轉(zhuǎn)矩脈動是開關(guān)磁阻電動機較為突出的缺點,出于電機設(shè)計和控制的目的,常需要實時在線測量電機的動態(tài)轉(zhuǎn)矩,采用轉(zhuǎn)矩
傳感器的方法既復(fù)雜、昂貴,在高速下又不準確。利用一種新型變結(jié)構(gòu)模糊神經(jīng)網(wǎng)絡(luò)對開關(guān)磁阻電動機轉(zhuǎn)矩特性進行學習,之后把它用于動態(tài)轉(zhuǎn)矩的實時在線測量。仿真與試驗結(jié)果表明此方法能夠快速、準確的測量開關(guān)磁阻電機動態(tài)轉(zhuǎn)矩。
關(guān)鍵詞　開關(guān)磁阻電動機　轉(zhuǎn)矩脈動　測量　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