[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.

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.

Neural Network, Fuzzy Logic, Control System, Adaptive Suspension, Efficiency, Car

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