开关磁阻电机损耗建模及效率最优控制算法研究

项目名称： 开关磁阻电机损耗建模及效率最优控制算法研究

项目编号： No.51277026

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 电工技术

项目作者： 钟锐

作者单位： 东南大学

项目金额： 78万元

中文摘要： 作为一种无需稀土永磁材料的无刷直流电机，开关磁阻电机由于具备调速范围大、效率平台宽、可靠性高等优点，国外正在大力开展对其的研究和应用。其中的难点是对电机的建模和控制。针对传统损耗模型误差较大的问题，本课题拟在分析其误差产生来源的基础上，研究基于测量技术的损耗建模及效率最优控制算法。首先分析损耗的影响因素，设计与相电流成非线性关系的虚拟电阻，以此等效表示磁特性获取中铁损，并结合数据剥离方法，研究与控制参数相关的损耗模型和基于优化核函数的多输入多输出支持向量机的磁特性模型建模技术，继而综合二者形成SRM整体模型。在此模型基础上，对相电感在定转子凸极非对齐位置附近的小电感区进行研究，建立其非线性模型，并以此形成更精确的最优开通角和关断角计算方法和公式，从而得到效率最优开关角控制参数。最后进一步研究不同控制方式下系统能耗及最优控制策略。并设计相应的测试环境，在宽负载和宽转速范围下验证研究成果。

中文关键词： 开关磁阻电机；磁特性模型；铁损模型；小电感区电感模型；效率最优控制算法

英文摘要： As a brushless DC motor which requires no rare earth permagnet, Switched Reluctance Motor(SRM) is paid a lot of attention in research and application by foreign organization with its characteristics of speed wide, high efficiency, high reliability and so on. Aims at big error problem of conventioanl SRM loss model, the error source is analyzed. Based on that, the measurement method of iron loss modelling and algorithm of efficiency optimization is researched. First of all, the influencing factor of loss is analyzed, then the virtual resistance as a nonlinear function of current is designed, which is equivalent to iron loss in measurement. After that, the SRM loss model realated to control parameters and the magnetic characterisitics model based on MIMO support vector machine with optimal kernel function are researched, then whole SRM model is builded. The model of small inductance region where the phase inductance close to the nonaligned postion of stator salient pole is researched and builded. Based on that, the method and formula of optimal turn-on and turn-off angles is produced, which provides the efficiency optimization control paremeters of turn-on and turn off angles. In the end, the system energy distribution and optimized control strategy is made a further research and the corresponding testing enviro

英文关键词： switched reluctance motor；magnetic characteristic model；iron loss model；inductance model at the small inductance region；controlling algorithm of optimal efficiency