本文關(guān)鍵詞： 高壓斷路器 電機(jī)操動(dòng)機(jī)構(gòu) 新型無刷電勵(lì)磁直流電機(jī) 模糊控制 神經(jīng)網(wǎng)絡(luò)　出處：《沈陽工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：本世紀(jì)八十年代,隨著微型計(jì)算機(jī)和互聯(lián)網(wǎng)飛速的發(fā)展,電機(jī)的使用不僅僅局限在單純的傳遞動(dòng)能,而是越來越多的被用于各種復(fù)雜控制,電機(jī)根據(jù)應(yīng)用的不同需要有不同的設(shè)計(jì)和控制方法。本文以高壓斷路器操動(dòng)機(jī)構(gòu)的驅(qū)動(dòng)電機(jī)為研究對(duì)象,分析了高壓斷路器的工作特性及其電機(jī)操作機(jī)構(gòu)的工作原理,提出了一種符合高壓斷路器工作特性的新型無刷電勵(lì)磁直流電機(jī)操作機(jī)構(gòu)。為了提高其操作的可靠性和可控性,在研究和分析新型無刷電勵(lì)磁直流電機(jī)的結(jié)構(gòu)、轉(zhuǎn)矩特性的基礎(chǔ)上,針對(duì)該新型電機(jī)無法獲得精確數(shù)學(xué)解析模型的問題,提出了一種基于模糊神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)的智能控制算法。(1)在研究高壓斷路器工作特性及其不同操作機(jī)構(gòu)的特點(diǎn)的基礎(chǔ)上,以高壓斷路器電機(jī)操作機(jī)構(gòu)為研究重點(diǎn),分析了40.5kV高壓斷路器電機(jī)操作機(jī)構(gòu)的運(yùn)動(dòng)特性。并提出了基于新型電勵(lì)磁無刷直流電機(jī)的操作機(jī)構(gòu),同時(shí)分析了該操作機(jī)構(gòu)的負(fù)載特性并計(jì)算了其負(fù)載特性曲線。(2)從高壓斷路器電機(jī)操作機(jī)構(gòu)的工作穩(wěn)定性和可靠性方面出發(fā),以新型無刷電勵(lì)磁直流電機(jī)作為高壓斷路器操作機(jī)構(gòu)的驅(qū)動(dòng)電機(jī),在對(duì)該新型電機(jī)的拓?fù)浣Y(jié)構(gòu)和工作原理進(jìn)行分析的基礎(chǔ)上,通過ANSYS Maxwell仿真軟件對(duì)該電機(jī)進(jìn)行了仿真,對(duì)該新型電機(jī)進(jìn)行特性分析,并搭建了基于DSP(F28335)的實(shí)時(shí)電機(jī)控制試驗(yàn)平臺(tái)。(3)在分析新型無刷電勵(lì)磁直流電機(jī)工作原理和結(jié)構(gòu)仿真的基礎(chǔ)上,結(jié)合高壓斷路器操作機(jī)構(gòu)的負(fù)載特性,通過分析該新型電機(jī)的控制特點(diǎn),使用ANSYS Maxwell軟件對(duì)該電機(jī)的靜態(tài)轉(zhuǎn)矩進(jìn)行了采樣,在此基礎(chǔ)上進(jìn)一步對(duì)該新型電機(jī)相應(yīng)的控制策略展開研究。(4)在上述研究的基礎(chǔ)上,針對(duì)該新型電機(jī)求解精確數(shù)學(xué)解析模型難度較大的問題,提出了一種新的無模型控制方法,該方法結(jié)合神經(jīng)網(wǎng)絡(luò)和模糊控制的特點(diǎn)對(duì)新型電機(jī)的轉(zhuǎn)矩特性曲線進(jìn)行了離線學(xué)習(xí),獲得了轉(zhuǎn)矩逆函數(shù)。并在轉(zhuǎn)矩逆函數(shù)的基礎(chǔ)上,提出了一種新的轉(zhuǎn)矩分配函數(shù),在獲得轉(zhuǎn)矩分配函數(shù)和轉(zhuǎn)矩逆函數(shù)之后,實(shí)現(xiàn)了對(duì)該新型電機(jī)的實(shí)時(shí)控制,并通過仿真數(shù)據(jù)進(jìn)行了驗(yàn)證。
[Abstract]:In 80s, with the rapid development of microcomputers and the Internet, the use of motors was not confined to the mere transfer of kinetic energy, but more and more used in complex control. The motor has different design and control methods according to the different needs of application. This paper takes the driving motor of the operating mechanism of high voltage circuit breaker as the research object, analyzes the working characteristics of the high voltage circuit breaker and the working principle of the motor operating mechanism. In this paper, a new brushless excitation DC motor operating mechanism is proposed. In order to improve the reliability and controllability of the brushless excitation DC motor, the structure of the new brushless excitation DC motor is studied and analyzed. On the basis of torque characteristics, the new motor can not obtain accurate mathematical analytical model. This paper presents an intelligent control algorithm based on fuzzy neural network learning. On the basis of studying the characteristics of high voltage circuit breakers and their different operating mechanisms, this paper focuses on the motor operating mechanism of high voltage circuit breakers. The motion characteristics of the motor operating mechanism of 40.5 kV high voltage circuit breaker are analyzed, and the operating mechanism based on a new type of electric excitation brushless DC motor is proposed. At the same time, the load characteristic of the operating mechanism is analyzed and its load characteristic curve is calculated. (2) from the aspect of the working stability and reliability of the motor operating mechanism of the high voltage circuit breaker, The new brushless excitation DC motor is used as the driving motor of the high voltage circuit breaker. Based on the analysis of the topology and working principle of the new motor, the simulation of the motor is carried out by ANSYS Maxwell software. The characteristic of the new motor is analyzed, and the real time motor control test platform based on DSPF28335) is built. On the basis of analyzing the working principle and structure simulation of the new brushless excitation DC motor, combined with the load characteristics of the operating mechanism of the high voltage circuit breaker, By analyzing the control characteristics of the new motor, the static torque of the motor is sampled by using ANSYS Maxwell software. On this basis, the corresponding control strategy of the new motor is further studied. In view of the difficulty of solving the exact mathematical analytical model of the new motor, a new model-free control method is proposed, which combines the characteristics of neural network and fuzzy control to study the torque characteristic curve of the new motor off-line. The torque inverse function is obtained. Based on the torque inverse function, a new torque distribution function is proposed. After obtaining the torque distribution function and the torque inverse function, the real-time control of the new motor is realized. It is verified by simulation data.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM33

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