Design and Implementation of Predictive Current Controllers for a Permanent Magnet Synchronous Motor Drive System with Duty Cycle Optimization

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簡歷

基本資料

Project title

Code/計畫編號

MOST107-2221-E019-040

Translated Name/計畫中文名

具有責任週期優化的永磁同步電動機驅動系統之預測電流控制器的設計與實現

Project Coordinator/計畫主持人

Cheng-Kai Lin

Funding Organization/主管機關

National Science and Technology Council

Department/Unit

Department of Electrical Engineering

Website

https://www.grb.gov.tw/search/planDetail?id=12675720

Year

2018

Start date/計畫起

01-08-2018

Expected Completion/計畫迄

31-07-2019

Bugetid/研究經費

862千元

ResearchField/研究領域

能源工程

在文獻中，可以發現到許多預測電流控制器已經成功地應用至永磁同步電動機。它們大多是基於模型的方法，其技術特點包括在一個取樣週期內施加一個電壓向量和固定的責任週期。這將降低了電流預測的準確度，由於固定的責任週期和有限個可使用的切換狀態數目(通常是7個)。為了突破上述技術特點，在所提二年期研究計畫中，將開發兩種具有責任週期優化的預測電流控制器。除此之外，在硬體電路方面也將有所升級。即，最新的TMS320F28379D雙核心Delfino微控制器將用於實現永磁同步電動機驅動系統的預測電流控制器，並進行公平和深入的性能比較。明確地，在第一年期間(民國107年8月1日至108年7月31日)，我們計畫開發一種具有責任週期優化的模型式預測電流控制器，它是基於永磁同步電動機的等效離散模型。接下來，在第二年期間(民國108年8月1日至109年7月31日)，一種具有責任週期優化的無模型式預測電流控制器將被開發，它是基於電流量測和電流差計算，而不需使用永磁同步電動機的等效離散模型。上述所提兩種預測電流控制器其技術特點都包括：(1)能在一個取樣週期內，依序施加二個不同的開關切換狀態；(2)所對應的二個責任週期是可被優化的。值得一提的是，相較於習知方法使用了7種可供選擇的開關切換狀態，所提出的方法其可供選擇的雙切換模式高達25種，這受惠於在一個取樣週期內二個不同開關切換狀態的排列與組合。另外，一種新的預測誤差修正技術將被提出以有效提升無模型式預測電流控制器的電流預測能力。最後，再次地強調具有雙核架構的微控制器TMS320F28379D將被採用以驗證兩個所提預測電流控制器的可行性與正確性。In literature, one can found that many predictive current controllers had been successfully applied to permanent magnet synchronous motors (PMSMs). Most of them are model-based methods, and their technical features including one voltage vector applied in one sampling period and the fixed duty cycle. This will reduce the accuracy of the current predictions due to the fixed duty cycle and the limited number of available switching states (usually seven). In order to break through the above technical features, two kinds of predictive current controllers with duty cycle optimizations will be developed in the proposed two-year research project. In addition, the hardware circuit will also be upgraded. That is, the latest TMS320F28379D dual-core DelfinoTM microcontroller will be used to implement the predictive current controllers for the PMSM drive system with fair and in-depth performance comparisons. Clearly, during the first year (August 1, 2018 to July 31, 2019), we plan to develop a model predictive current controller with duty cycle optimization, which is based on a discrete model of a PMSM. Next, during the second year (August 1, 2019 to July 31, 2020), a model-free predictive current controller (MFPCC) with duty cycle optimization will be developed that is based on current measurements and current difference calculations, without using the equivalent discrete model of a PMSM. The two predictive current controllers mentioned above all have the following technical features: 1) two different basic switching states can be sequentially applied in one sampling period, and 2) the corresponding two duty cycles can be optimized. It is worth mentioning that compared with the existing method using seven alternative switching states, the proposed ones have up to 25 alternative switching modes, benefiting from the permutations and combinations of two different switching states in one sampling period. In addition, a new prediction error correction technique will be proposed to effectively enhance the current predictive ability of the MFPCC. Finally, it is emphasized again that the TMS320F28379D microcontroller with dual-core architecture will be used to verify the feasibility and correctness of the two proposed predictive current controllers.

Keyword(s)

永磁同步電動機
責任週期優化
預測電流控制器
雙核心架構微控制器
permanent magnet synchronous motors
duty-cycle optimization
predictive current controller
dual-core architecture microcontroller

DSpace CRIS

Design and Implementation of Predictive Current Controllers for a Permanent Magnet Synchronous Motor Drive System with Duty Cycle Optimization

基本資料

Description