Abstract
Background: Automobile anti-lock braking system (ABS) is an important part of the vehicle active safety control system, which is widely used in all kinds of vehicles. At present, the research of ABS mainly focuses on the study of the control algorithm, which is intended to improve the stability, robustness, and adaptability of the control algorithm.
Objective: ABS control algorithm has become a research hotspot. Different researchers have proposed different control algorithms and patents because of the different tools used and the entry points of the research. These control algorithms have played a role in promoting the development of ABS. This article reviews various control algorithms.
Methods: According to the research status of domestic and foreign researchers in the field of ABS control algorithms, ABS control algorithms are mainly divided into two categories: control methods based on logic thresholds and control methods based on slip ratio.
Results: The comparative study of ABS control methods shows that the logic threshold control method has strong maneuverability and simple implementation, but its adaptability is poor. Sliding mode control has strong robustness and good transient response, but chattering needs to be suppressed. Although the PID control algorithm is simple and easy to implement, it needs to improve the transient response of the system.
Conclusion: In the future, it is necessary to explore adaptive robust control algorithms that adapt to extreme conditions such as high nonlinearity and sudden road changes, such as active disturbance rejection control technology, deep learning neural network control technology, etc.
Keywords: Anti-lock braking control algorithm, wheel model, slip ratio, highly nonlinear, intelligent control, fuzzy control.
Graphical Abstract
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