灰色预测模糊自适应PID控制的城轨列车智能驾驶系统研究

为提高城轨列车驾驶系统的智能化程度,将灰色预测控制与模糊自适应PID控制技术相结合,应用到城轨列车驾驶系统中。在对城轨列车驾驶系统进行需求分析的基础上,针对其对各种性能指标的要求,提出了基于灰色预测模糊自适应PID控制的城轨列车智能驾驶系统的设计方案。将灰色预测控制与模糊自适应控制应用到经典PID控制中,设计出了系统的智能控制器,有效满足了城轨列车在运行时对跟踪误差、准点率、停车误差、舒适度和节能性等多个性能指标的要求。仿真结果表明:采用灰色预测模糊自适应PID算法的控制系统具有良好的控制精度且系统的智能化程度得到了相应的提升。

Intelligent Train Operation System of Urban Rail Transit Based on Grey Predictive Fuzzy Adaptive PID Control

In order to improve the intelligent degree of train operation system of urban rail transit,the gray predictive control and the fuzzy adaptive PID control technology are combined and applied to the urban rail train driving system.Based on the needs analysis of urban rail train driving system and the requirements for various performance indicators,a design scheme of intelligent train driving system of urban rail transit based on grey predictive fuzzy adaptive PID control was proposed.The grey predictive control and fuzzy adaptive control were applied to the classical PID control,the intelligent controller was designed to effectively satisfy the claim of multiple performance indexs in tracking error,punctuality rate,parking error,comfort and energy saving of the urban rail trains during operation.The research results show that the control system with gray prediction fuzzy adaptive PID algorithm has good control precision and the degree of intelligence of the system has been improved accordingly.