随着科学技术的发展和煤矿安全生产要求的提高，综合机械化采煤技术逐步在煤矿中推广，作为煤矿主要输送设备带式输送机，传统的输送机控制方式已不能满足现代煤矿的自动化生产的要求，设计安全可靠，性能完善和技术先进的皮带输送机控制系统是输送机发展的趋势，本文针对该问题研究了基于神经网络控制的带式输送机功率平衡系统。 由于输送机在煤矿井下恶劣环境中工作，输送距离较远，工作中易出现干扰，所以设计了提高系统运行稳定性、可靠性的PLC控制系统：通过监测传感器将信号反馈到可编程控制器，通过PID控制器处理后将误差控制信号输出至可控启动传输装置CST，系统通过调节离合器的压力，达到输送机软启动和功率平衡的目的。该系统在控制稳定输送机速度及功率平衡的同时，还实现了对带式输送机进行跑偏、纵撕、高温等保护，来进一步提高输送机的可靠性和稳定性。 文中主要研究了带式输送机控制中需要解决的三个关键问题：一是对带式输送机软起动的控制；二是带式输送机综合保护；三是通过对多电机驱动时的功率平衡原理的分析，给出了平均油压控制多电机功率平衡的方法：检测带式输送机各驱动装置中离合器的压力并取其平均值将其输入到PLC中，然后取检测到的各驱动装置的压力与平均值进行比较，以其差值作为控制信号，调节液粘离合器压力大小，最终达到控制电动机功率的目的。通过对上述三方面问题的研究，给出了相应的PLC 控制程序流程，包括带式输送机软起动、功率平衡和故障综合保护的控制程序流程。为了提高系统中软启动和功率平衡控制精度，通过神经网络整定的PID来实现，使系统控制的非线性和自适应性提高，能更好的控制输送机运行，满足生产实际的要求。

With the development of science and technology, and the improvement of coal mine production safety requirements, mechanized mining technology is gradually promoted in coal mines. Belt conveyor is the main transportation equipment of coal mines, but its traditional control methods can not meet the requirements of automatic production of modern coals. The safe and reliable belt conveyors with improved performance and advanced technology control system are the development trend of the conveyor. Aiming at this problem, a neural network control based power balance system of belt conveyor is studied in this paper. As the conveyor works in the harsh environment of the underground of coal mine, and it's conveying distance is farther, what's worse, it is easy to be disturbed during working, so a control system based on PLC is designed to improve the running stability and the reliability of the system. In this system, the signals are fed back to the programmable controller via monitoring the sensor signals; the error control signal is output to the controlled start transmission device CST after being handled by PID controller; the purpose of conveyor soft-start and power balance will be achieved by adjusting the pressure of the clutch. In this system, the stability of the conveyor speed and the power balance are controlled, meanwhile, the deviation, vertical tear, high temperature, and other aspects are protected to further improve the reliability and stability of the conveyor. Three key issues that need to be addressed in the belt conveyor control are studied in this paper. The first one is belt conveyor soft-start control; second, the integrated protection of belt conveyor; Third, through the multi-motor drives the power balance principle of the analysis, the average hydraulic control gives more balanced approach to motor power: Detection belt conveyor drives in each clutch pressure and averaged enter it into PLC, and then take the detected pressure of the driving device is compared with the mean value, its difference as a control signal, adjusting the size of the viscous clutch pressure, the final purpose to control the motor power. Through the research on the three aspects above, the related PLC control program flows are given, including the soft start of belt conveyor, the power balancing, and the fault comprehensive protection. The neural network tuning PID control method is used to improve control precision of the soft-start and power balance in the system, so that, the nonlinear and self-adaptation of the system are improved, thus the conveyor running can be better controlled to meet the requirements of actual production.