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永磁同步電機(jī)雙矢量模型預(yù)測(cè)電流控制

發(fā)布時(shí)間:2018-04-24 03:20

  本文選題:永磁同步電機(jī) + 雙矢量; 參考:《西安理工大學(xué)》2017年碩士論文


【摘要】:隨著永磁材料性能的提高和成本的降低,永磁同步電機(jī)(Permanent Magnet Syn-chronous Motors,PMSM)的應(yīng)用逐步擴(kuò)大。永磁同步電機(jī)傳統(tǒng)模型預(yù)測(cè)電流控制在每個(gè)采樣周期通過(guò)價(jià)值函數(shù)選擇出一個(gè)最優(yōu)電壓矢量作用下一個(gè)采樣周期,由于控制集的有限性,穩(wěn)態(tài)性能較差。為了提高系統(tǒng)的穩(wěn)態(tài)性能,占空比控制被引入到模型預(yù)測(cè)電流控制中,即在一個(gè)采樣周期中零電壓適量和有效電壓矢量同時(shí)作用,但是由于第二個(gè)電壓適量智能是零電壓矢量,在每個(gè)采樣周期中只能選擇六個(gè)固定方向上的電壓矢量,因此電流仍存在較大波動(dòng)。本文提出了一種雙適量模型預(yù)測(cè)電流控制方法,該方法在每一個(gè)采樣周期中進(jìn)行兩次電壓矢量選擇,可以在進(jìn)行第二次電壓適量選擇時(shí)選擇非零電壓適量,作用的電壓適量幅值和方向均可調(diào),并且在價(jià)值函數(shù)中考慮了作用時(shí)間對(duì)電壓矢兩選擇的影響,使得電壓矢量的選擇更加準(zhǔn)確。為了驗(yàn)證雙矢量模型預(yù)測(cè)電流控制方法的可行性與有效性,在MATLAB/Simulink和兩電平逆變器平臺(tái)分別進(jìn)行了仿真和實(shí)驗(yàn)驗(yàn)證。仿真和實(shí)驗(yàn)結(jié)果表明:雙矢量模型預(yù)測(cè)電流控制具有較好的參數(shù)魯棒性;在相同采樣頻率時(shí),與占空比模型預(yù)測(cè)電流控制相比,雙矢量模型預(yù)測(cè)電流控制可以在更大的矢量選擇范圍內(nèi)選擇更加準(zhǔn)確的電壓矢量,有效地提高了系統(tǒng)的穩(wěn)態(tài)性能,且在較寬的速度范圍內(nèi)都保持較小的電流波動(dòng);與采樣頻率為20kHz時(shí)的占空比模型預(yù)測(cè)電流控制相比,采樣頻率為10kHz時(shí)的雙矢量模型預(yù)測(cè)電流控制仍然具有較小的電流波動(dòng),且開(kāi)關(guān)頻率較低。
[Abstract]:With the improvement of permanent magnet material performance and the decrease of cost, the application of permanent Magnet Syn-chronous PMSM (permanent Magnet synchronous Motor) has been gradually expanded. The traditional model of permanent magnet synchronous motor (PMSM) predicts that current control selects an optimal voltage vector for each sampling period through value function. Due to the limitation of the control set, the steady-state performance of PMSM is poor. In order to improve the steady-state performance of the system, the duty cycle control is introduced into the model-predictive current control, that is, zero voltage moderate and effective voltage vector act simultaneously in a sampling period, but the second voltage moderate intelligence is zero voltage vector. In each sampling period, only six voltage vectors in fixed direction can be selected, so the current still fluctuates greatly. In this paper, a double-moderate model predictive current control method is proposed, in which the voltage vector is selected twice in each sampling period, and the non-zero voltage is chosen when the second voltage is suitable. The proper amplitude and direction of the voltage can be adjusted, and the effect of time on the choice of voltage vector is considered in the value function, which makes the selection of voltage vector more accurate. In order to verify the feasibility and effectiveness of the dual-vector model predictive current control method, the simulation and experimental results are carried out on the MATLAB/Simulink and two-level inverter platforms. The simulation and experimental results show that the dual vector model predictive current control has good parameter robustness, and at the same sampling frequency, compared with the duty cycle model predictive current control, The double vector model predicts that current control can select more accurate voltage vectors in a larger range of vector selection, effectively improve the steady-state performance of the system, and maintain a small current fluctuation in a wide range of speed. Compared with the duty cycle model predictive current control when the sampling frequency is 20kHz, the double vector model predictive current control with sampling frequency of 10kHz still has smaller current fluctuation and lower switching frequency.
【學(xué)位授予單位】:西安理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM341

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