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SPMSM低成本轉(zhuǎn)子位置檢測(cè)及無(wú)傳感器控制的研究

發(fā)布時(shí)間:2018-07-03 01:58

  本文選題:表貼式永磁同步電機(jī) + 轉(zhuǎn)子位置。 參考:《哈爾濱工業(yè)大學(xué)》2017年碩士論文


【摘要】:永磁同步電機(jī)憑借出色的性能及簡(jiǎn)單的結(jié)構(gòu),被廣泛應(yīng)用在各個(gè)領(lǐng)域。在閉環(huán)控制永磁電機(jī)過(guò)程中,需要知悉電機(jī)轉(zhuǎn)子位置,為降低成本并提高可靠性,使用開(kāi)關(guān)型霍爾位置傳感器檢測(cè)轉(zhuǎn)子位置。由于傳感器分辨率低,需要對(duì)霍爾位置信號(hào)進(jìn)行線性化。無(wú)位置傳感器控制得到了極大的發(fā)展,不過(guò)表貼式永磁同步電機(jī)為隱極電機(jī),在零速及低速無(wú)位置傳感器控制方面難度較大。本文就上述問(wèn)題展開(kāi)關(guān)于低成本永磁同步電機(jī)控制的研究。論文實(shí)現(xiàn)了三相對(duì)稱(chēng)安裝的開(kāi)關(guān)型霍爾位置傳感器安裝偏移角的自學(xué)習(xí)。在此基礎(chǔ)上,使用霍爾位置傳感器所獲取的轉(zhuǎn)子位置進(jìn)行磁場(chǎng)定向控制。使用零階算法與一階算法對(duì)離散的開(kāi)關(guān)型霍爾信號(hào)進(jìn)行線性化,為了對(duì)轉(zhuǎn)子位置進(jìn)一步優(yōu)化,使用觀測(cè)器進(jìn)行角度矯正。實(shí)驗(yàn)結(jié)果表明,算法提高了繞組電流的正弦度,額定負(fù)載下,電流THD由2.73%下降至1.61%。對(duì)比三種控制算法下電機(jī)的起動(dòng)性能,發(fā)現(xiàn)方波起動(dòng)方式下電機(jī)起動(dòng)轉(zhuǎn)矩最大。對(duì)無(wú)位置傳感器控制方法進(jìn)行研究,作為位置傳感器故障時(shí)的控制方式。當(dāng)電機(jī)轉(zhuǎn)速為零速或低速時(shí),使用脈振電壓注入法估測(cè)表貼式永磁同步電機(jī)電機(jī)轉(zhuǎn)子位置,在使用鎖相環(huán)進(jìn)行誤差處理的算法基礎(chǔ)上,使用魯棒性觀測(cè)器進(jìn)行算法改進(jìn)。通過(guò)數(shù)學(xué)推導(dǎo)與計(jì)算確定魯棒性觀測(cè)器系數(shù),利用仿真與實(shí)驗(yàn)進(jìn)行算法驗(yàn)證,觀測(cè)器法比鎖相環(huán)算法收斂時(shí)間明顯縮短,從0.5s減小至10ms。當(dāng)電機(jī)在中高轉(zhuǎn)速運(yùn)行情況下,使用滑模觀測(cè)器估測(cè)轉(zhuǎn)子位置。將滑模理論與電機(jī)數(shù)學(xué)模型相結(jié)合,設(shè)計(jì)滑模平面。利用仿真進(jìn)行算法驗(yàn)證,并在實(shí)驗(yàn)平臺(tái)上進(jìn)行算法實(shí)驗(yàn)測(cè)試。上述算法實(shí)驗(yàn)都取得了較好地實(shí)驗(yàn)結(jié)果。
[Abstract]:Permanent magnet synchronous motor (PMSM) is widely used in various fields because of its excellent performance and simple structure. In the process of closed-loop control of permanent magnet motor, it is necessary to know the rotor position of the motor. In order to reduce the cost and improve the reliability, the switch Hall position sensor is used to detect the rotor position. Because of the low resolution of the sensor, it is necessary to linearize the Hall position signal. Position sensorless control has been greatly developed, but the surface permanent magnet synchronous motor is a hidden pole motor, which is difficult in zero speed and low speed sensorless control. In this paper, the control of low-cost permanent magnet synchronous motor (PMSM) is studied. In this paper, the self-learning of the offset angle of the switch hall position sensor with three-phase symmetrical installation is realized. On this basis, the rotor position obtained by Hall position sensor is controlled by magnetic field orientation. The zero order algorithm and the first order algorithm are used to linearize the discrete switched Hall signal. In order to further optimize the rotor position, the observer is used to correct the angle. The experimental results show that the sinusoidal degree of winding current is improved and the current THD decreases from 2.73% to 1.61g under rated load. By comparing the starting performance of the motor with three control algorithms, it is found that the starting torque of the motor is the largest in the square wave starting mode. The control method of sensorless position sensor is studied as the control method of position sensor fault. When the speed of motor is zero speed or low speed, the rotor position of permanent magnet synchronous motor (PMSM) is estimated by pulse voltage injection method. Based on the error processing algorithm using PLL, robust observer is used to improve the algorithm. The robust observer coefficient is determined by mathematical derivation and calculation. The algorithm is verified by simulation and experiment. The convergence time of the observer method is significantly shorter than that of the phase-locked loop algorithm, from 0.5 s to 10 Ms. When the motor is running at medium and high speed, the rotor position is estimated by sliding mode observer. The sliding mode plane is designed by combining the sliding mode theory with the mathematical model of the motor. The algorithm is verified by simulation and tested on the experimental platform. The experimental results of the above algorithms are satisfactory.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TM341

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