Analysis and Development of Control Algorithms to Increase a Trackless Vehicle Driving Range

Abstract

The development of new control algorithms and the study of their use in traction drive system are urgent tasks for specialists to solve. The paper considers development of innovative control algorithms for trackless vehicle. The main goal of the control system design is to provide increase of the driving range of the vehicle by using neural fuzzy control approach. Also the article describes the algorithms development for localization and large coefficients control. The transient processes results obtained during the simulation justify the appropriateness of the proposed techniques for trackless autonomous vehicles control. In addition, the paper offers other possible approaches to driving range optimization.