本文針對基于直接轉(zhuǎn)矩控制的異步電動機運行時存在較大的電流及轉(zhuǎn)矩脈動問題，
提出了利用神經(jīng)網(wǎng)絡(luò)建立直接轉(zhuǎn)矩控制系統(tǒng)的定子磁鏈觀測器，并引入模糊控制算法，用較 少的模糊規(guī)則實現(xiàn)磁鏈誤差、轉(zhuǎn)矩誤差和磁鏈角對逆變器開關(guān)狀態(tài)的控制，并通過仿真實驗 驗證了該設(shè)計的有效性，實驗結(jié)果表明該調(diào)速系統(tǒng)具有良好的動態(tài)性能和穩(wěn)態(tài)性能。
關(guān)鍵詞: 直接轉(zhuǎn)矩控制；模糊控制；神經(jīng)網(wǎng)絡(luò)；異步電動機
Abstract: Aiming at the problem of great current and torque ripple of the asynchronous motor
based on direct torque control when it is running, this paper uses neural network to form stator flux linkage observer in the direct torque control system. After introducing fuzzy control algorithm, flux-linkage error, torque error and flux linkage angel are adopted to control the state selector of inverter by fewer fuzzy rules. The simulation results demonstrate that the realization of the system is effective, the speed regulating system has good dynamic performance and steady performance.
Keywords: direct torque control, fuzzy control, neural network, asynchronous motor