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Fuzzy Controllers of Antilock Braking System: A Review

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Abstract

This paper provides a review of the common fuzzy system-based controllers as one of the most powerful approaches in the control problem of antilock braking systems (ABSs) which have been employed in various research works. Because of model nonlinearities and the uncertainties of the braking process, designing proper controllers for ABSs has become a challenging task. Fuzzy systems are considered to be a highly useful and applicable tool for designing effective ABS controllers. In this survey, first, the preliminary information regarding the ABS control, such as vehicle dynamics and tire models, is presented. Then, various type-1 (T1) and type-2 (T2) fuzzy logic systems and the structures of ABS controllers are examined and classified into distinct general categories. Finally, different research papers published in this field on different types of fuzzy logic-based control systems (e.g., fuzzy proportional integral derivative, fuzzy sliding-mode controllers, fuzzy neural networks, etc.) and also on other control techniques based on T1 and T2 fuzzy systems are compiled and reviewed. Moreover, in each section, the details regarding the cited research works are listed in a separate table.

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    Abdollah Amirkhani & Mahdi Molaie

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Amirkhani, A., Molaie, M. Fuzzy Controllers of Antilock Braking System: A Review. Int. J. Fuzzy Syst. 25, 222–244 (2023). https://doi.org/10.1007/s40815-022-01376-y

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