Testing the effectiveness of the algorithm for suppressing self-oscillations during intensive braking of a vehicle
Year: 2025
Type: article
Abstract: Background: When the vehicle slows down, especially on slippery surfaces, it is possible to lose the motion stability of the electromechanical drive system, accompanied by the excitation of self-oscillations with high amplitudes. The origin of self-oscillations occurs when the sliding speed increases and the friction force decreases. At the same time, the dynamic load of the drive system increases sharply, which can lead to its failure. As a result, the development of methods for suppressing self-oscillatory phenomena is a relevant task. Objective: Using the methods of field experiments, to test the operability and effectiveness of the method of suppressing self-oscillations in the electromechanical wheel drive system during braking. Methods: The study of the efficiency and effectiveness of the algorithm was carried out using the methods of field experiments. Results: Using the method of field experiments, the operability and effectiveness of the algorithm for suppressing self-oscillations during deceleration has been found, as it is capable of reducing the values of maximum amplitudes by 6 times, averaged amplitudes by 3–3.5 times, while excluding changes in the sign of the torque during intense vehicle decelerations. Conclusions: The algorithm for suppressing self-oscillations can be recommended for the practical development of vehicle deceleration control systems.
Source: Izvestiya MGTU MAMI
Author: Alexander V. Klimov
Institution: Moscow Polytechnic University
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407712910