Abstract
This article is dedicated to the analysis of current methods aimed at improving the reliability of steering control in agricultural transport when operating on deformable soil. Objective of this paper is to analyze existing methods aimed at enhancing the reliability of steering control in agricultural transport on deformable terrain. Given the high relevance of the use of vehicles in agriculture on such ground conditions, there is a need to develop methods that can improve steering reliability and reduce the likelihood of accidents. The outcome of this article is a consideration of various approaches and methods that help address this issue; the paper aims to consolidate experience and knowledge in this field and offer recommendations for enhancing the steering control reliability of agricultural transport when operating on deformable soil. The methods examined in this paper include improving the quality of materials and components, developing optimal ball joint geometry, using automatic adjustment systems, applying new «Precision Agriculture» technology concepts, and implementing operational self-diagnostics with regular technical maintenance. Selection of stronger and more durable materials, the installation of automatic suspension adjustment systems, and regular technical maintenance will increase the reliability and lifespan of steering equipment on deformable soil. The use of new technologies, such as machine learning and artificial intelligence, will enhance the safety of agricultural machines. The author brings novelty to the study of enhancing steering control reliability in agricultural transport on deformable soil by focusing on the application of modern technologies and methods, such as the use of automatic adjustment systems and the implementation of new technologies. Moreover, the author emphasizes the need for regular technical maintenance and replacement of worn parts to maintain the efficiency and safety of the steering equipment's operation.
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More From: Proceedings of the Voronezh State University of Engineering Technologies
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