Soft Sensor Application in Vehicle Yaw Rate Measurement Based on KALMAN Filter and Vehicle Dynamics
نویسنده
چکیده
AbshocT-The accurate measurement of vehicle yaw rate is vital for vehicle dynamics control, such as yaw control and traction control. Generally vehicle yaw rate is measured by gyro that will cost too much to he wed commercially as an on-vehicle sensor. Based on soft sensor technique in inferential control theory, a novel method for the estimation of vehicle yaw rate is proposed, The estimation is based on Kalmau filter and 2 degree-of-freedom vehicle dynamic model lo rcalim the estimation of yaw rate of linear minimize mean square error. Results of simulation and crperiment show an accurate and low-cost estimation of yaw rate is achieved and soft sensor estimation method is feasible in measuremmt of vehicle state.
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