Search Results

This paper describes a driving controller to improve vehicle lateral stability and maneuverability for a six wheel driving / six wheel steering (6WD/6WS) vehicle. The driving controller consists of upper and lower level controller. The upper level controller based on sliding control theory determines front, middle steering angle, additional net yaw moment and longitudinal net force according to reference velocity and steering of a manual driving, remote control and autonomous controller. The lower level controller takes desired longitudinal net force, yaw moment and tire force information as an input and determines additional front steering angle and distributed longitudinal tire force on each wheel. This controller is based on optimal distribution control and has considered the friction circle related to vertical tire force and friction coefficient acting on the road and tire.

It is significant to consider human factors for the design of the intelligent safety vehicle beyond the general vehicle's performance. Therefore, the development of an ergonomic driver model to imitate the human driving pattern is essential for the advanced vehicle research considering the human factors. In this paper, several tests for the study of the human factors are conducted, and the control logic to describe the human driving pattern is presented. First of all, human factors to influence a vehicle operation are assumed to be consisted of two major components, the preview distance and the human neuromuscular response. Secondly, the control logic is consisted of the finite preview optimal control algorithm to account for human factors mentioned previously. Finally, the ergonomic driver model is developed based on these and simulated with Carsim software in SIMULINK environment.

As an effective approach for the design, implementation and test of control systems, hardware-in-the-loop (HIL) test has been used in many research areas. This paper describes a real-time HIL simulation test for an automotive electronic control system. The HIL system proposed in this paper consists of three parts: real-time target hardware, electronic control unit (ECU) of the automotive electronic control systems and a signal-conditioning unit which regulates the voltage levels between real-time target and ECU. The HIL simulation evaluates mechanical and electronic behaviors in real time using off-line simulation models by interfacing real-target with electrical control units via interface box. The model has been developed by MATLAB/Simulink. The model is composed of mechanical part which predicts dynamic behaviors and electronic part to calculate the motor speeds, current and electronic loads under the various conditions.