模糊神經(jīng)網(wǎng)絡(luò)在直接轉(zhuǎn)矩控制系統(tǒng)中的應(yīng)用

本文針對(duì)基于直接轉(zhuǎn)矩控制的異步電動(dòng)機(jī)運(yùn)行時(shí)存在較大的電流及轉(zhuǎn)矩脈動(dòng)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(cè)器，并引入模糊控制算法，用較 少的模糊規(guī)則實(shí)現(xiàn)磁鏈誤差、轉(zhuǎn)矩誤差和磁鏈角對(duì)逆變器開關(guān)狀態(tài)的控制，并通過(guò)仿真實(shí)驗(yàn) 驗(yàn)證了該設(shè)計(jì)的有效性，實(shí)驗(yàn)結(jié)果表明該調(diào)速系統(tǒng)具有良好的動(dòng)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(dòng)機(jī)
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