博碩士論文 107521076 完整後設資料紀錄

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DC.contributor電機工程學系zh_TW
DC.creator林俊儒zh_TW
DC.creatorJyun-Ru Linen_US
dc.date.accessioned2020-8-13T07:39:07Z
dc.date.available2020-8-13T07:39:07Z
dc.date.issued2020
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=107521076
dc.contributor.department電機工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本文提出一具有每安培最大轉矩控制和弱磁控制的高效能內藏式永磁同步馬達驅動系統。由於內藏式永磁同步馬達的控制性能會因為溫度變化和磁飽和效應而非線性變化，因此提出一基於非對稱歸屬函數之派翠機率模糊類神經網路的智慧型每安培最大轉矩控制。本文詳細探討非對稱歸屬函數之派翠機率模糊類神經網路架構和如何訓練以得到內藏式永磁同步馬達的dq軸電感差值。首先，推導出可以實現內藏式永磁同步馬達的每安培最大轉矩控制的d軸電流命令。接著，透過非對稱歸屬函數之派翠機率模糊類神經網路獲得內藏式永磁同步馬達的dq軸電感差值，並將其代入每安培最大轉矩控制的d軸電流命令以減少磁飽和效應。此外，為弱磁控制設計了一個電壓控制迴路，該迴路在高速下可將變頻器輸出電壓限制在能夠輸出的最大電壓內。為使內藏式永磁同步馬達驅動系統在參數變化和外來干擾的影響下具備強健之控制性能，本文提出了適應性互補式滑動模式速度控制器以獲得更好的速度響應。最後，提出一些實驗結果以證明所提出的高效能控制策略的有效性。 　　本文亦發展一種基於小波多重解析度濾波器的共振頻率偵測架構，先獲取轉子速度誤差中共振頻率的特徵，接著利用設計之二階帶通濾波器掃頻找出內藏式永磁同步馬達驅動系統之共振頻率。實驗所使用之設備為應用德州儀器公司生產之浮點數數位訊號處理器TMS320F28075之內藏式永磁同步馬達驅動系統。zh_TW
dc.description.abstractA high-performance interior permanent magnet synchronous motor (IPMSM) drive system with maximum torque per ampere (MTPA) control and flux-weakening (FW) control is developed in this study. Since the control performance of IPMSM will vary nonlinearly owing to the temperature variation and magnetic saturation, an intelligent MTPA control based on a Petri probabilistic fuzzy neural network with an asymmetric membership function (PPFNN-AMF) is proposed. The network structure and the training of the PPFNN-AMF to obtain the difference value of the dq-axis inductances of the IPMSM will be discussed in detail. First, the d-axis current command which can achieve the MTPA control of the IPMSM will be derived. Then, the difference value of the dq-axis inductances of the IPMSM is obtained by the PPFNN-AMF and substituted into the d-axis current command of the MTPA to alleviate the saturation effect. Moreover, a voltage control loop, which can limit the inverter output voltage to the maximum output voltage of the inverter at high speed, is designed for the FW control. In order to make the IPMSM servo drive system have robust control performance under parameter variations and external disturbances, an adaptive complementary sliding mode (ACSM) speed controller is proposed in this study to obtain a better speed response. Finally, some experimental results are given to demonstrate the effectiveness of the proposed high-performance control strategies. A resonant-frequency detection scheme based on wavelet multiresolution filter is also developed in this study. Obtain the characteristic of the resonant-frequency among the rotor speed error first, and then use the designed second-order band-pass filter (BPF) to proceed frequency-sweeping to find the resonant-frequency of the IPMSM servo drive system. The equipment used in the experiment is an IPMSM servo drive system with the floating-point digital signal processor (DSP) TMS320F28075 produced by Texas Instruments.en_US
DC.subject內藏式永磁同步馬達zh_TW
DC.subject每安培最大轉矩控制zh_TW
DC.subject弱磁控制zh_TW
DC.subject非對稱歸屬函數之派翠機率模糊類神經網路zh_TW
DC.subject適應性互補式滑動模式控制zh_TW
DC.subject小波轉換zh_TW
DC.subject共振頻率偵測zh_TW
DC.subjectInterior permanent magnet synchronous motor (IPMSM)en_US
DC.subjectMaximum torque per ampere (MTPA) controlen_US
DC.subjectFlux-weakening (FW) controlen_US
DC.subjectPetri probabilistic fuzzy neural network with an asymmetric membership function (PPFNN-AMF)en_US
DC.subjectAdaptive complementary sliding mode (ACSM) controlen_US
DC.subjectWavelet transform (WT)en_US
DC.subjectResonant-frequency detectionen_US
DC.title應用於內藏式永磁同步馬達驅動系統之智慧型高效能控制及小波共振頻率偵測zh_TW
dc.language.isozh-TWzh-TW
DC.titleIntelligent High-Performance Control for IPMSM Drive System and Detection of Resonant-frequency with Waveleten_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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