轉(zhuǎn)矩脈動(dòng)是開(kāi)關(guān)磁阻電動(dòng)機(jī)較為突出的缺點(diǎn),出于電機(jī)設(shè)計(jì)和控制的目的,常需要實(shí)時(shí)在線測(cè)量電機(jī)的動(dòng)態(tài)轉(zhuǎn)矩,采用轉(zhuǎn)矩
傳感器的方法既復(fù)雜、昂貴,在高速下又不準(zhǔn)確。利用一種新型變結(jié)構(gòu)模糊神經(jīng)網(wǎng)絡(luò)對(duì)開(kāi)關(guān)磁阻電動(dòng)機(jī)轉(zhuǎn)矩特性進(jìn)行學(xué)習(xí),之后把它用于動(dòng)態(tài)轉(zhuǎn)矩的實(shí)時(shí)在線測(cè)量。仿真與試驗(yàn)結(jié)果表明此方法能夠快速、準(zhǔn)確的測(cè)量開(kāi)關(guān)磁阻電機(jī)動(dòng)態(tài)轉(zhuǎn)矩。
關(guān)鍵詞　開(kāi)關(guān)磁阻電動(dòng)機(jī)　轉(zhuǎn)矩脈動(dòng)　測(cè)量　模糊神經(jīng)網(wǎng)絡(luò)
Abstract 　Switched reluctance motor (SRM) produces excessive vibration and torque ripple in low speed area1So the realtime and online measurement of SRM’s torque is required for cont rol and design purpose1However ,the measure2 ment method which using torque t ransducer is complex ,expensive and inaccurate1This paper uses a novel Fuzzy2neu2
ral networks(FNN) to approximate the nonlinear torque characteristics of SRMs as a function of position and current , and then the FNN is applied to online measurement of SRM’s torque1The simulation and experiment result s illust rate the validity of the proposed method1
Key words 　Switched reluctance motor 　Torque ripple 　Measurement 　Fuzzy2neural network