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FPGAを用いた永久磁石同期電動機駆動速度制御の開発：従来手法，現代手法及び複合制御
https://doi.org/10.18997/00008352
https://doi.org/10.18997/000083522fe07abe-bc1b-4c58-9762-2fe692ca342b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
sei_k_391.pdf (6.6 MB)
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| アイテムタイプ | 学位論文 = Thesis or Dissertation(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2021-06-09 | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| タイトル | ||||||||
| タイトル | An Investigation on Speed Control of Permanent Magnet Synchronous Motor Drives Using FPGA: Conventional, Modern and Hybrid Control | |||||||
| 言語 | en | |||||||
| タイトル | ||||||||
| タイトル | FPGAを用いた永久磁石同期電動機駆動速度制御の開発：従来手法，現代手法及び複合制御 | |||||||
| 言語 | ja | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 著者 |
Mishra, Ipsita
× Mishra, Ipsita
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | The permanent magnet synchronous motor （PMSM） has a key role to play in the motor drive system due its high efficiency, high torque to weight ratio, high power density, small size, less noise and lower rotor inertia. Moreover due to the lower maintenance cost and high reliability these motors has applications in low power range such as robotics, actuators and machine tools, as well as in high power range such as industrial drive, hybrid vehicle, and traction. Therefore depending upon the specific applications an appropriate controller is always requisite to achieve the desired accuracy in the motor performances. The control strategy such as field oriented control （FOC） has implemented for the industrial drive applications due to their simple structure and robustness. This control strategy utilizes cascaded proportional and integral （PI） controller for the outer speed controller and inner current controller loop, consequently it may leads to the sluggish behavior of motor drive system. The model predictive control （MPC） as an advance control method has acquired considerable attention for the control of the PMSM drive system. Amongst the various MPC the finite set model predictive control （FS-MPC） accounts discrete nature of the power converter with finite number of the switching states. A discrete motor model, a predictive model and a cost function for the selection of the optimized voltage vector for the power converter are the key steps required for the implementation of MPC control algorithm. By minimizing the cost function, the motor will reach the desired behavior defined by the function that compares the output of the predictive model with a reference. The Implementation of the MPC for the motor drive system increases the system complexity, therefore the real time implementation of the control is difficult to ensure in the sequential based digital signal processing （DSPs）. Recently, due to the parallel processing nature and low power consumption the field programmable gate array （FPGA） is an alternative for the implementation of the complex systems. However the FPGA based time-synchronization of control loop is a vital aspect concerning sampling time for discrete-time controller. The control loop of the motor drive system consisting of a speed controller and a current controller （PI based or MPC based）. Time constant of the speed controller is different as to the current controller. In general, the sampling rate of the motor speed data is slower as compared to that of the sampling rate of the motor current data. As the control loops operates at different data sampling rate, the impact of time synchronization between these controllers is a crucial concern considering the transient conditions. In this work an FPGA based design and development of PMSM drive system considering the impact of time-synchronization for feedback control loop is considered. The dynamic response of FS-MPC is one of the major factors that stands out amongst the controller family. Nevertheless, the motor speed regulation required additional control and generally a conventional PI controller is used. In this work, a two-degree-of-freedom （2-DoF） control strategy is considered to enhance the dynamic performance of motor speed regulation. The 2-DoF control design is consisting of a conventional PI controller and an additional proportional gain as a feedforward loop. The 2-DoF control along with FS-MPC is employed for the PMSM drive system. The FS-MPC exploits the advantages such as high dynamic response and flexibility. However, the spread spectrum due to variable switching frequency of FS-MPC is the main drawback associated with it which leads to the filter and thermal designing more difficult. In this work, a predictive control strategy with fixed switching frequency is proposed. A discrete adaptive based hysteresis current control （DAHCC） is combined with the basic FS-MPC as current controller to achieve constant switching frequency. The FPGA based implementation has disadvantage of the lacking the flexibility to change the system parameter. In this work, a python development environment on Xilinx Zynq device is considered for the online parameter optimization. Xilinx system generator （XSG） as a digital simulator that is an integrated platform with MATLAB/Simulink is used for the designing and implementation of the controller algorithm. | |||||||
| 目次 | ||||||||
| 内容記述タイプ | TableOfContents | |||||||
| 内容記述 | 1 Introduction||2 FPGA-Based Development Platform and HIL Simulation||3 Conventional PMSM Drive: Field Oriented Control||4 Modern PMSM Drive: Finite Set Model Predictive Control||5 Advance PMSM Drive, Hybrid Control: 2dof-Fsmpc, DAHCC-FSMPC||6 Conclusions and Future Work | |||||||
| 備考 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 九州工業大学博士学位論文 学位記番号：生工博甲第391号 学位授与年月日：令和3年3月25日 | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | FOC | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | FS-MPC | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | FPGA | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | HIL | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | PMSM | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | XSG | |||||||
| アドバイザー | ||||||||
| 花本, 剛士 | ||||||||
| 学位授与番号 | ||||||||
| 学位授与番号 | 甲第391号 | |||||||
| 学位名 | ||||||||
| 学位名 | 博士（工学） | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2021-03-25 | |||||||
| 学位授与機関 | ||||||||
| 学位授与機関識別子Scheme | kakenhi | |||||||
| 学位授与機関識別子 | 17104 | |||||||
| 学位授与機関名 | 九州工業大学 | |||||||
| 学位授与年度 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 令和2年度 | |||||||
| 出版タイプ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| ID登録 | ||||||||
| ID登録 | 10.18997/00008352 | |||||||
| ID登録タイプ | JaLC | |||||||
