基于二维云模型的机车粘着控制及其仿真研究

Adhesion Control of Locomotives Based on Two-dimension Cloud Model and Its Simulation Study

提出了一种基于云模型控制器的机车粘着控制方法。通过分析机车牵引系统的粘着特性,建立了简化的机车牵引系统仿真模型;利用云模型的定性概念与其定量表示之间的不确定性转换能力,针对机车粘着控制的强非线性、复杂性,设计了基于云模型的机车粘着控制器。仿真结果表明,本方法可以有效地抑制空转的发生,实现了机车优化粘着控制。

Alocomotive adhesion control method based on cloud model is proposed. Through the analysis of adhesion characteristics of the locomotive traction system, the simplified simulalion model is built. By use of the uncertain conversion capacity between the expression of qualitative and quantitative concept in the cloud model, the locomotive adhesion controller based on the cloud model is designed, in the fight of the strong non-linearity and complexity of the adhesion control. The simulation results show that the method could effectively avoid the slip occurrence and realizes the optimized adhesion control.