Russian Federation
Russian Federation
Russian Federation
Russian Federation
Russian Federation
Studies show that the number of traction and transport agricultural energy facilities aged 15 years and more account for 70% of the total fleet of machines, then increasing the durability of the MEA will allow it to be operated for a longer period. The use of an adaptive running system of the MES with elements of artificial intelligence involves reducing the pressure on the soil by 25% and reduc-ing the slipping of the propulsor to 35%., as well as reducing the level of vibration activity of the MES structural elements, which will significantly improve the working conditions of the operator; protect the MES from the effects of vibrations, increase durability by reducing dynamic loads, and subsequently increase fatigue resistance and reliability of the MES. To do this, it is necessary to develop algorithms for controlling the impact and reaction of the control system to possible event scenarios during the operation of the MEA in the fields. Before in-stalling the control system on the MES, it is also necessary to debug the control system, identify er-rors in operation and eliminate them. To do this, it is necessary to create a specialized stationary stand that simulates the real operating conditions of an adaptive springing system and develop op-timal control of the actuator in the active suspension system in order to most effectively dampen vibrations arising from road irregularities. This article develops and substantiates the technical characteristics of a test bench for adap-tive springing systems for mobile energy facilities (MES) for agricultural purposes with a pneumatic springing system. The principles of simulation of the road surface using the program code of the controller with an on-board computer, which contains the algorithm of the trained neural network for controlling the pneumatic system, have been developed. The purpose of this stand is to provide (simulate) the modes of operation of an adaptive springing system (in online mode) for mobile agri-cultural energy facilities.
durability, design elements, mobile electrical equipment, pneumatic element, rigidity, artificial intel-ligence, neural network; test bench, suspension, imitation, road surface, springing, adaptive systems
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