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International Journal of Automotive Technology > Volume 16(3); 2015 > Article
International Journal of Automotive Technology 2015;16(3): 427-433.
doi: https://doi.org/10.1007/s12239-015-0044-z
K. W. KIM1, S. B. LEE2, C. S. PARK2, K. YI1
1Seoul National University
2Hyundai MOBIS
This paper presents a lateral disturbance estimator based on Motor Driven Power Steering (MDPS)-based driving assistant system considering parameter uncertainties. A vehicle motion can be laterally deviated by lateral disturbance including wind force and load from bank angle. MDPS systems using motors to assist steering torque have become commonin production vehicles. The motor-assisted torque can be controlled by the motor overlay torque within a physically feasiblerange. To determine MDPS motor overlay torque for compensating lateral disturbance, the information of lateral disturbanceis necessary and estimated data was used due to measurement difficulties. The proposed estimator includes a tire self-aligningtorque estimator based on Kalman filter with a 2-degree-of freedom (2-DOF) bicycle model. A simulation study was conducted to analyze the influence of parameter variation and to investigate the appropriate parameters under various load conditions. The performance of the proposed estimator considering the vehicle parameter uncertainties has been evaluated for several levels of the lateral disturbances. The estimation algorithm has been evaluated via closed-loop simulation and test data.
Key Words: Lateral disturbance, Crosswind, Bank angle, Kalman filter, MDPS, Estimation, Parameter uncertainty
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