基于T-S模糊模型的高速动车组网络控制方法研究  被引量:2

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作  者:徐滨全 王元东 宋程 

机构地区:[1]中车青岛四方机车车辆股份有限公司,山东青岛266111

出  处:《科技创新与应用》2020年第17期122-125,共4页Technology Innovation and Application

摘  要:文章首先根据高速动车组网络控制系统的结构建立前向通道时延及反馈通道时延的多功能车辆总线网络控制系统。然后基于T-S模糊模型建立非线性网络控制系统模型,设计各子系统基于状态空间滚动优化的广义预测控制(Generalized Predictive Control,GPC)算法,但传统的GPC算法在线计算量大,不能保证高速动车组网络控制的实时性,故文章提出了一种改进的GPC算法,利用GPC算法与动态矩阵控制律的等价性直接求解最优控制,可极大地减少计算量。最后分别采用不考虑时延的基于T-S模糊模型GPC控制方法、基于T-S模糊模型GPC时延控制方法及基于T-S模糊模型改进的GPC时延控制方法进行实验仿真。实验结果表明:采用基于T-S模糊模型改进的GPC时延控制方法优于其它两种控制方法,该方法可精确地跟踪参考方波信号,也能较好地抑制时延对控制性能的影响且动车组制动开始时速度输出的滞后时间非常短、无剧烈的震荡输出,故保证了高速动车组网络控制的实时性。In this paper, a multifunctional vehicle bus network control system with forward channel delay and feedback channel delay is established according to the structure of high-speed EMU network control system. Then, the nonlinear networked control system model is established based on the T-S fuzzy model, and the generalized predictive control(GPC) algorithm for each subsystem based on state space rolling optimization is designed. But the traditional GPC algorithm has a large amount of online calculation and can not guarantee the real-time performance of the networked control of high-speed EMU, so this paper proposes an improved GPC algorithm, which uses the equivalence of the GPC algorithm and the dynamic matrix control law to solve the optimal control directly,thereby can greatly reduce the amount of calculation. Finally, the experimental simulation is carried out by using the GPC control method based on T-S fuzzy model without considering time delay, the GPC time delay control method based on T-S fuzzy model and the improved GPC time delay control method based on T-S fuzzy model. The experimental results show that the improved GPC time delay control method based on T-S fuzzy model is better than the other two control methods. This method can not only accurately track the reference square wave signal, but also restrain the influence of time delay on the control performance. The lag time of speed output at the beginning of EMU braking is very short and there is no severe vibration output, so it ensures the real-time performance of high-speed EMU network control.

关 键 词:高速动车组 T-S模糊模型 GPC算法 多功能车辆总线 时延 

分 类 号:U285[交通运输工程—交通信息工程及控制]

 

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