Testing the effectiveness of an algorithm for suppressing self-excited vibrations during intensive braking of a vehicle

Introduction. When the vehicle slows down, particularly on slippery surfaces, stability of the electromechanical drive system movement can be reduced, which is accompanied by high self-excited vibrations. These vibrations occur when the sliding speed increases and the friction force decreases. At the same time, the dynamic load on the drive system increases sharply, which can lead to its failure. Thus, the development of methods for suppressing self-excited vibrations is an urgent task. The purpose of the study is to test the operability and effectiveness of the method for suppressing self-excited vibrations in the electromechanical wheel drive system during braking with the use of methods of field experiments. Materials and methods. The study of the efficiency and effectiveness of the algorithm was based on field experiments. Results. Based on field experiment method, the efficiency and effectiveness of the algorithm for suppressing self-excited vibrations during deceleration has been determined, which allows for six-fold reduction in maximum amplitudes and 3-3,5-fold reduction in averaged amplitudes, while excluding changes in the moment sign during vehicle intense deceleration. Conclusion. The algorithm of suppressing self-excited vibrations can be recommended for application in developing vehicle deceleration control systems

Authors

Institutions

Publication Details

Journal
The Russian Automobile and Highway Industry Journal
Published
2024-11-04
DOI
https://doi.org/10.26518/2071-7296-2024-21-5-692-713
Primary Topic
Brake Systems and Friction Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing the effectiveness of an algorithm for suppressing self-excited vibrations during intensive braking of a vehicle

A. V. Klimov
The Russian Automobile and Highway Industry Journal
Brake Systems and Friction Analysis
article

Testing the effectiveness of an algorithm for suppressing self-excited vibrations during intensive braking of a vehicle

A. V. Klimov
article en

Abstract

Introduction. When the vehicle slows down, particularly on slippery surfaces, stability of the electromechanical drive system movement can be reduced, which is accompanied by high self-excited vibrations. These vibrations occur when the sliding speed increases and the friction force decreases. At the same time, the dynamic load on the drive system increases sharply, which can lead to its failure. Thus, the development of methods for suppressing self-excited vibrations is an urgent task. The purpose of the study is to test the operability and effectiveness of the method for suppressing self-excited vibrations in the electromechanical wheel drive system during braking with the use of methods of field experiments. Materials and methods. The study of the efficiency and effectiveness of the algorithm was based on field experiments. Results. Based on field experiment method, the efficiency and effectiveness of the algorithm for suppressing self-excited vibrations during deceleration has been determined, which allows for six-fold reduction in maximum amplitudes and 3-3,5-fold reduction in averaged amplitudes, while excluding changes in the moment sign during vehicle intense deceleration. Conclusion. The algorithm of suppressing self-excited vibrations can be recommended for application in developing vehicle deceleration control systems

The Russian Automobile and Highway Industry JournalVol. 21(5)
Moscow Polytechnic University (RU)
Affordable and clean energy
Openalex Percentile: Top 79%
Brake Systems and Friction Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.