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Urasaki, Naomitsu,Senjyu, Tomonobu,Uezato, Katsumi The Korean Institute of Power Electronics 2003 JOURNAL OF POWER ELECTRONICS Vol.3 No.1
This paper presents parameter measurement for permanent magnet synchronous motors based on the P-Q circle diagram. Three electrical parameters of permanent magnet synchronous motors, i.e., the equivalent iron loss resistance, armature inductance, and electrical motive force (emf) coefficient are simultaneously measured. The advantages of this method are that it can be implemented under constant excitation and it dispenses with the generating test for the emf coefficient. The proposed method is applied to a 160w permanent magnet synchronous motor, and then the measurement results are analyzed.
High Efficiency Drive Technique for Synchronous Reluctance Motors Using a Neural Network
Urasaki Naomitsu,Senjyu Tomonobu The Korean Institute of Power Electronics 2006 JOURNAL OF POWER ELECTRONICS Vol.6 No.4
A high efficiency drive technique for synchronous reluctance motors (SynRM) using a neural network (NN) is presented in this paper. High efficiency drive condition depends on the mathematical model of SynRM. A NN is employed as an adaptive model of SynRM. The proposed high efficiency drive technique does not require an accurate mathematical model of SynRM. Moreover, the proposed method shows robustness against machine parameter variations because the training algorithm of the NN is executed on-line. The usefulness of the proposed method is confirmed through experimentation.
Self-Commissioning for Surface-Mounted Permanent Magnet Synchronous Motors
Urasaki, Naomitsu,Senjyu, Tomonobu,Uezato, Katsumi The Korean Institute of Power Electronics 2003 JOURNAL OF POWER ELECTRONICS Vol.3 No.1
This paper presents the self-commissioning for surface-mounted permanent magnet synchronous motor. The proposed strategy executes three tests with a vector controlled inverter drive system. To do this, synchronous d-q axes currents are appropriately controlled for each test. From the three tests, armature resistance, armature inductance, equivalent iron loss resistance, and emf coefficient are identified automatically. The validity of the proposed strategy is confirmed by experimental results.
Urasaki Naomitsu,Senjyu Tomonobu,Funabashi Toshihisa,Sekine Hideomi The Korean Institute of Power Electronics 2006 JOURNAL OF POWER ELECTRONICS Vol.6 No.4
This paper presents a neural network based adaptive dead-time compensation strategy for an inverter fed permanent magnet synchronous motor drive. The neural network is used for identifying the dead-time compensation time (DTCT) that includes an equivalent dead-time, turn-on/off time and on-state voltage components of the voltage source inverter. In order to train the neural network, desired DTCTs for eight operating points are prepared as training data. The trained neural network can identify a desired DTCT for any operating point because it has the capability of the interpolation. The accuracy of the identified DTCT is experimentally confirmed by comparing the calculated active power with a measured one.
Naomitsu Urasaki,Tomonobu Senjyu,Toshihisa Funabashi,Hideomi Sekine 전력전자학회 2006 JOURNAL OF POWER ELECTRONICS Vol.6 No.4
This paper presents a neural network based adaptive dead-time compensation strategy for an inverter fed permanent magnet synchronous motor drive. The neural network is used for identifying the dead-time compensation time (DTCT) that includes an equivalent dead-time, turn-on/off time and on-state voltage components of the voltage source inverter. In order to train the neural network, desired DTCTs for eight operating points are prepared as training data. The trained neural network can identify a desired DTCT for any operating point because it has the capability of the interpolation. The accuracy of the identified DTCT is experimentally confirmed by comparing the calculated active power with a measured one.
Self-Commissioning for Surface-Mounted Permanent Magnet Synchronous Motors
Naomitsu Urasaki,Tomonobu Senjyu,Katsumi Uezato 전력전자학회 2003 JOURNAL OF POWER ELECTRONICS Vol.3 No.1
This paper presents the self-commissioning for surface-mounted permanent magnet synchronous motor. The proposed strategy executes three tests with a vector controlled inverter drive system To do this, synchronous d-q axes currents are appropriately controlled for each test. From the three tests, armature resistance, armature inductance, equivalent iron loss resistance, and emf coefficient are identified automatically. The validity of the proposed strategy is confirmed by experimental results.<br/>
Self-Commissioning for Surface-Mounted Permanent Magnet Synchronous Motors
Naomitsu Urasaki,Tomonobu Senjyu,Katsumi Uezato 전력전자학회 2001 ICPE(ISPE)논문집 Vol.2001 No.10
This paper presents the self-commissioning for surface-mounted permanent magnet synchronous motor The proposed strategy executes three tests with a standard inverter drive system To do this, synchronous d-q axes cur-lents are appropriately controlled for each test From the three tests, armature resistance, armature inductance, e-qutvalent iron loss resistance, and emf coefficient are identified automatically The validity of the proposed strategy is confirmed by experimental results.
Naomitsu Urasaki,Tomonobu Senjyu,Katsumi Uezato 전력전자학회 2003 JOURNAL OF POWER ELECTRONICS Vol.3 No.1
This paper presents parameter measurement for permanent magnet synchronous motors based on the P-Q circle diagram.<br/> Three electrical parameters of permanent magnet synchronous motors, ie , the equivalent iron loss resistance, armature inductance, and electrical motive force (emf) coefficient are simultaneously measured The advantages of this method are that it can be implemented under constant excitation and it dispenses with the generating test for the emf coefficient The proposed method is applied to a 160W permanent magnet synchronous motor, and then the measurement results are analyzed<br/>
High Efficiency Drive Technique for Synchronous Reluctance Motors Using a Neural Network
Naomitsu Urasaki,Tomonobu Senjyu 전력전자학회 2006 JOURNAL OF POWER ELECTRONICS Vol.6 No.4
A high efficiency drive technique for synchronous reluctance motors (SynRM) using a neural network (NN) is presented in this paper. High efficiency drive condition depends on the mathematical model of SynRM. A NN is employed as an adaptive model of SynRM. The proposed high efficiency drive technique does not require an accurate mathematical model of SynRM. Moreover, the proposed method shows robustness against machine parameter variations because the training algorithm of the NN is executed on-line. The usefulness of the proposed method is confirmed through experimentation.
Optimal PAM Control for a Buck Boost DC-DC Converter with a Wide-Speed-Range of Operation for a PMSM
Howlader, Abdul Motin,Urasaki, Naomitsu,Senjyu, Tomonobu,Yona, Atsushi,Saber, Ahmed Yousuf The Korean Institute of Power Electronics 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.5
A pulse width modulation-voltage source inverter (PWM-VSI) is used for variable speed permanent magnet synchronous motor (PMSM) drives. The PWM-VSI fed PMSM has two major disadvantages. Firstly, the PWM-VSI DC-link voltage limits the magnitude of the PMSM terminal voltage. As a result, the motor speed is restricted. Secondly, in a low speed range, the PWM-VSI modulation index declines. This is caused by a high DC-link voltage and a low terminal voltage ratio. As a result, the distortion of the voltage command and the stator current are increased. This paper proposes an optimal pulse amplitude modulation (PAM) control which can adjust the inverter DC-link voltage by using a buck-boost DC-DC converter. At a low speed range, the proposed system can reduce the distortion of the voltage command, which improves the stator current waveform. Also, the allowable speed range is extended. In order to verify the proposed method, experimental results are provided to confirm the simulation results.