Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN1007-3175

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AI熱潮下無(wú)刷直流電機(jī)模糊智能控制算法研究綜述

來(lái)源:電工電氣發(fā)布時(shí)間:2018-11-21 09:21 瀏覽次數(shù):651
AI熱潮下無(wú)刷直流電機(jī)模糊智能控制算法研究綜述
 
徐敬成1,2,凌云1,2,侯文浩1,2
(1 湖南工業(yè)大學(xué) 電氣與信息工程學(xué)院,湖南 株洲 412007;2 電傳動(dòng)控制與智能裝備湖南省重點(diǎn)實(shí)驗(yàn)室,湖南 株洲 412007)
 
    摘 要:在人工智能(AI)研究領(lǐng)域,智能控制的實(shí)現(xiàn)方法各不相同。分別對(duì)人工智能、無(wú)刷直流電機(jī)調(diào)速系統(tǒng)和模糊控制進(jìn)行具體闡述,并分析了模糊控制在無(wú)刷直流電機(jī)模糊智能調(diào)速系統(tǒng)中的研究現(xiàn)狀與發(fā)展前景,指出由于模糊系統(tǒng)的參數(shù)和規(guī)則靠經(jīng)驗(yàn)來(lái)選擇難免會(huì)存在缺陷,只有結(jié)合不同算法的優(yōu)勢(shì),多種算法相輔相成,互為補(bǔ)充,才能構(gòu)成一個(gè)完整的模糊智能控制系統(tǒng),為研究?jī)?yōu)化控制領(lǐng)域的復(fù)雜問(wèn)題提供了理論依據(jù)。
    關(guān)鍵詞:人工智能;智能控制;無(wú)刷直流電機(jī);模糊控制;優(yōu)化
    中圖分類號(hào):TM33;TP13     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2018)11-0001-04
 
Research Summary of Fuzzy Intelligent Control Algorithms for Brushless Direct Current Motor Under AI Rush
 
XU Jing-cheng1,2, LING Yun1,2, HOU Wen-hao1,2
(1 College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China;
2 Key Laboratory for Electric Drive Control and Intelligent Equipment of Hunan Province, Zhuzhou 412007, China)
 
    Abstract: In the research field of artificial intelligence, the implement method of intelligent control differs from one another. This paper concretely expounded the artificial intelligence, the brushless direct current (DC) motor speed control system and the fuzzy control, analyzed the research status and development prospect of the fuzzy control applied in the brushless DC motor speed control system and pointed out that there existed defects if depending on the experience selection of the fuzzy system parameters and rules. The only way was to combine with the advantages of different algorithm, made multiple algorithms supply with each other to construct a complete fuzzy intelligent control system, which provides the theoretical foundation for the complex problems of optimized control domain research.
    Key words: artificial intelligence; intelligent control; brushless direct current motor; fuzzy control; optimization
 
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