The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
An 8-dof vehicle nonlinear dynamic model was established with the linear 2-dof vehicle handling characteristics model as the target control. The vehicle stability control system yaw and yaw rate combined fuzzy control simulation model was established based on automobile yaw moment and vehicle state deviation between the dynamic relationship. Through the hook simulation test, which shows that the active...
Research was conducted on vehicle stability control algorithm for four wheel drive (4WD) mini electric vehicle (EV) basing on vehicle dynamics model. The whole vehicle model with eight degrees of freedom was constructed using graphics modeling technology and S-function in MATLAB/Simulink, which includes 4 wheel rotation speeds, front wheel steering angle, vehicle lateral speed, longitudinal motion,...
In order to solve the problem of excessive understeer of four-wheel -steering vehicle with zero mass-center side-slip angle and proportional control at high speed, using fuzzy logical control method, adding direct yaw moment control of four wheel steering to solve this question. a two DOF four-wheel-steering vehicle model with integrated control of steering angle and yaw moment was established. The...
According to the nonlinear and parameter time-varying characteristics of vehicle stability control, an adaptive fuzzy sliding control algorithm is proposed in terms of fuzzy control principle and the approximation capability of fuzzy systems. The fuzzy sliding controller is designed based on fuzzy logic and sliding control. The switching function of sliding surface is fuzzied by the Membership function...
Direct yaw-moment control (DYC) can enhance the vehicle lateral stability significantly. Studying its control methods is a hot spot of vehicle dynamics. Based on the in-depth study of the vehicular handling dynamics and the advanced control theory, the PID, fuzzy and intelligent integral fuzzy-PID controllers for DYC system are designed and simulated with the vehicle model. The fuzzy control theory...
A new yaw moment control algorithm with differential braking control is presented in this paper. The proposed controller utilizes the anti-lock braking system (ABS) to apply differential braking between the right and left wheels to generate the yaw moment. A fuzzy logic based ABS controller is also designed. As the vehicle side-slip angle can not be measured under reasonable cost, a nonlinear observer...
A yaw moment control based on fuzzy logic is proposed to deal with high nonlinearity in vehicle dynamic systems. The developed controller generates the suitable additional yaw moment which is obtained from the differential longitudinal braking forces in driving wheels so that the vehicle follows the target values of the yaw rate and the sideslip angle. A two-degree-of-freedom vehicle dynamic is derived...
This paper investigates integrated vehicle dynamics control through coordinating active suspension system (ASS) and electronic stability program (ESP) in order to improve the overall vehicle performance including handling, stability, and comfort. A two-layer hierarchical control architecture is proposed to integrated control of the two chassis control systems. The upper layer controller is designed...
In order to improve the lateral stability of the vehicles at a high speed, a parameter self-tuning fuzzy PID Control method to control the yaw moment couple with side slip angle of the front wheel is proposed, and a Fuzzy PID controller is designed. Based on Vehicle dynamic model analysis, and by using MATLAB / Simulink software, vehiclepsilas yaw rate and the side slip angle of the front at the step...
A nonlinear control system that integrated active front steering system and vehicle dynamics control system based on a multi-body vehicle dynamic model is introduced in this paper. The multibody vehicle dynamic model based on ADAMS can accurately predict the dynamics performance of the vehicle. The control strategy consists of two control objectives (yaw velocity omega and sideslip angle beta). An...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.