基于迭代学习控制的开关磁阻电机转矩脉动最小化控制研究
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摘要
开关磁阻电机具有结构简单坚固,制造成本低,工作可靠,控制灵活,运行效率高,适用于高速和恶劣环境下运行等优点。开关磁阻电机传动系统,具有许多交直流传动系统所没有的优点,引起世界各国广泛的研究兴趣。但是,由开关磁阻电机双凸级结构所带来的转矩脉动严重的问题,一直成为制约其进入更多应用领域的主要障碍。如何有效减小开关磁阻电机转矩脉动,逐渐成为国内外学者研究的热点。
     本课题将迭代学习控制引入到开关磁阻电机转矩控制中。迭代学习控制具有算法简单,且控制过程不需要预知被控系统模型和参数的特点,用于减小开关磁阻电机的转矩脉动有明显的优势。本课题以TI公司的DSP TMS320F2812为控制核心,设计了转矩控制器实验系统,进行了理论分析和实验研究。
     论文首先介绍了开关磁阻电机的发展情况和主要特点,以及在减小转矩脉动方面,国内外目前的研究现状;其次,介绍了开关磁阻电机的本体结构及其线性数学模型,阐述了开关磁阻电机调速系统的基本组成和运行机理,分析了目前通常采用的三种控制策略;第三,对迭代学习控制理论进行了介绍和分析,并对其收敛性情况进行了论证,建立了开关磁阻电机非线性数学模型,采用Matlab中的Simulink对基于迭代学习控制的转矩控制器进行了仿真研究;第四,设计了基于迭代学习控制的开关磁阻电机实际实验系统,对象为一台0.375kW的开关磁阻电机样机,详细说明了该控制策略运用于实际系统的思路和方法,并对硬件电路和软件流程分别进行了说明;最后在实际实验系统设计的基础上,进行了基于迭代学习控制的转矩控制器实验研究,分别给出了电流控制器和转矩控制器的实验结果和波形,并进行了实验结果分析。
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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