A road adhesion coefficient-tire cornering stiffness normalization method combining a fractional-order multi-variable gray model with a LSTM network and vehicle direct yaw-moment robust control

A normalization method of road adhesion coefficient and tire cornering stiffness is proposed to provide the significant information for vehicle direct yaw-moment control (DYC) system design. This carried out based on a fractional-order multi-variable gray model (FOMVGM) long short-term memory (LSTM) network. FOMVGM used generate training data testing LSTM network, network employed predict with coefficient. In addition that, represented by can be built lateral dynamic participate in DYC robust controller Simulations under different driving cycles are demonstrate feasibility effectiveness system, respectively.