刮板输送机控制技术研究现状与发展趋势

Research status and development trends in scraper conveyor control technology

  • 摘要: 刮板输送机是综采工作面煤流运输的核心装备,其控制水平直接影响煤炭开采效率与运行安全。针对复杂工况下煤流负载波动剧烈、多电动机功率分配不均、链条张力冲击频发及故障停机率高等问题,系统综述了刮板输送机控制技术的研究现状与发展趋势。根据控制对象与控制目标的不同,将现有研究归纳为转速控制、转矩控制、功率平衡控制、链条张力与运行状态控制、故障容错控制5类,阐述了各类技术的基本原理、典型方法及研究现状。分析表明:变频调速、永磁直驱控制、滑模控制、模糊控制、采煤机−刮板输送机协同控制等技术提高了刮板输送机速度调节能力和负载适应能力;软启动、直接转矩控制及先进电动机控制策略改善了启动冲击和转矩波动问题;主从控制、多电动机同步补偿和抗扰自适应控制促进了驱动系统功率协调运行;无线传感监测、自动张紧和智能诊断方法提升了链条状态感知与设备安全保障能力。指出现有研究存在多源状态信息获取可靠性不足、速度−转矩−功率−张力之间耦合关系考虑不充分、先进控制算法工程部署困难及故障状态下主动调节和容错运行能力不足等问题。提出刮板输送机控制技术研究需进一步向整机协同控制、运行状态自适应调节和安全主动保障方向发展,加强多源信息融合、机电液协同控制及故障状态下的功率重构与稳定运行研究,为综采工作面装备智能化和高可靠运行提供技术支撑。

     

    Abstract: Scraper conveyors are core equipment for coal flow transport at fully mechanized mining faces, and their control performance directly affects coal mining efficiency and operational safety. This paper systematically reviews the research status and development trends of scraper conveyor control technology, focusing on severe coal flow load fluctuations, uneven power distribution among multiple motors, frequent chain tension shocks, and high rates of fault-induced downtime under complex operating conditions. According to the control objects and objectives, existing studies are classified into five categories: speed control, torque control, power balancing control, chain tension and operating state control, and fault-tolerant control. The basic principles, typical methods, and research status of each category are described. The analysis shows that variable-frequency speed regulation, permanent magnet direct-drive control, sliding mode control, fuzzy control, and coordinated shearer–scraper conveyor control improve speed regulation and load adaptability. Soft starting, direct torque control, and advanced motor control strategies mitigate starting shocks and torque fluctuations. Master–slave control, multi-motor synchronous compensation, and disturbance-rejecting adaptive control promote coordinated power delivery in drive systems. Wireless sensing and monitoring, automatic tensioning, and intelligent diagnosis enhance chain condition awareness and equipment safety. Existing research remains limited by unreliable acquisition of multi-source state information, insufficient consideration of the coupling among speed, torque, power, and tension, difficulties in the engineering deployment of advanced control algorithms, and inadequate active adjustment and fault-tolerant operation capabilities under fault conditions. Further research needs to advance toward coordinated control of the entire machine, adaptive adjustment of operating states, and proactive safety assurance. Greater emphasis is needed on multi-source information fusion, coordinated mechanical–electrical–hydraulic control, and power reconfiguration and stable operation under fault conditions, to provide technical support for intelligent and highly reliable equipment operation at fully mechanized mining faces.

     

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