Hydraulic mechanical continuously variable transmission (HMCVT) is a system combining and hydraulic power flow. The matching design of the source contribute to energy-saving emission reduction vehicles, meet requirements modern society for environmental protection energy-saving. This paper takes pickup truck as research object ratio control strategy self-designed new HMCVT with goal minimizing ...

In order to improve the stability of vehicle steering on low-adhesion road surfaces, this paper designed a hybrid robust control strategy, H2/H∞, for active front-wheel (AFS) based theory. Firstly, we analyzed influence sidewall stiffness and adhesion coefficient tires stability, through which can study wheel deflection characteristics roads. Secondly, reference yaw velocity was calculated usin...

In order to improve the safety and longitudinal stability of a vehicle equipped with standard ABS system, this paper, analyzes the basic principles of vehicles stability and proposes a control strategy based on fuzzy adaptive control which will adjust PID gain parameters, using genetic algorithm. A linear three-degree-of-freedom (DOF) vehicle model was set up in Simulink and the stability test ...

It is a difficult and important project to coordinate active front steering (AFS) and direct yaw moment control (DYC), which has great potential to improve vehicle dynamic stability. Moreover, the balance between driver’s operation and advanced technologies’ intervention is a critical problem. This paper proposes a human-machine-cooperative-driving controller (HMCDC) with a hierarchical structu...

The paper presents a fault tolerant control (FTC) strategy for maintaining the lateral stability of a 4WS4WD autonomous vehicle in presence of an unknown component fault. It is designed using the flatness theory and the backstepping technique, and consists in actively controlling the vehicle’s rearwheel steering system. In a normal situation, only the front-wheel steering actuator is used since...

To combat the impacts of uncertain noise on estimation vehicle state parameters and high cost sensors, a state-observer design with an adaptive unscented Kalman filter (AUKF) is developed. The equation observer derived by establishing vehicle’s three degrees-of-freedom (DOF) model. On this basis, Sage–Husa algorithm (UKF) are combined to form AUKF adaptively update statistical feature measureme...

The vehicle longitudinal control algorithm is the core function of adaptive cruise system, whose main task to convert acceleration and deceleration requirements into driving braking commands so that can quickly accurately track desired acceleration. Traditional algorithms rely on accurate dynamic modeling or complex controller parameter calibrations. To overcome those difficulties, a based RBF-...

Abstract The cooperation between an autonomous vehicle and a nearby is critical to ensure driving safety in the lane-exchanging scenario. trajectory needs be predicted, from which controlled prevent possible collisions. This paper proposes strategy for cooperate with by integrating prediction motion control. A method developed anticipate trajectory. Gaussian mixture model (GMM), together kinema...

Aiming at the problem that it is difficult to ensure trajectory tracking accuracy and driving stability of driverless racing car under extreme conditions high-speed turning with different road adhesion coefficients, a control strategy proposed. Firstly, coefficient estimated using extended Kalman filter algorithm. Draw phase plane diagram vehicle’s centroid sideslip angle-centroid angular veloc...

In a cut-in scenario, traditional adaptive cruise control usually cannot effectively identify the vehicle and respond to it in advance. This paper proposes an (ACC) strategy based on MPC algorithm for scenarios. A finite state machine (FSM) is designed manage different For method quantify possibility of proposed. At same time, safety distance model established as basis transition machine. Takin...