Engineering Research Initiation Grant: Optimization of Switched Reluctance Motor Drives (REU Supplement)

该项目的目标是：1)改进开关磁阻电机（SRM）控制器的换相策略，以最小化定子电流的幅值和变化率；2)确定最合适的SRM磁链和转矩特性，用于基于线性化和解耦变换（LDT）的控制器。拟议的研究涉及到SRM控制领域的首席研究员最近开发的方法的扩展。该方法涉及两个阶段的设计过程：首先，内部反馈回路将多输入非线性SRM动态“转换”为单输入线性系统的动态；其次，利用众所周知的线性技术为特定的控制任务设计了外部反馈回路。第一阶段的研究将从控制设计的角度进行。目标将是优化现有的LDT算法，以便最好地利用电力电子技术。研究的第二阶段，从机器设计的角度进行，将确定与LDT算法一起使用的最佳SRM规格。因此，后一项工作的结果将是作为SRM设计目标的“目标机器”。这项研究将以数学优化理论为基础，包括详细的模拟研究和实验室实验。

The objectives of this project are 1) to improve the commutation strategy of switched reluctance motor (SRM) controllers in order to minimize the amplitude and the rate of change of stator currents; and 2) to determine the most suitable SRM flux and torque characteristics for use with controllers based on the linearizing and decoupling transformation (LDT). The proposed research involves the extension of methods recently developed by the principal investigator in the area of SRM control. The approach involves a two stage design process: first, an inner feedback loop "transforms" the multiple-input nonlinear SRM dynamics into those of a single-input linear system; second, an outer feedback loop is designed for the specific control task using well-known linear techniques. The first phase of research will be performed from the viewpoint f control design. The objective will be to optimize the existing LDT algorithm in order to make the best use of power electronic technology. The second phase of the research, performed from the viewpoint of machine design, will determine the best SRM specifications for use with the LDT algorithm. Hence, the result of the latter work will be a "target machine" to be an SRM design objective. The research will be based on mathematical optimization theory, and will involve detailed simulation studies as well as laboratory experimentation.