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基于微粒群算法的Buck-Boost矩阵变换器优化研究

Optimal Study of Buck-Boost Matrix Converter Based on Particle Swarm Optimization

【作者】 黄毅

【导师】 张小平;

【作者基本信息】 湖南科技大学 , 控制科学与工程, 2014, 硕士

【摘要】 矩阵变换器因具有简单的拓扑结构和一系列理想的电气特性,而成为电力电子领域研究的热点。但其也存在电压传输比低的问题,使其至今还未得到推广应用。本文研究的Buck-Boost矩阵变换器(Buck-Boostmatrix converter, BBMC)的电压传输比既可以大于1,也可以小于1,且输出波形好、谐波含量小。经研究发现, BBMC输出的谐波失真度与其主电路参数及其控制参数直接相关,研究基于微粒群算法(ParticleSwarm Optimization, PSO)的BBMC参数优化设计方法,降低输出谐波失真度,改善电能质量,具有理论和实际意义。本文首先介绍了BBMC的基本结构和工作原理,分别对其逆变级采用滑模控制、离散滑模控制、双闭环控制策略进行仿真对比分析。对PSO的原理进行了分析,针对PSO易于陷入局部最优的缺陷,结合遗传算法的交叉、变异思想和免疫算法的记忆、选择思想对其改进,采用了带动态惯性权重因子和学习因子的遗传免疫PSO,测试了该算法的寻优性能。将BBMC中待优化的参数作为PSO微粒的位置信息,在Matlab平台上搭建基于双闭环控制的BBMC模型及其输出波形谐波失真度检测模块;通过sim()函数调用BBMC仿真模型,以输出波形谐波失真度作为PSO的适应值,编写PSO优化程序;对BBMC的主电路参数及其双闭环控制策略中的PI参数分别进行寻优;对优化获得的参数进行仿真分析。最后,采用DSP作为系统处理器,MOSFET作为功率开关,搭建BBMC实验系统,同时开发了相关的应用软件对BBMC及其控制策略进行实验验证。

【Abstract】 Matrix converter has simple topology structure and a series of idealelectrical characteristics, and has become a hotspot in research of powerelectronics. The reason that low voltage transfer ratio to make it has notbeen popularized up to now. In this paper, the Buck-Boost matrix converter(BBMC) of the voltage transfer ratio can be greater than1, can also be lessthan1, and has good output waveform, small harmonic content. Studiesfound that BBMC output harmonic distortion is directly related to its maincircuit parameters and its control parameters. The research on optimaldesign of BBMC to improve the quality of power has theoretical andpractical significance.The basic structure and working principle of BBMC is expoundedfirstly, its inverter using sliding mode control, discrete sliding mode control,double-loop control strategy is analyzed and simulated respectively. Theprinciple of PSO is analyzed, aiming at the defects of PSO is easy to fallinto local optimum, the PSO is improved by combining genetic algorithmand immune algorithm with dynamic inertia weight factor and learningfactor is adopted. BBMC parameters as the location information of PSO, themodel of BBMC based on double-loop control strategy and testing model ofharmonic distortion degree of output waveforms is built in Matlab, BBMCoutput harmonic distortion degree As a fitness using sim() to obtain for themodel, Write program of PSO optimize BBMC main circuit parameters andits PI control parameters of the double-loop control strategy, and optimizingabove parameters respectively,the parameters obtained by PSO is analyzed.A prototype of BBMC has been manufactured, in which DSP is acted ascontroller and MOSFET as power switch in main circuit, and correspondingapplication software has been developed. This prototype has been debuggedand tested combined with application software.

【关键词】 Buck-Boost矩阵变换器微粒群算法控制策略优化实验
【Key words】 BBMCPSOOptimizationSimulationExperimental
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