Hydraulic-pressure-following control of an electronic hydraulic brake system based on a fuzzy proportional and integral controller

Reference

• Baghban, A., Jalali, A., Shafiee, M., Ahmadi, M. H., & Chau, K. W. (2019). Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids. Engineering Applications of Computational Fluid Mechanics, 13(1), 26–39. https://doi.org/10.1080/19942060.2018.1542345
   Web of Science ®Google Scholar
• Castillo, J. J., Cabrera, J. A., Guerra, A. J., & Simón, A. (2016). A novel electrohydraulic brake system with tire–road friction estimation and continuous brake pressure control. IEEE Transactions on Industrial Electronics, 63(3), 1863–1875. https://doi.org/10.1109/TIE.2015.2494041
   Web of Science ®Google Scholar
• Chen, Q. P., Sun, H. Y., Wang, N., Niu, Z., & Wan, R. (2020). Sliding mode control of hydraulic pressure in electro-hydraulic brake system based on the linearization of higher-order model. Fluid Dynamics & Materials Processing, 16(3), 513–524. https://doi.org/10.32604/fdmp.2020.09375
   Web of Science ®Google Scholar
• Chen, Q., Wu, M., Kang, S., Liu, Y., & Wei, J. (2019). Study on cavitation phenomenon of twin-tube hydraulic shock absorber based on CFD. Engineering Applications of Computational Fluid Mechanics, 13(1), 1049–1062. https://doi.org/10.1080/19942060.2019.1666035
   Web of Science ®Google Scholar
• Kong, X., Wang, Y., & Jiang, S. (2010). Friction chatter-compensation based on stribeck model. Journal of Mechanical Engineering, 46(5), 68–73. https://doi.org/10.3901/JME.2010.05.068
   Google Scholar
• Leng, J. W., Pan, P., Xu, Z. K., Wang, T., & Jin, L. (2019, August 11–14). Design of low speed controller for traveling wave ultrasonic motor. 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China (pp. 1–5). IEEE. https://doi.org/10.1109/ICEMS.2019.8921667
   Google Scholar
• Li, X., Chang, S., & Gong, X. (2015, December 19–20). Modeling of a new brake by wire system based on the direct-drive electro-hydraulic brake unit. 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China (pp. 211–215). https://doi.org/10.1109/IAEAC.2015.7428549
   Google Scholar
• Liu, T., Yu, Z., Xiong, L., Han, W., & Wang, J. (2017). Anti-lock braking control for integrated electronic hydraulic braking system. Automotive Engineering, 39(7), 767–774. https://doi.org/10.19562/j.chinasae.qcgc.2017.07.007
   Google Scholar
• Oshima, T., Fujiki, N., Nakao, S., Kimura, T., Ohtani, Y., & Ueno, K. (2011). Development of an electrically driven intelligent brake system. SAE International Journal of Passenger Cars Mechanical Systems, 4(1), 399–405. https://doi.org/10.4271/2011-01-0568
   Google Scholar
• Salih, S. Q., Allawi, M. F., Yousif, A. A., Armanuos, A. M., Saggi, M. K., Ali, M., & Chau, K. W. (2019). Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: Case study of Nasser Lake in Egypt. Engineering Applications of Computational Fluid Mechanics, 13(1), 878–891. https://doi.org/10.1080/19942060.2019.1647879
   Web of Science ®Google Scholar
• Si, Y., Zhu, Y., Zou, R., Guo, F., & Wang, J. (2014). Current situation and development trend of automobile diesel standards in China. Chemical Engineering of Oil & Gas, 43(1), 82–86. https://doi.org/10.3969/j.issn.1007-3426.2014.01.017
   Google Scholar
• Wei, H., Lu, X., Yu, L. I., Yimeng, H., & Zhuoping, Y. U. (2017). Yaw stability control strategy based on integrated-electro-hydraulic brake system. Journal of Mechanical Engineering, 53(24), 161–169. https://doi.org/10.3901/JME.2017.24.161
   Google Scholar
• Yang, B., & Han, B. (2017). Control strategy model and simulation study of automobile electronically controlled hydraulic braking system. Automation and Instrumentation, 37(3), 87–90. https://doi.org/10.14016/j.cnki.1001-9227.2017.03.087
   Google Scholar
• Yang, B., & Wu, X. (2017). Identification of braking intention of EHB system based on fuzzy logic. Process Automation Instrument, 38(9), 25–28. https://doi.org/10.16086/j.cnki.issn1000-0380.201709006
   Google Scholar
• Yong, J., Gao, F., Ding, N., & He, Y. (2017). Design and validation of an electro-hydraulic brake system using hardware-in-the-loop real-time simulation. International Journal of Automotive Technology, 18(4), 603–612. https://doi.org/10.1007/s12239-017-0060-2
   Web of Science ®Google Scholar
• Yu, Z., Han, W., & Xu, S. (2017). Overview of the development of hydraulic control of electronic hydraulic braking system. Journal of Mechanical Engineering, 53(14), 1–15. https://doi.org/10.3901/JME.2017.14.001
   Google Scholar
• Yuan, J., Zhu, S., Zhou, Y., Lu, Z., Ma, J., & Deng, X. (2018). Experimental of tractor front axle hydro-pneumatic suspension system vibration response characteristic. Journal of Mechanical Design, 35(2), 48–55. https://doi.org/10.13841/j.cnki.jxsj.2018.02.009.
   Google Scholar
• Yuan, W., Li, L., Zhang, D. G., & Hong, J. Z. (2016). New method for oblique impact dynamics research of a flexible beam with large overall motion considering impact friction force. Acta Mechanica Sinica, 32(4), 720–730. https://doi.org/10.1007/s10409-016-0576-0
   Web of Science ®Google Scholar
• Zhao, X., Li, L., Song, J., Li, C., & Gao, X. (2016). Linear control of switching valve in vehicle hydraulic control unit based on sensorless solenoid position estimation. IEEE Transactions on Industrial Electronics, 63(7), 4073–4085. https://doi.org/10.1109/TIE.2016.2541080
   Web of Science ®Google Scholar
• Zhao, Y., & Collins, E. G. (2003). Fuzzy PI control design for an industrial weigh belt feeder. IEEE Transactions on Fuzzy Systems, 11(3), 311–319. https://doi.org/10.1109/TFUZZ.2003.812686
   Web of Science ®Google Scholar