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感應(yīng)電動機伺服系統(tǒng)模糊神經(jīng)網(wǎng)絡(luò)滑?？刂?/div>
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    摘要:

    根據(jù)感應(yīng)電動機伺服驅(qū)動系統(tǒng)性能要求，設(shè)計了一種基于模糊神經(jīng)網(wǎng)絡(luò)的滑?？刂破?。當系統(tǒng)狀態(tài)進入滑動超平面后，測量滑?？刂频摹岸墩瘛敝笜?，將測量的指標值輸入到學(xué)習(xí)算法中，調(diào)整模糊神經(jīng)網(wǎng)絡(luò)的輸出以消除“抖振”現(xiàn)象,。該控制策略的仿真結(jié)果與實驗結(jié)果吻合,，控制器設(shè)計合理，“抖振”現(xiàn)象明顯減小,。

    Abstract:

    Considering the requirement of high performance of induction motor servo drive system, a sliding mode controller of induction motor drive system was developed based on fuzzy neural network. As the control system was in a state of hyper-plane sliding, the index of sliding mode control fluttering was investigated and input into the learning algorithm. Subsequently, the output of fuzzy neural network would be adjusted to reduce the fluttering. The analysis and the proposed method were verified by simulation and experiment. The results show that the simulation results agree well with the test results, the fluttering is reduced evidently, and the design of the sliding mode controller is rational. 

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王瑞明,劉青松,蔣靜坪.感應(yīng)電動機伺服系統(tǒng)模糊神經(jīng)網(wǎng)絡(luò)滑?？刂芠J].農(nóng)業(yè)機械學(xué)報,2008,39(7):169-172.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(7):169-172.

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