Results 31 to 40 of about 1,208 (131)
NFTSM control of direct yaw moment for autonomous electric vehicles with consideration of tire nonlinear mechanical properties [PDF]
To improve the curve driving stability and safety under critical maneuvers for four-wheel-independent drive autonomous electric vehicles, a three-stage direct yaw moment control (DYC) strategy design procedure is proposed in this work.
Xiaoqiang Sun +4 more
doaj +1 more source
A broad literature deals with torque-vectoring (TV) algorithms based on direct yaw moment control (DYC), which continuously generate longitudinal tire forces that are different on the left and right vehicle sides.
Carmine Caponio +9 more
doaj +2 more sources
Review of Direct Yaw Moment Control System for Automobile
Direct yaw moment control (DYC) system is used to effectively prevent the vehicle from moving sideways in the event of unexpected dangers in order to ensure stability and safety of automobile driving.
LIAN Yufeng +4 more
doaj +3 more sources
Active suspension control and direct yaw-moment control (DYC) are widely used in the vehicle control field. To solve the coupling between those two controllers, a coordinated control of active suspension and DYC is proposed to further improve the vehicle
Jianjun Hu +4 more
doaj +1 more source
Coordination Control of Active Steering and Direct Yaw Control for the Articulated Steering Vehicle
Lateral stability is vital to vehicle handling stability and traffic safety. It is also a crucial factor for the path‐tracking ability of the vehicle in the intelligent transportation system (ITS). Most of the research focuses on vehicles with an Ackerman steering system. The ASV (articulated steering vehicle) has a lower steering radius.
Bin Huang +5 more
wiley +1 more source
Deep reinforcement learning based active safety control for distributed drive electric vehicles
Abstract Distributed drive electric vehicles are regarded as the promising transportation due to the advanced power flow architecture. Optimizing the yaw motion to enhance vehicle safety is a challenging job. Besides, the nonlinear features in vehicles affect the control accuracy of the yaw motion controllers. To this end, a deep reinforcement learning
Hongqian Wei +4 more
wiley +1 more source
Abstract Handling stability control can improve the safety of four in‐wheel motor independent‐drive electric vehicle (4MIDEV). An adaptive motion state control strategy based on improved sliding mode control for 4MIDEV is proposed to improve the steering stability control of the vehicle under different adhesion conditions.
Li Zhai +5 more
wiley +1 more source
This paper deals with adaptive nonlinear identification and trajectory tracking problem for model free nonlinear systems via parametric neural network (PNN). Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics, where a parameter error driven updating law is synthesized to ensure good identification performance in
Zhijun Fu +6 more
wiley +1 more source
This paper presents a mixed H2/H∞‐based robust guaranteed cost control system design of an active suspension system for in‐wheel‐independent‐drive electric vehicles considering suspension performance requirements and parameter variation. In the active suspension system model, parameter uncertainties of active suspension are described by the bounded ...
Xianjian Jin +3 more
wiley +1 more source
Simulation and Compensation of Axial Geometric Errors for Cycloidal Gears Based on Form Grinding
To increase quality, reduce cycloidal gear noise, and avoid unnecessary vibration and shock, a compensation of axial geometric errors method is proposed based on the cycloidal gear form grinding. In the process of machining cycloidal gears, the relative position relationship between the grinding wheel and workpiece is affected by geometric errors of ...
Chuang Jiang +4 more
wiley +1 more source

