Publication Date: 2021/02/12
Abstract: Due to the strength of modern cars and their lightness in weight compared to relatively old cars, manufacturers must consider the safety of passengers through the brakes. Therefore, anti-lock braking systems are used for these modern cars to prevent the wheels from locking up after applying the brakes. The car model has a non-linear shape. The control unit shall provide the tuned torque necessary to maintain the optimum value of wheel slip. In this paper to instruct fuzzy PID controllers to improve performance control of anti-lock brake systems compared to conventional PID controllers. An improved anti-lock braking system(ABS) that uses a vehicle quarter model and brake actuator. The car model is derived and simulated linearly towards. three types of controller: relay controller, genetically tuned linear PID and fuzzy PID-type controller. The quality of the anti-lock braking system is assessed in the Matlabsystem by the braking distance and the longitudinal slip coefficient of the vehicle. The fuzzy regulator showed the best characteristics for the antilock system model, reducing the braking distance by up to 10% compared to a conventional PID and by more than 30% compared to a relaycontroller. Practical significance: the proposed control algorithm is promising for implementation in an anti-lock system in real time
Keywords: Anti-Blocking System, Fuzzy Logic Controller, PID Controller, Genetic Algorithm.
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21JAN509.pdf
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