Abstract
The differential steering system (DSS) of electric wheel vehicle gets rid of the restrictions of traditional steering system completely. As an ideal steering technology, it not only realizes the perfect combination of the road feel and the steering portability, but also realizes the harmony and unification between the steering maneuverability and safety. The structure and basic theory of the DSS of electric wheel vehicle are discussed in this paper. Based on these, the dynamic model of the steering system is built. Considering of the uncertainties and disturbances existing in the model, the H∞ mixed sensitivity control theory is applied to achieve better tracking performance and road feel in the process of steering. Then, a H∞ mixed sensitivity controller is designed to restrain the effect of the road disturbance and model uncertainties. The simulation results indicate that the DSS with the designed controller can effectively restrain the effect of noises and disturbances caused by random motivation from road, torque sensor measurement and model parameter uncertainty, and enable the driver to obtain satisfactory road feel.
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References
Ahn, C., Kim, B. and Lee, M. (2012). Modeling and control of an anti-lock brake and steering system for cooperative control on split-mu surfaces. Int. J. Automotive Technology 13,4, 571–581.
Bai, P., Li, B. H. and Cao, G. J. (2009). Research and prospect of pure electronic vehicles. Auto Engineer, 8, 18–20.
Chen, Y. and Zhong, K. L. (2009). Simulation analysis of vertical and lateral dynamics of an electric vehicle driven by two rear hub-motors. 2009 ICMA 2009 Int. Conf. Proc. Mechatronics and Automation.
Ge, M., Chiu, M. S. and Wang, Q. G. (2002). Robust PID controller design via LMI approach. Process Control, 12, 3–13.
Jin, L. Q., Wang, J. N., Song, C. X. and Hu, C. J. (2010). Power steering by driving force for vehicle with motorized wheels. J. Mechanical Engineering 46,14, 101–108.
Jin, L. Q., Wang, Q. N., Zhou, X. H. and Song, C X. (2008). Control strategy and simulation for electronic differential of vehicle with motorized wheels. J. Jilin University (Engineering and Technology edn), S1, 1–6.
Jin, L. Q., Wang, Q. N., Zhang, H. H. and Wang, J. N. (2007). A study on differential technology of in-wheel motor drive EV. Automotive Engineering, 8, 700–704.
Kim, J. H. and Song, J. B. (2002). Control logic for an electric power steering system using assist motor. Mechatronics 12,3, 447–459.
Manu, P. and John, Y. H. (2004). A sensorless optimal control system for an automotive electric power assist steering system. IEEE Trans. Electronics 51,2, 290–298.
Peng, S. L. and Yan, Y. B. (2010). Steady-state model research of nine degrees of freedom for electric vehicle with motorized wheels. Proc. 2nd Int. Conf. Energy and Environment Technology.
Shen, R. W., Lin, Y., Tai, X. H. and Shi, G. B. (2007). Research on modeling and compensation control strategy of electric power steering system. Trans. Chinese Society for Agricultural Machinery 38,7, 5–9.
Wang, C. Y., Zhao, W. Z. and Yu, L. Y. (2011). H∞ control for electric power steering road feel based on frequency shaping. J. Jilin University (Engineering and Technology edn) 41,6, 1532–1536.
Wang, C. Y., Zhao, W. Z., Zhao, T. and Zhou, X. (2012). Road feel optimization of differential steering of electric vehicle with motorized wheels. China Mechanical Engineering, 1, 122–125.
Wang, Q. N., Wang, J. N., Jin, L. Q., Hu, C. J. and Zhang, X. Z. (2009). Differential assisted steering applied on electric vehicle with electric motored wheels. J. Jilin University (Engineering and Technology Edition), 1, 1–6.
Wu, D. H. and Ji, Z. C. (2009). H-∞ robust control for wind power generator based on mixed sensitivity. J. Nanjing University of Aeronautics & Astronautics 41,6, 805–809.
Xu, X. H., Zhao, W. Z., Wang, C. Y. and Chen, W. (2012). Parameters optimization of differential assisted steering for electric vehicle with motorized wheels based on NLPQL algorithm. J. Central South University (Science and Technology), 9, 3431–3436.
Zhao, H., Jiang, H. Z., Han, J. W. and Zeng, X. R. (2002). Application of H-∞ mixed sensitivity control in hydraulic servo system. China Mechanical Engineering 13,2, 195–197.
Zhao, X., Shi, X., Chen, J. and Li, X. (2011). Dynamic correction of the steering-characteristic curve and application to an EPS control system. Int. J. Automotive Technology 12,2, 243–249.
Zhao, Y. E. and Zhang, J. W. (2008). Study on electronic differential control system of independent in-wheel motor drive electric vehicle. J. System Simulation, 18, 4767–4771.
Zhao, Z. G., Yu, Z. P. and Sun, Z. C. (2005). A study on H∞ robust control for vehicle active front wheel steering system. Automotive Engineering 27,4, 442–451.
Zhao, Z. G., Yu, Z. P., Sun, Z. C. and Chen, H. (2005). A research on H_∞ robust control strategy for electric power steering system. Automotive Engineering 27,6, 730–735.
Zhou, Y., Li, S. J., Tian, H. B., Fang, Z. D. and Zhou, Q. X. (2007). Control method of electronic differential of EV with four in-wheel motors. Electric Machines and Control, 5, 467–471.
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Zhao, W.Z., Li, Y.J., Wang, C.Y. et al. Research on control strategy for differential steering system based on H mixed sensitivity. Int.J Automot. Technol. 14, 913–919 (2013). https://doi.org/10.1007/s12239-013-0100-5
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DOI: https://doi.org/10.1007/s12239-013-0100-5