Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame
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Date
2016
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IEEE Computer Society
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Abstract
A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink cosimulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method. © 2016 IEEE.
Description
IEEE Industrial Electronics Society (IES); Institute of Electrical and Electronics Engineers (IEEE)
Keywords
Condition monitoring, Electro-hydraulic power steering sytem (EHPS), Fault diagnosis, Fault tolerant, Model reference adaptive system (MRAS), Parameter estimation, PMSM, Rotor flux estimation, Stator resistance estimation, Temperature estimation
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2
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Source
IECON Proceedings (Industrial Electronics Conference) -- 42nd Conference of the Industrial Electronics Society, IECON 2016 -- 24 October 2016 through 27 October 2016 -- Florence -- 125546
Volume
Issue
Start Page
1808
End Page
1814