The Experts below are selected from a list of 3183 Experts worldwide ranked by ideXlab platform

Katsumi Uezato - One of the best experts on this subject based on the ideXlab platform.

  • Sensorless vector control of synchronous reluctance motors with Disturbance Torque observer
    Industrial Electronics IEEE Transactions on, 2001
    Co-Authors: Tomonobu Senjyu, Takeshi Shingaki, Katsumi Uezato
    Abstract:

    The elimination of the position sensor has been one important requirement in vector control systems because the position sensor spoils the reliability and simplicity of drive systems. Therefore, we present a sensorless vector control technique for synchronous reluctance motors. The rotor position is calculated easily from ds-qs-axes flux linkages which are estimated with a first-order lag compensator. Furthermore, utilizing estimated rotor position as the input of the full-order observer, the rotor speed and Disturbance Torque are estimated. The proposed sensorless vector control scheme is demonstrated with experimental results

  • Sensorless vector control of synchronous reluctance motors with Disturbance Torque observer
    APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058), 2000
    Co-Authors: Tomonobu Senjyu, Takeshi Shingaki, Katsumi Uezato
    Abstract:

    This paper presents a sensorless vector control technique for synchronous reluctance motors. The rotor position is calculated easily from ds-qs axes flux linkages which are estimated with a first-order lag compensator. Furthermore, utilizing estimated rotor position as the input of the full-order observer, the rotor speed and Disturbance Torque are estimated. The proposed sensorless vector control scheme is demonstrated with experimental results.

  • Robust position control of DC servomotors using adaptive gain law
    PESC Record. 27th Annual IEEE Power Electronics Specialists Conference, 1996
    Co-Authors: Tomonobu Senjyu, S. Ashimine, Katsumi Uezato
    Abstract:

    In position control for DC servomotors using an equivalent Disturbance Torque observer and a speed observer, the position control ability of DC servomotors is affected by the observers' estimation error. In this paper, the robust position control of DC servomotors considering those estimation errors of equivalent Disturbance Torque observer and speed observer is proposed. The simulation and experimental verification are shown to demonstrate the validity of the proposed method.

  • Simple robust speed control scheme for DC servomotors using fuzzy reasoning
    V IEEE International Power Electronics Congress Technical Proceedings CIEP 96, 1996
    Co-Authors: Tomonobu Senjyu, S. Ashimine, Katsumi Uezato
    Abstract:

    The speed control methods using Disturbance Torque observer have been investigated by many researchers. However, it is difficult to use an observer in a real machine, because the observer has several disadvantages: the selection of the observer's poles, the complexity of the calculation, and so on. We use a simple estimation mechanism instead of the observer to estimate the Disturbance Torque. However, this simple mechanism has estimation error for Disturbance Torque, and the error detracts from the control performance. Thus, we proposed the robust speed control method for DC servomotors considering the estimation error. In order to compensate the estimation error, we combine the equivalent Disturbance Torque estimator and a feedback controller. The influence of the estimation error is restrained by the feedback controller introducing fuzzy reasoning. The simulation and experimental results confirm the validity of the proposed control technique.

  • Robust speed control of DC servomotors using fuzzy reasoning
    Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics Control and Instrumentation, 1996
    Co-Authors: Tomonobu Senjyu, S. Ashimine, Katsumi Uezato
    Abstract:

    In the speed control of DC servomotors, using an equivalent Disturbance Torque observer, speed control ability is affected by the estimation error of the equivalent Disturbance Torque observer. The authors propose a robust speed control scheme for DC servomotors using fuzzy reasoning to consider the estimation error of the Torque observer. In order to compensate the estimation error, they combine the equivalent Disturbance Torque observer and a feedback controller. The influence of the estimation error is restrained by the feedback controller introducing fuzzy reasoning. The reason why they introduce fuzzy control is that the estimation error for the observer has heavy nonlinearity and cannot be detected by a linear error estimator. In this case, it is very convenient to use fuzzy reasoning to identify the estimation error. Simulation and experimental results confirm the validity of the proposed control technique.

Tomonobu Senjyu - One of the best experts on this subject based on the ideXlab platform.

  • Sensorless vector control of synchronous reluctance motors with Disturbance Torque observer
    Industrial Electronics IEEE Transactions on, 2001
    Co-Authors: Tomonobu Senjyu, Takeshi Shingaki, Katsumi Uezato
    Abstract:

    The elimination of the position sensor has been one important requirement in vector control systems because the position sensor spoils the reliability and simplicity of drive systems. Therefore, we present a sensorless vector control technique for synchronous reluctance motors. The rotor position is calculated easily from ds-qs-axes flux linkages which are estimated with a first-order lag compensator. Furthermore, utilizing estimated rotor position as the input of the full-order observer, the rotor speed and Disturbance Torque are estimated. The proposed sensorless vector control scheme is demonstrated with experimental results

  • Sensorless vector control of synchronous reluctance motors with Disturbance Torque observer
    APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058), 2000
    Co-Authors: Tomonobu Senjyu, Takeshi Shingaki, Katsumi Uezato
    Abstract:

    This paper presents a sensorless vector control technique for synchronous reluctance motors. The rotor position is calculated easily from ds-qs axes flux linkages which are estimated with a first-order lag compensator. Furthermore, utilizing estimated rotor position as the input of the full-order observer, the rotor speed and Disturbance Torque are estimated. The proposed sensorless vector control scheme is demonstrated with experimental results.

  • Robust position control of DC servomotors using adaptive gain law
    PESC Record. 27th Annual IEEE Power Electronics Specialists Conference, 1996
    Co-Authors: Tomonobu Senjyu, S. Ashimine, Katsumi Uezato
    Abstract:

    In position control for DC servomotors using an equivalent Disturbance Torque observer and a speed observer, the position control ability of DC servomotors is affected by the observers' estimation error. In this paper, the robust position control of DC servomotors considering those estimation errors of equivalent Disturbance Torque observer and speed observer is proposed. The simulation and experimental verification are shown to demonstrate the validity of the proposed method.

  • Simple robust speed control scheme for DC servomotors using fuzzy reasoning
    V IEEE International Power Electronics Congress Technical Proceedings CIEP 96, 1996
    Co-Authors: Tomonobu Senjyu, S. Ashimine, Katsumi Uezato
    Abstract:

    The speed control methods using Disturbance Torque observer have been investigated by many researchers. However, it is difficult to use an observer in a real machine, because the observer has several disadvantages: the selection of the observer's poles, the complexity of the calculation, and so on. We use a simple estimation mechanism instead of the observer to estimate the Disturbance Torque. However, this simple mechanism has estimation error for Disturbance Torque, and the error detracts from the control performance. Thus, we proposed the robust speed control method for DC servomotors considering the estimation error. In order to compensate the estimation error, we combine the equivalent Disturbance Torque estimator and a feedback controller. The influence of the estimation error is restrained by the feedback controller introducing fuzzy reasoning. The simulation and experimental results confirm the validity of the proposed control technique.

  • Robust speed control of DC servomotors using fuzzy reasoning
    Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics Control and Instrumentation, 1996
    Co-Authors: Tomonobu Senjyu, S. Ashimine, Katsumi Uezato
    Abstract:

    In the speed control of DC servomotors, using an equivalent Disturbance Torque observer, speed control ability is affected by the estimation error of the equivalent Disturbance Torque observer. The authors propose a robust speed control scheme for DC servomotors using fuzzy reasoning to consider the estimation error of the Torque observer. In order to compensate the estimation error, they combine the equivalent Disturbance Torque observer and a feedback controller. The influence of the estimation error is restrained by the feedback controller introducing fuzzy reasoning. The reason why they introduce fuzzy control is that the estimation error for the observer has heavy nonlinearity and cannot be detected by a linear error estimator. In this case, it is very convenient to use fuzzy reasoning to identify the estimation error. Simulation and experimental results confirm the validity of the proposed control technique.

K. Oshitani - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic model based auto-tuning digital servo driver
    IEEE Transactions on Industrial Electronics, 1995
    Co-Authors: S. Kobayashi, I. Awaya, H. Kuromaru, K. Oshitani
    Abstract:

    This paper presents a new digital servo driver that realizes an auto-tuning function using a Disturbance Torque observer. By the auto-tuning function, a controller of the driver can obtain parameters for advanced controls. In the proposed driver, the controller is not a PI controller, but the model feedforward controller that is based on the dynamic equation of the plant. Then it is named a dynamic model based auto-tuning digital servo driver. The control parameters such as inertia constant, viscous coefficient, and constant Disturbance Torque, are automatically obtained by the orthogonal relation between Torque components of the estimated Disturbance Torque. This auto-tuning algorithm is realized with a simple software for easy installation. The experimental results show that the auto-tuning digital servo driver can achieve good performances and that the driver is able to estimate all parameters accurately.

Injoong Ha - One of the best experts on this subject based on the ideXlab platform.

  • learning approach to control of servomotors under Disturbance Torque dependent on time and states
    IEE Proceedings - Control Theory and Applications, 1998
    Co-Authors: Injoong Ha
    Abstract:

    This paper describes a new type of learning control method for precision velocity control of servomotors suffering from significant Disturbance Torque. The Disturbance Torque under consideration is assumed to be periodic in time and nonlinear in system states, but possibly non-Lipschitzian. Based on the property that the learning system tends to oscillate in the steady state, the proposed learning algorithm iteratively generates a feedforward input to cancel the effect of the Disturbance Torque. Thereby, it can eventually drive the steady-state velocity error to zero. In order to demonstrate the generality of the proposed method, we present a rigorous analysis for the convergence of the proposed learning algorithm. The effectiveness of the proposed method is demonstrated by simulation and experiment.

  • Iterative identification of state-dependent Disturbance Torque for high-precision velocity control of servo motors
    IEEE Transactions on Automatic Control, 1998
    Co-Authors: Injoong Ha
    Abstract:

    We present a computationally very efficient learning control method which is ideally tailored to high-precision velocity control of servo motors in the presence of the Disturbance Torque which is unknown, unstructured, and state-dependent. The proposed learning control method can drive the steady state velocity error to zero and, furthermore, can be used to identify the unknown Disturbance Torque in look-up table form. In order to demonstrate the generality and practical use of our work, we present the rigorous convergence analysis of the learning control algorithm and some experimental results using a single degree-of-freedom manipulator.

S. Kobayashi - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic model based auto-tuning digital servo driver
    IEEE Transactions on Industrial Electronics, 1995
    Co-Authors: S. Kobayashi, I. Awaya, H. Kuromaru, K. Oshitani
    Abstract:

    This paper presents a new digital servo driver that realizes an auto-tuning function using a Disturbance Torque observer. By the auto-tuning function, a controller of the driver can obtain parameters for advanced controls. In the proposed driver, the controller is not a PI controller, but the model feedforward controller that is based on the dynamic equation of the plant. Then it is named a dynamic model based auto-tuning digital servo driver. The control parameters such as inertia constant, viscous coefficient, and constant Disturbance Torque, are automatically obtained by the orthogonal relation between Torque components of the estimated Disturbance Torque. This auto-tuning algorithm is realized with a simple software for easy installation. The experimental results show that the auto-tuning digital servo driver can achieve good performances and that the driver is able to estimate all parameters accurately.

  • Dynamic model based auto-tuning digital servo driver
    Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics, 1993
    Co-Authors: S. Kobayashi, I. Awaya, H. Kuromaru
    Abstract:

    This paper presents a new digital servo driver which realizes an auto-tuning function using the Disturbance Torque observer. By the auto-tuning function, the host controller of the driver can obtain parameters for advanced controls (such as predictive control, etc.). The control parameters such as the inertia constant, the viscous coefficient and the constant Disturbance Torque, are automatically obtained by the orthogonal relation between the Torque components of the estimated Disturbance Torque. The proposed auto-tuning algorithm is realized with a simple software. The experimental results show that the dynamic model based auto-tuning digital servo driver can achieve good performances and that the driver is able to estimate all parameters accurately.