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Nonlinear Steering Wheel Angle Control Using Self-Aligning Torque with Torque and Angle Sensors for Electrical Power Steering of Lateral Control System in Autonomous Vehiclesopen access

Authors
Kim, WonheeKang, Chang MookSon, Young-SeopChung, Chung Choo
Issue Date
Dec-2018
Publisher
MDPI
Keywords
electric power steering; angle control; self-aligning torque; backstepping control; augmented observer
Citation
SENSORS, v.18, no.12, pp.1 - 14
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
18
Number
12
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/148864
DOI
10.3390/s18124384
ISSN
1424-8220
Abstract
The development of sensor technology enabled the use of composite sensors to measure the torque and angle of steering wheels at gradually decreasing costs while maintaining the required safety. The electric power steering (EPS) is vital to the safety of the car, therefore it is not worth sacrificing safety to save cost and the SWA control with angle sensor gradually becomes the mainstream. Existing methods to control steering wheel angle (SWA) for EPS consider the self-aligning torque as a disturbance that should be rejected. However, this torque is useful to return the SWA from an outward to the center position. Hence, we propose a nonlinear control of SWA using the self-aligning torque for EPS in the lateral control system of autonomous vehicles. The proposed method consists of a high-gain disturbance observer and a backstepping controller, where the former aims to estimate the self-aligning torque, and an auxiliary state variable prevents using the derivative of the measured signal. The nonlinear controller is designed via backstepping to bound the SWA tracking error. The self-aligning torque provides damping that can improve the controller tracking when following the same direction of the input torque on the steering wheel control. In this case, the control input can be reduced by the damping effect of the self-aligning torque. The performance of the proposed method is validated through EPS hardware-in-the-loop simulation.
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COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)
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