基于神经网络的PID控制方法在矿井提升机中的应用

摘要

This article studied the mine hoist control strategy,improved the performance of elevator control system, to make a safe and reliable operation, and meet the requirements of coal mine safety pro-duction. For nonlinear PID control system on the basis of theoretical analysis, the improved nonlinear PID control method based on neural network algorithm, achieved reduce the overshoot and improve the stabili-ty of the system running indexes. And digital simulation is carried out by using the simulation tool MAT-LAB, proved the effect of nonlinear PID control method based on neural network in the mine hoist control system.%通过对矿井提升机的控制策略进行研究，达到提高提升机控制系统的性能，使其运行安全、可靠，满足煤矿安全生产的要求。在分析非线性PID控制系统理论基础上，采用基于神经网络算法改进非线性PID控制方法，实现减小系统的超调、提高稳定性等运行指标。并使用仿真工具MATLAB进行了数字仿真，证实了基于神经网络非线性PID控制方法在矿井提升机控制系统中的效果。