Mechatronic control system as a means of increasing the service property of long-wheelbase road trains

Abstract

Long wheelbase road trains are widely used to deliver long and oversized cargo. To comply with the regulated indicators of maneuverability, the road train must be equipped with steering axles and a control system. Currently, the most common mechanical and hydrostatic control systems (CSs). However, in these systems, despite their reliability and low cost, it is impossible to change the gear ratio of the drive, which is required to ensure optimal maneuverability of the road train, especially with a variable base, in the presence of a telescopic frame. The most promising CSs that provide an increase in the maneuverability and stability of the road train in all modes of movement are mechatronic control systems. The synergistic effect of the combination of an electro-hydraulic drive, a large number of sensors and a neural network control method improves the maneuverability and stability of a long-wheelbase road train. Using neural network control methods, the stability and maneuverability of the road train is improved, and in a wider range of speeds than with classical control methods with constant coefficients.