Rotor Excitation

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Zdenek Peroutka - One of the best experts on this subject based on the ideXlab platform.

  • IECON - Resolver motivated sensorless Rotor position estimation of wound Rotor synchronous motors with Kalman filter
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: David Uzel, Václav Šmídl, Zdenek Peroutka
    Abstract:

    This paper presents a novel estimation approach to sensorless control of wound Rotor synchronous motor drives. The proposed Rotor position estimation strategy is motivated by principle function of a resolver and utilizes design similarity between the controlled motor and the resolver based Rotor position sensor. The Rotor circuit is fed by controlled three-phase bridge rectifier which produces an ac component of frequency of 300Hz in the Rotor Excitation (flux) current. This ac component of Rotor Excitation current can be understood like an injection signal. Its response on the stator is evaluated by simplified Kalman filter which estimates the Rotor position. This paper describes physical principle and functionality of the proposed sensorless Rotor position estimation technique and verifies the theoretical foundations by simulation and experimental results made on developed drive prototype of rated power of 10kW.

  • Resolver motivated sensorless Rotor position estimation of wound Rotor synchronous motors
    2013 IEEE International Symposium on Industrial Electronics, 2013
    Co-Authors: David Uzel, Zdenek Peroutka
    Abstract:

    This paper presents a novel approach to sensorless control of wound Rotor synchronous motor drives. The proposed Rotor position estimation strategy is motivated by principle function of a resolver and utilizes design similarity between the controlled motor and the resolver based Rotor position sensor. The Rotor circuit is fed by controlled three-phase bridge rectifier which produces an ac component of frequency of 300Hz in the Rotor Excitation (flux) current. This ac component of Rotor Excitation current can be understood like an injection signal. Its response on the stator is evaluated by phase-lock-loop (PLL) which estimates the Rotor position. This paper describes physical principle and functionality of the proposed sensorless Rotor position estimation technique and verifies the theoretical foundations by simulation and experimental results made on developed drive prototype of rated power of 10kW.

  • Resolver motivated sensorless Rotor position estimation of wound Rotor synchronous motors with Kalman filter
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: David Uzel, Václav Šmídl, Zdenek Peroutka
    Abstract:

    This paper presents a novel estimation approach to sensorless control of wound Rotor synchronous motor drives. The proposed Rotor position estimation strategy is motivated by principle function of a resolver and utilizes design similarity between the controlled motor and the resolver based Rotor position sensor. The Rotor circuit is fed by controlled three-phase bridge rectifier which produces an ac component of frequency of 300Hz in the Rotor Excitation (flux) current. This ac component of Rotor Excitation current can be understood like an injection signal. Its response on the stator is evaluated by simplified Kalman filter which estimates the Rotor position. This paper describes physical principle and functionality of the proposed sensorless Rotor position estimation technique and verifies the theoretical foundations by simulation and experimental results made on developed drive prototype of rated power of 10kW.

J.a. Tegopoulos - One of the best experts on this subject based on the ideXlab platform.

Wen-lung Hung - One of the best experts on this subject based on the ideXlab platform.

  • Modeling and Dynamic Simulations of Doubly Fed Adjustable-Speed Pumped Storage Units
    IEEE Transactions on Energy Conversion, 2007
    Co-Authors: Jen-kuang Lung, Ying Lu, Wen-lung Hung
    Abstract:

    This paper derives the mathematical models of doubly fed adjustable-speed pumped storage units (DFASPSUs) to be utilized in the power system analysis. It adopts the improved induction machine model with ac Excitation on the wire-wound Rotor as well as the field-oriented control theory for the study and analysis of DFASPSU models. First, the Rotor Excitation voltage is separated into two components, i.e., the q-axis voltage and the d-axis voltage, so as to control the output active and reactive powers, respectively. Next, a dynamic model of DFASPSU is derived using the swing equation of rotary electric machine and the equation of motion of Rotor rotating mass. Finally, computer simulation is carried out to compare its results with practical examples in terms of dynamic characteristics for verifying the correctness of the proposed models.

David Uzel - One of the best experts on this subject based on the ideXlab platform.

  • IECON - Resolver motivated sensorless Rotor position estimation of wound Rotor synchronous motors with Kalman filter
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: David Uzel, Václav Šmídl, Zdenek Peroutka
    Abstract:

    This paper presents a novel estimation approach to sensorless control of wound Rotor synchronous motor drives. The proposed Rotor position estimation strategy is motivated by principle function of a resolver and utilizes design similarity between the controlled motor and the resolver based Rotor position sensor. The Rotor circuit is fed by controlled three-phase bridge rectifier which produces an ac component of frequency of 300Hz in the Rotor Excitation (flux) current. This ac component of Rotor Excitation current can be understood like an injection signal. Its response on the stator is evaluated by simplified Kalman filter which estimates the Rotor position. This paper describes physical principle and functionality of the proposed sensorless Rotor position estimation technique and verifies the theoretical foundations by simulation and experimental results made on developed drive prototype of rated power of 10kW.

  • Resolver motivated sensorless Rotor position estimation of wound Rotor synchronous motors
    2013 IEEE International Symposium on Industrial Electronics, 2013
    Co-Authors: David Uzel, Zdenek Peroutka
    Abstract:

    This paper presents a novel approach to sensorless control of wound Rotor synchronous motor drives. The proposed Rotor position estimation strategy is motivated by principle function of a resolver and utilizes design similarity between the controlled motor and the resolver based Rotor position sensor. The Rotor circuit is fed by controlled three-phase bridge rectifier which produces an ac component of frequency of 300Hz in the Rotor Excitation (flux) current. This ac component of Rotor Excitation current can be understood like an injection signal. Its response on the stator is evaluated by phase-lock-loop (PLL) which estimates the Rotor position. This paper describes physical principle and functionality of the proposed sensorless Rotor position estimation technique and verifies the theoretical foundations by simulation and experimental results made on developed drive prototype of rated power of 10kW.

  • Resolver motivated sensorless Rotor position estimation of wound Rotor synchronous motors with Kalman filter
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: David Uzel, Václav Šmídl, Zdenek Peroutka
    Abstract:

    This paper presents a novel estimation approach to sensorless control of wound Rotor synchronous motor drives. The proposed Rotor position estimation strategy is motivated by principle function of a resolver and utilizes design similarity between the controlled motor and the resolver based Rotor position sensor. The Rotor circuit is fed by controlled three-phase bridge rectifier which produces an ac component of frequency of 300Hz in the Rotor Excitation (flux) current. This ac component of Rotor Excitation current can be understood like an injection signal. Its response on the stator is evaluated by simplified Kalman filter which estimates the Rotor position. This paper describes physical principle and functionality of the proposed sensorless Rotor position estimation technique and verifies the theoretical foundations by simulation and experimental results made on developed drive prototype of rated power of 10kW.

Wan Shuting - One of the best experts on this subject based on the ideXlab platform.

  • A New Method of Turbine-Generator Vibration Fault Diagnosis Based on Correlation
    2020
    Co-Authors: Wan Shuting, Xu Zhaofeng
    Abstract:

    Abslracf: This paper analyzes generator stator vibration frequency spectrum characteristic and correlation dimension characteristic based on phase space reconstruction of fractal theory, when generator is in three conditions of normal operation, Rotor Excitation winding short circuit and stator winding fault. The results show that Rotor Excitation winding short circuit and stator winding fault have resemble stator vibration frequency spdctrum, but three conditions have different correlation dimension. So a new method of generator vibration fault diagnosis based on correlation dimension and artificial neural network (ANN) is proposed, which selects the stator vibration correlation dimension for the input vector of ANN, and practically acquired MJF-30-6 generator data for learning samples. The results of verification show that the method can identify efliciently three generator conditions.

  • A new method of turbine-generator vibration fault diagnosis based on correlation dimension and ANN
    Proceedings. International Conference on Power System Technology, 2002
    Co-Authors: Wan Shuting, Li Heming, Xu Zhaofeng
    Abstract:

    This paper analyzes generator stator vibration frequency spectrum characteristic and correlation dimension characteristic based on phase space reconstruction of fractal theory, when generator is in three conditions of normal operation, Rotor Excitation winding short circuit and stator winding fault. The results show that Rotor Excitation winding short circuit and stator winding fault resemble stator vibration frequency spectrum, but three conditions have a different correlation dimension. So a new method of generator vibration fault diagnosis based on correlation dimension and artificial neural network (ANN) is proposed, which selects the stator vibration correlation dimension for the input vector of ANN, and practically acquired MJF-30-6 generator data for learning samples. The results of verification show that the method can identify efficiently three generator conditions.

  • Adaptive radial basis function network and its application in turbine-generator vibration fault diagnosis
    Proceedings. International Conference on Power System Technology, 2002
    Co-Authors: Wan Shuting, Li Heming, Li Yonggang
    Abstract:

    The radial basis function network (RBFN) is one of artificial neural networks (ANNs) applied widely. A new adaptive RBFN algorithm, named the two level iteration cluster algorithm, is put forward, which can calculate automatically RBFN parameters with samples, and overcomes the conventional algorithm's shortcoming where the hidden layer neuron number must be given in advance. In addition, a new generator vibration fault diagnosis method based on a stator and Rotor vibration spectrum eigenvector is presented. Using practically acquired MJF-30-6 generator vibration data in three conditions of normal operation, Rotor Excitation winding short circuit and stator winding fault, the results of verification show that the method has higher diagnosis precision than the conventional method based on Rotor vibration spectrum eigenvector.