Abstract
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 costs too much to be used 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 Kalman filter and 2 degree-of-freedom vehicle dynamic models to realize the estimation of way rate of linear minimize mean square error. Results of simulation and experiment show an accurate and low-cost estimation of yaw rate is achieved and soft sensor estimation method is feasible in measurement of vehicle state.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
