Research on Control System for Material Transport Vehicle Based on Stacking Model

Abstract

Material transport vehicle is one of the most important equipment for maintaining of railway roadbed. However, due to manual observation and operation, coupled with a lack of automation, they are susceptible to external factors, including issues of partial load, underload or overload and safety hazards such as stone drop . This paper introduces an automatic control system for material transport vehicles, specifically designed to improve their working efficiency, ensure loading quality, and enhance work safety. Firstly, a stacking model was established according to material characteristics, enabling accurate prediction of material distribution to prevent partial loading. Secondly, the embedded technology and ultrasonic noncontact detection technology were employed to monitor the real-time material load, ensuring loading accuracy and preventing overload or underload.. The designed system facilitates real-time data transmission based on wireless communication technology, which makes monitoring more convenient. To enhance man-machine interaction, a mobile system based on LabVIEW was developed, enabling remote monitoring of material transport vehicles, which contributes to reducing workload and intensity for operators. Finally, the control system was reinforced using an improved proportional-integral-differential (PID) control algorithm to optimize the control performance. This algorithm not only ensures control stability and accuracy, but also reduces energy consumption and mechanical wear. The effectiveness of the proposed automatic control system was proved by field operations. The results show an efficiency increase by more than 50%, a reduction in loading errors, and a significant improvement in work safety.

Keywords

• railway roadbed
• material transporter
• accumulation model
• non-contact detection
• radio frequency