지능형 퓨전센서와 차량모델을 이용한 거동추정 알고리즘 개발

This paper describes development of an intelligent sensor measuring displacement between unsprung and sprung mass for intelligent suspension system. The new type sensor, so called vehicle height sensor(VHS), has a new mechanism which detects movement of the sensor rod same as connecting rod in the MR-CDC damper by using a GMR sensor and convert it to the relative displacement from an initial position. Lastly, this paper verifies a specification of sensor by CarSim model simulation. Vehicle steady-state cornering is a significant research area for vehicle handling. The accurate measurement of vehicle yaw rate is important for vehicle dynamics control. The fusion sensor is installed in MR-CDC Damper which is included in each wheel of the vehicle. The accelerations of each wheel of the vehicle are used to calculate the yaw rate at the COG of the vehicle. An estimation scheme is proposed to calculate the yaw rate of the vehicle. In this paper, a roll model is used to describe the vehicle dynamics and the yaw rate error caused by the body side slip angle is also discussed here.