International Journal of Automation, Control and Intelligent Systems
Articles Information
International Journal of Automation, Control and Intelligent Systems, Vol.1, No.3, Sep. 2015, Pub. Date: Aug. 3, 2015
Application of Adaptive Neuro-Fuzzy Regulators in the Controlled System by the Vehicle Suspension
Pages: 66-72 Views: 1487 Downloads: 449
Authors
[01] Vladyslav Shuliakov, Department of Information Technology and Mechatronics, Kharkov National Automobile and Highway University, Kharkiv, Ukraine.
[02] Oleg Nikonov, Department of Information Technology and Mechatronics, Kharkov National Automobile and Highway University, Kharkiv, Ukraine.
[03] Valentina Fastovec, Department of Information Technology and Mechatronics, Kharkov National Automobile and Highway University, Kharkiv, Ukraine.
Abstract
The operation of adaptive neuro-fuzzy vehicle regulator created on the basis of the subtractive clustering method has been studied in the paper. The efficiency of control system functioning of the adaptive vehicle suspension using neuro-fuzzy regulators under ordinary and complicated conditions of operation has been considered. Two neuro-fuzzy regulators have been synthesized. The application of neuro-fuzzy adaptive regulator is possible in the design of electronic control system by sets, mechanisms, and units of vehicles, electromobiles, and hybrid vehicles. It can provide the development of new methods of diagnostics and prediction of the technical state of transport facilities providing high efficiency of their application and operation reliability.
Keywords
Neural Network, Fuzzy Logic, Control System, Adaptive Suspension, Efficiency, Car
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