摘要
分析了电力机车牵引系统动力学模型及其粘着控制问题,利用基于多分辨率分析的模糊系统(MAFS)方法,根据系统输入和输出数据,建立具有优化结构的电力机车粘着控制对象的模糊系统模型。在此基础上,结合粘着控制模型,给出了基于MAFS及其辨识算法的模糊自适应粘着控制器。仿真结果表明该粘着控制方法的可行性和优越性。
Dynamics model of electric locomotive traction system and its adhesion control were analyzed. Based on the system input-output data, fuzzy system model of the electric locomotive adhesion control with optimized structure was constructed by multi-resolution analysis based fuzzy system （MAFS） method. Combined with characteristic of adhesion control model, fuzzy indirect adaptive adhesion control was given based on MAFS and its identification algorithm. Simulation results show the feasibility and advantageous of the proposed adhesion control approach.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第11期3192-3195,共4页
Journal of System Simulation
基金
教育部博士点基金资助(20040613013)
四川省应用基础研究基金资助(05JY029-006-4)。
关键词
粘着控制
多分辨率分析
模糊系统
自适应控制
adhesion control
multi-resolution analysis
fuzzy system
adaptive control
