本文選題：永磁同步電機 + 無傳感器　； 參考：《河南理工大學(xué)》2014年碩士論文

【摘要】：電機驅(qū)動系統(tǒng)在現(xiàn)代工業(yè)生產(chǎn)中具有重要地位,其正朝著高精度、寬調(diào)速范圍、高速方向發(fā)展。目前,鑒于永磁同步電機結(jié)構(gòu)簡單、體積小、損耗小、調(diào)速性能好、功率密度高和可靠性高等優(yōu)點,其逐步發(fā)展為電機驅(qū)動系統(tǒng)中的主流電機。帶有位置或速度傳感器的電機驅(qū)動系統(tǒng)不僅增加成本,降低可靠性,而且對使用環(huán)境也有嚴(yán)格要求,限制了電機的使用范圍,因此永磁同步電機無傳感器控制逐漸成為研究的熱點。本文主要研究基于衰減因子和補償函數(shù)的降階擴展卡爾曼濾波算法的永磁同步電機無傳感器控制。鑒于擴展卡爾曼濾波算法存在運算量大,實時性差等問題,提出降階擴展卡爾曼濾波算法,通過適當(dāng)選取狀態(tài)變量,將狀態(tài)轉(zhuǎn)移矩陣降為三階矩陣,簡化濾波器結(jié)構(gòu),提高運算速度;結(jié)合衰減記憶濾波法選取衰減因子,有效提高電機估計轉(zhuǎn)速跟蹤實際轉(zhuǎn)速的快速性,進(jìn)一步改善該算法的跟蹤性能;對估計轉(zhuǎn)角進(jìn)行轉(zhuǎn)速和電流補償,提高轉(zhuǎn)角估計的精度。最后搭建該控制系統(tǒng)模型和S函數(shù),并驗證結(jié)合衰減記憶濾波法和補償函數(shù)的降階擴展卡爾曼濾波算法在該控制系統(tǒng)中的可行性和有效性,通過仿真試驗結(jié)果可知,系統(tǒng)最佳衰減因子為s=1.01。
[Abstract]:Motor drive system plays an important role in modern industrial production. It is developing towards high precision, wide speed range and high speed. At present, permanent magnet synchronous motor (PMSM) has been developed into the mainstream motor in motor drive system because of its simple structure, small volume, small loss, good speed regulation performance, high power density and high reliability. The motor drive system with position or speed sensor not only increases the cost and reduces the reliability, but also has strict requirements for the operating environment, which limits the range of use of the motor. Therefore, sensorless control of permanent magnet synchronous motor (PMSM) has gradually become a hot research topic. This paper focuses on sensorless control of PMSM based on reduced order extended Kalman filter algorithm based on attenuation factor and compensation function. In view of the problems of large computation and poor real-time performance in the extended Kalman filter algorithm, a reduced order extended Kalman filter algorithm is proposed. By properly selecting state variables, the state transfer matrix is reduced to the third order matrix, and the filter structure is simplified. Improve the speed of operation, select attenuation factor with the method of attenuated memory filter, effectively improve the speed of the motor speed tracking, further improve the tracking performance of the algorithm, and compensate the speed and current of the estimated rotation angle. Improve the accuracy of angle estimation. Finally, the model and S function of the control system are built, and the feasibility and effectiveness of the reduced order extended Kalman filter algorithm combined with the attenuated memory filter and the compensation function in the control system are verified. The optimum attenuation factor of the system is sl. 01.
【學(xué)位授予單位】：河南理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM341

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本文編號：1881652