DocumentCode
497398
Title
Study on Assist Coefficient and Disturbance Resistance for EPS
Author
Wei, Jianwei ; Wei, Minxiang
Author_Institution
Coll. of Energy & Power Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume
2
fYear
2009
fDate
11-12 April 2009
Firstpage
132
Lastpage
135
Abstract
In this study, a nonlinear electric power steering (EPS) system dynamic model based on road disturbance and torque sensor noise is investigated. In this paper, a new method of determining assist coefficient is proposed to obtain good driverpsilas feel, which is only relative to vehicle velocity. Evaluation indexes and an augmented system combined with the state space model of EPS are obtained. Hinfin control theory is introduced to minimize road disturbance and sensor noise, and linear matrix inequalities (LMIs) method is employed to design an optimal Hinfin dynamic output feedback controller. Simulation results show that the controller has good robustness and can reduce the influence of disturbance. So it can maintain good driverpsilas feel and the systempsilas stability.
Keywords
Hinfin control; control system synthesis; electric vehicles; feedback; linear matrix inequalities; nonlinear dynamical systems; optimal control; road vehicles; robust control; sensors; stability; steering systems; torque; vehicle dynamics; assist coefficient; linear matrix inequalities method; nonlinear dynamic model; nonlinear electric power steering system; optimal Hinfin dynamic output feedback controller design; road disturbance; robustness; stability; state space model; torque sensor noise; vehicle velocity; Control theory; Electric resistance; Nonlinear dynamical systems; Power system modeling; Roads; Sensor systems; State-space methods; Torque; Vehicle driving; Vehicle dynamics; Assist Coefficient; EPS; LMIs; Optimal H? Dynamic Output Feedback Controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.396
Filename
5203394
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