Here, an adaptive fuzzy sliding mode controller is proposed to suppress the sprung mass position oscillation due to road surface variation. This intelligent control strategy combines an adaptive rule with fuzzy and sliding mode control algorithms. It has online learning ability to deal with the system time-varying and nonlinear uncertainty behaviors, and adjust the control rules parameters. Only eleven fuzzy rules are required for this active suspension system and these fuzzy control rules can be established and modified continuously by online learning. The experimental results show that this intelligent control algorithm effectively suppresses the oscillation amplitude of the sprung mass with respect to various road surface disturbances.