Open AccessIntelligent anti-lock braking system of electric vehicle with the possibility of mixed braking using fuzzy logic
Author(s) -
A A Umnitsyn,
С В Бахмутов
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2061/1/012101
Subject(s) - anti lock braking system , slipping , threshold braking , electronic brakeforce distribution , actuator , dynamic braking , braking system , engine braking , fuzzy logic , computer science , fuzzy control system , control theory (sociology) , automotive engineering , lock (firearm) , control engineering , control system , brake , control (management) , engineering , artificial intelligence , mechanical engineering , electrical engineering
This article discusses the work of an intelligent anti-lock braking system (ABS), in which electric machines and friction brakes act as actuators. Combining several actuators at one control object is a difficult task. One of the possible ways to solve it is the use of a control system based on fuzzy logic. The paper compares two tracking algorithms for controlling the actuators of the anti-lock braking system: - slipping control using mixed braking, with a control system based on fuzzy logic; - slipping control by means of braking by one actuator - friction brakes. Research results have shown that the use of mixed braking allows one to increase the performance of this system in various driving conditions.