| Simple structure, low cost, reliability, flexible for controlling, high efficiency, suitable for high-speed and hostile environment application, etc. are advantages of Switched Reluctance Motor (SRM). Switched Reluctance Driving System(SRD) has lots of unique advantages compared with AC and DC Driving Systems. But due to double saliency of motor which produces large amount of torque ripples, SRD is still prevented from entering into more application areas. The problem of how to effectively reduce its torque ripples has gradually become research hotspots of both domestic and abroad scholars.This paper introduced Iterative Learning Control(ILC) into torque control application of SRM. ILC algorithm is easy to use and it doesn't need to know accurate parameters of SRM model. So ILC has obvious advantages on reducing torque ripples. This topic has designed a experimental system of torque controller while choosing DSP TMS320F2812 as the core micro-controller and has done some further theoretic research as well as experimental research.Firstly, this paper summarized the development of SRM and its main features, then described research status of SRM on torque ripple minimization.Secondly, this paper described structure and linear-model of SRM, summarized basic composition and operation mechanism of SRD and analyzed three control strategy now in general use.Thirdly, ILC theory was described and analyzed. The conclusion for astringency and stability of ILC was demonstrated. Also, an non-linear mathematical model of SRM was built. ILC based torque controller was simulated using Simulink.Fourthly, this paper designed a experimental torque control system of a 0.375kW SRM based on ILC, described in details about idea and methods of using ILC in the real SRD, and summarized hardware and software design separately.Finally, experimental results of current controller and torque controller using ILC was given though experiments on this practical torque controller based on ILC. |
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