本文關(guān)鍵詞： 永磁同步電機 遺傳算法 粒子群算法 遺傳粒子群算法 多目標優(yōu)化　出處：《安徽大學》2017年碩士論文　論文類型：學位論文

【摘要】：電機在工業(yè)自動化的發(fā)展中占據(jù)著舉足輕重的位置,各類型的電機作為生產(chǎn)原動力,消耗了大約全球總發(fā)電量的60%,因此如何對電機進行合理的優(yōu)化設(shè)計成為節(jié)能降耗的重要一環(huán)。在眾多類型的電機中,自起動永磁同步電機因具有較高的效率和功率因數(shù),結(jié)構(gòu)簡單、體積小、能量密度高、動態(tài)性能良好等特點,被廣泛地應(yīng)用于交通、航天、醫(yī)藥和生產(chǎn)等眾多領(lǐng)域。同時永磁電機也存在成本高、退磁風險等問題,需要通過優(yōu)化設(shè)計提升其運行性能和降低設(shè)計成本來補償。本文通過對永磁同步電機基本原理進行分析,并從電機的電磁設(shè)計著手,對自起動永磁同步電機算法優(yōu)化設(shè)計進行了研究。論文的主要工作如下:1.介紹了電機優(yōu)化與設(shè)計的發(fā)展現(xiàn)狀以及研究趨勢;介紹了遺傳算法(GA)以及粒子群算法(PSO)的基本原理以及改進方法。通過對比分析兩者的優(yōu)缺點,采用一種優(yōu)勢互補的遺傳粒子群優(yōu)化算法(GAPSO),并論述了其基本流程。2.從自起動永磁同步電機的基本原理及結(jié)構(gòu)出發(fā),分析其電磁設(shè)計過程特點,為電機優(yōu)化做準備。建立基于C++的自起動永磁同步電機的電磁計算模型。以典型型號的自起動同步電機為例進行電磁計算,通過Ansoft有限元分析軟件對電機計算程序的結(jié)果準確性進行校驗。3.在以上工作的基礎(chǔ)上,以效率、功率因數(shù)等為優(yōu)化目標,選定合理的優(yōu)化變量,并進行相應(yīng)的約束條件設(shè)置,從而建立自起動永磁同步電機的優(yōu)化數(shù)學模型。然后將之結(jié)合電機的電磁計算模型形成永磁同步電機的優(yōu)化設(shè)計程序。建立基于C#的簡單用戶界面,結(jié)合優(yōu)化程序形成永磁同步電機的優(yōu)化設(shè)計系統(tǒng)。以三臺不同規(guī)格的永磁同步電機為對象進行優(yōu)化設(shè)計,分析優(yōu)化后電機的成本以及性能變化,說明優(yōu)化算法的實用性和有效性。最后通過Ansoft有限元法對優(yōu)化前后的設(shè)計方案進行二維電磁場靜態(tài)、瞬態(tài)仿真,仿真結(jié)果表明優(yōu)化顯著改善了電機的起動性能和運行特性。
[Abstract]:Motor occupies a pivotal position in the development of industrial automation. As the primary power of production, all types of motors consume about 60% of the global total power generation. Therefore, how to optimize the design of the motor becomes an important link of saving energy and reducing consumption. Among the many types of motor, the self-starting permanent magnet synchronous motor has high efficiency and power factor, simple structure and small volume. Because of its high energy density and good dynamic performance, it has been widely used in many fields such as transportation, aerospace, medicine and production. At the same time, the permanent magnet motor also has the problems of high cost and demagnetization risk. This paper analyzes the basic principle of PMSM and starts with the electromagnetic design of PMSM. The algorithm optimization design of self-starting permanent magnet synchronous motor (PMSM) is studied. The main work of this paper is as follows: 1. The basic principle and improved method of genetic algorithm (GA) and particle swarm optimization (PSO) are introduced. A genetic particle swarm optimization algorithm with complementary advantages is adopted, and its basic flow is discussed. 2. The basic principle and structure of self-starting permanent magnet synchronous motor (PMSM) are discussed. The characteristics of the electromagnetic design process are analyzed to prepare for the optimization of the motor. The electromagnetic calculation model of the self-starting permanent magnet synchronous motor based on C is established. The typical self-starting synchronous motor is taken as an example to carry out the electromagnetic calculation. On the basis of the above work, the efficiency, power factor and other optimization objectives are selected to select the reasonable optimization variables. 3. The Ansoft finite element analysis software is used to check the accuracy of the results of the motor calculation program. 3. Based on the above work, the efficiency, power factor and other optimization objectives are selected. And the corresponding constraints are set. The optimization mathematical model of the self-starting permanent magnet synchronous motor is established, and then the optimization design program of the permanent magnet synchronous motor is formed by combining the electromagnetic calculation model of the motor. A simple user interface based on C # is established. The optimization design system of PMSM is formed by combining the optimization program. Three PMSM with different specifications are taken as the object to optimize the design, and the cost and performance of the PMSM after optimization are analyzed. Finally, the Ansoft finite element method is used to simulate the static and transient electromagnetic field before and after optimization. The simulation results show that the optimization greatly improves the starting performance and running performance of the motor.
【學位授予單位】：安徽大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP18;TM341

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