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Shaft Transducerless Vector Control Of The Interior Permanent Magnet Motor With Speed And Position Estimation Using High Frequency Signal Injection And Flux Observer MethodsGoksu, Omer 01 May 2008 (has links) (PDF)
In this thesis, shaft transducerless vector control of Interior Permanent Magnet (IPM) motor with speed and position estimation using saliency based high frequency signal injection and fundamental model based flux observer methods will be investigated. The magnetic saliency characteristic of a 2.2-kW IPM motor will be experimentally extracted by means of high frequency signal injection. High frequency signal injection method will be used to estimate the speed and position at zero and low speed based on the magnetic saliency of the IPM motor. At high speed, fundamental model based flux observer method will be utilized for speed and position estimation. Seamless transition between the two estimation methods will be provided. Using the estimated speed and position information, the motor will be closed loop vector controlled and the drive motion performance over wide speed and load range will be investigated. The IPM motor drive and the estimation/control algorithms will be modeled and their performance will be demonstrated by detailed computer simulations. A three-phase voltage source inverter and a motor test bench will be built, and the estimation/control algorithms will be implemented on a DSP based motor control platform. The IPM motor drive system will be tested in the laboratory and the theory and simulation results will be verified by the experiments.
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異常渦電流損を考慮したモータの鉄損予測手法に関する研究 / イジョウ ウズデンリュウソン オ コウリョ シタ モータ ノ テッソン ヨソク シュホウ ニカンスル ケンキュウ吉岡 卓哉, Takuya Yoshioka 22 March 2020 (has links)
近年、自動車の電動化が加速しており、車両駆動を担うモータのさらなる効率向上が求められている。高効率モータ設計に向けて、主な損失の1つである鉄損予測の精度向上が求められている。本論文では、鉄損を構成する各種損失の中から、実用的なモデル化手法が確立していない、異常渦電流損に関して、磁気測定から影響を与える諸因子を検討した。また、得られた知見に基づき、モータ鉄損予測にあたり、実用的なモデルを開発した。 / In recent years, electrification of automobiles has accelerated, and further improvement in efficiency of motors that drive the vehicles is required. For high-efficiency motor design, it is important to improve the accuracy of iron loss estimation, which is one of the main losses in the motor. In this paper, we investigated influencing factors of excess loss, which is one element that consists iron loss and has not been established as practical estimating modeling, from the magnetic measurement. In addition, based on the obtained knowledge, a practical model was developed for motor iron loss estimation. / 博士(工学) / Doctor of Philosophy in Engineering / 同志社大学 / Doshisha University
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