The Experts below are selected from a list of 22617 Experts worldwide ranked by ideXlab platform

Fujio Kurokawa - One of the best experts on this subject based on the ideXlab platform.

  • Proportional and Integral Gain changeable control DC-DC converter for improvement of dynamic performance
    2017 IEEE International Telecommunications Energy Conference (INTELEC), 2017
    Co-Authors: Kazuhiro Kajiwara, Yudai Furukawa, Nobumasa Matsui, Fujio Kurokawa
    Abstract:

    The purpose of this paper is to improve dynamic characteristics of dc-dc converters in the information and telecommunications system by using a proportional and Integral Gain changeable control method. Generally, stability becomes worse and a limit cycle oscillation occurs when large PID control Gains are used. In the proposed method, the proportional Gain is risen during a transient state to improve the transient response and avoid the limit cycle oscillation. Also, the Integral Gain is set to a small value in the continuous conduction mode and a large value in the discontinuous conduction mode. As a result, the proposed method has a superior transient response and high stability to a conventional fixed Gain PID control method.

  • Dynamic Characteristics of Integral Gain Changeable Digital Control DC-DC Converter for Suppression of Output Capacitance
    International Journal of Renewable Energy Research, 2016
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Fujio Kurokawa, Hidenori Maruta, Ilhami Colak
    Abstract:

    Stability of power converters has become more and more important in the hybrid green energy system because of its difficulties to maintain a stable dc-bus. This paper presents dynamic characteristics of a digital Integral Gain changeable control dc-dc converter to realize the high stability with suppression of the output capacitance. The Integral Gain changeable control method uses a variable Integral Gain, which is changed by the value of load current. The stability analysis is conducted by Bode diagrams. It is shown that the transient response and stability of the Integral Gain changeable method are better than the conventional fixed Integral Gain control method even if the output capacitance is smaller than the conventional method. Simulation and experimental results show the effectiveness of our concept presented.

  • Stability analysis of digital feedback Gain changeable control switching power converter
    2016 IEEE International Telecommunications Energy Conference (INTELEC), 2016
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Fujio Kurokawa, Hidenori Maruta, Tadashi Suetsugu, Keiichi Hirose
    Abstract:

    The dc power feeding system has been attracted attention in recent years. Since the load is dynamically changed in this system, the stability of dc-dc converter is important. This paper presents the stability analysis and the transient response of digital Integral Gain changeable control dc-dc converter using small output capacitance. The proposed method changes the Integral Gain with a single logarithm function according to the load current. It is verified the proposed method can obtain a good transient response with high stability even when the output capacitance is small.

  • Wide Input and Load Integral Gain Changeable Digital Control DC-DC Converter
    International Journal of Renewable Energy Research, 2015
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Fujio Kurokawa
    Abstract:

    The aim of this paper is to present an Integral Gain changeable digital control dc-dc converter with wide input and load regulation characteristics. Since the green energy depends on the environment, wide input regulation characteristics are necessary in dc-dc converters. Additionally, dc-dc converters have an issue that the output voltage of dc-dc converters is increased in the light load condition. When the large feedback Gain is used to realize wide regulation characteristics, the stability becomes worse. The proposed method can address all of them using a simple Integral Gain changeable method. The Integral Gain is changed quickly by the load current value. The Integral changeable function uses a single approximate function which is designed by the stabilization range of output voltage based on the Integral control. The proposed method has great regulation characteristics aGainst both of the input voltage and load. Furthermore, it has a superior transient response to the conventional Integral Gain fixed method. Simulated and experimental results are provided to confirm the effectivity of proposed method.

  • Transient response of Integral Gain switchover digital control dc-dc converter in discontinuous conduction mode
    2015 IEEE International Telecommunications Energy Conference (INTELEC), 2015
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Tsuyoshi Kume, Fujio Kurokawa
    Abstract:

    This paper presents the parameter design of the Integral Gain switchover function for the digital control dc-dc converter and its transient response in the DCM. The proposed Gain switchover function utilizes the load current to determine the Integral Gain because the output current is detected in the dc-dc converters for the ICT system. The proposed method uses the hysteresis function around the critical current to avoid the Gain oscillation. And then, the influence on the transient response by the Integral Gain of DCM is discussed in this paper. It is verified that the proposed method shows a superior transient response from the CCM to the DCM by switching to select the appropriate Integral Gain.

Xiaoou Li - One of the best experts on this subject based on the ideXlab platform.

  • ISIC - Stable neural PID anti-swing control for an overhead crane
    2013 IEEE International Symposium on Intelligent Control (ISIC), 2013
    Co-Authors: Francisco Panuncio, Wen Yu, Xiaoou Li
    Abstract:

    PD with compensation or PID are the most popular algorithms for the overhead crane control. To minimize steady-state error with respect to uncertaintie, PID control needs a big Integral Gain and the PD with compensator requires a large derivative Gain. Both of them deteriorate transient performances of the crane control. In this paper, we propose a novel anti-swing control strategy which combines PID control with neural compensation. The main theory contributions of this paper are semiglobal asymptotic stability of the neural PID for the anti-swing control is proven with standard weights training algorithms. The conditions give explicit selection methods for the Gains of the linear PID control. A experimental study on an overhead crane with this neural PID control is addressed.

  • CDC - Stable PID control for robot manipulators with neural compensation
    2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
    Co-Authors: Wen Yu, Xiaoou Li
    Abstract:

    In order to minimize steady-state error with respect to uncertainties in robot control, the Integral Gain of PID control should be increased. Another method is to add a compensator to PD control, such as neural compensator, but the derivative Gain of this PD control should be large enough. These two approaches deteriorate transient performances. In this paper, the popular neural PD is extended to neural PID control. The semiglobal asymptotic stability of the neural PID control is proven. The conditions give explicit selection methods for the Gains of the linear PID control. A experimental study on an upper limb exoskeleton with this neural PID control is addressed.

Kazuhiro Kajiwara - One of the best experts on this subject based on the ideXlab platform.

  • Proportional and Integral Gain changeable control DC-DC converter for improvement of dynamic performance
    2017 IEEE International Telecommunications Energy Conference (INTELEC), 2017
    Co-Authors: Kazuhiro Kajiwara, Yudai Furukawa, Nobumasa Matsui, Fujio Kurokawa
    Abstract:

    The purpose of this paper is to improve dynamic characteristics of dc-dc converters in the information and telecommunications system by using a proportional and Integral Gain changeable control method. Generally, stability becomes worse and a limit cycle oscillation occurs when large PID control Gains are used. In the proposed method, the proportional Gain is risen during a transient state to improve the transient response and avoid the limit cycle oscillation. Also, the Integral Gain is set to a small value in the continuous conduction mode and a large value in the discontinuous conduction mode. As a result, the proposed method has a superior transient response and high stability to a conventional fixed Gain PID control method.

  • Dynamic Characteristics of Integral Gain Changeable Digital Control DC-DC Converter for Suppression of Output Capacitance
    International Journal of Renewable Energy Research, 2016
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Fujio Kurokawa, Hidenori Maruta, Ilhami Colak
    Abstract:

    Stability of power converters has become more and more important in the hybrid green energy system because of its difficulties to maintain a stable dc-bus. This paper presents dynamic characteristics of a digital Integral Gain changeable control dc-dc converter to realize the high stability with suppression of the output capacitance. The Integral Gain changeable control method uses a variable Integral Gain, which is changed by the value of load current. The stability analysis is conducted by Bode diagrams. It is shown that the transient response and stability of the Integral Gain changeable method are better than the conventional fixed Integral Gain control method even if the output capacitance is smaller than the conventional method. Simulation and experimental results show the effectiveness of our concept presented.

  • Stability analysis of digital feedback Gain changeable control switching power converter
    2016 IEEE International Telecommunications Energy Conference (INTELEC), 2016
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Fujio Kurokawa, Hidenori Maruta, Tadashi Suetsugu, Keiichi Hirose
    Abstract:

    The dc power feeding system has been attracted attention in recent years. Since the load is dynamically changed in this system, the stability of dc-dc converter is important. This paper presents the stability analysis and the transient response of digital Integral Gain changeable control dc-dc converter using small output capacitance. The proposed method changes the Integral Gain with a single logarithm function according to the load current. It is verified the proposed method can obtain a good transient response with high stability even when the output capacitance is small.

  • Wide Input and Load Integral Gain Changeable Digital Control DC-DC Converter
    International Journal of Renewable Energy Research, 2015
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Fujio Kurokawa
    Abstract:

    The aim of this paper is to present an Integral Gain changeable digital control dc-dc converter with wide input and load regulation characteristics. Since the green energy depends on the environment, wide input regulation characteristics are necessary in dc-dc converters. Additionally, dc-dc converters have an issue that the output voltage of dc-dc converters is increased in the light load condition. When the large feedback Gain is used to realize wide regulation characteristics, the stability becomes worse. The proposed method can address all of them using a simple Integral Gain changeable method. The Integral Gain is changed quickly by the load current value. The Integral changeable function uses a single approximate function which is designed by the stabilization range of output voltage based on the Integral control. The proposed method has great regulation characteristics aGainst both of the input voltage and load. Furthermore, it has a superior transient response to the conventional Integral Gain fixed method. Simulated and experimental results are provided to confirm the effectivity of proposed method.

  • Transient response of Integral Gain switchover digital control dc-dc converter in discontinuous conduction mode
    2015 IEEE International Telecommunications Energy Conference (INTELEC), 2015
    Co-Authors: Kazuhiro Kajiwara, Hidenobu Tajima, Tsuyoshi Kume, Fujio Kurokawa
    Abstract:

    This paper presents the parameter design of the Integral Gain switchover function for the digital control dc-dc converter and its transient response in the DCM. The proposed Gain switchover function utilizes the load current to determine the Integral Gain because the output current is detected in the dc-dc converters for the ICT system. The proposed method uses the hysteresis function around the critical current to avoid the Gain oscillation. And then, the influence on the transient response by the Integral Gain of DCM is discussed in this paper. It is verified that the proposed method shows a superior transient response from the CCM to the DCM by switching to select the appropriate Integral Gain.

Hiroki Katoh - One of the best experts on this subject based on the ideXlab platform.

  • Electric transfer function model of switched reluctance motors and model‐based current control design
    Electrical Engineering in Japan, 2010
    Co-Authors: Hiroki Ishikawa, Ryoko Komaki, Haruo Naitoh, Akira Yamaba, Hiroki Katoh
    Abstract:

    This paper presents a current control design for switched reluctance motors (SRMs). The electric transfer characteristic of the motors is studied first. Their transfer function is shown to be expressible by a pure resistive component, which is not constant but varies depending on the motor current and speed. The current control design for SRMs follows the classical design technique used for DC machines, where the zeros of the PI controller cancel the poles of Ls+R. Because the transfer function of SRMs does not have any poles, an I controller is suitable for them. The Integral Gain should be adjusted in order to compensate the nonlinearity, that is, the variation in the equivalent resistor of the SRMs' transfer function. The values of the Integral Gain are tuned and tabulated for the motor speed and current. Simulation and experiment demonstrate that the current and speed of the SRMs present good responses without dependence on the motor speed and current. © 2010 Wiley Periodicals, Inc. Electr Eng Jpn, 173(1): 51–59, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20987

  • Electric Transfer Function Model of Switched Reluctance Motors and the Model-Based Current Control Design
    IEEJ Transactions on Industry Applications, 2008
    Co-Authors: Hiroki Ishikawa, Ryoko Komaki, Haruo Naitoh, Akira Yamaba, Hiroki Katoh
    Abstract:

    This paper presents a current control design for switched reluctance motors (SRMs). The electric transfer characteristic of the motors is studied first. Their transfer function is brought out to be represented by a pure resistive component, which is not constant but varies depending on the motor current and speed. The current control design for SRMs follows the classical design technique used for dc machines, where the zero of PI controller cancels the pole of Ls+R. Because the transfer function of SRMs does not have any poles, an I controller is suitable for them. The Integral Gain should be adjusted in order to compensate the non-linearity, that is, the variation in the equivalent resistor of the SRMs' transfer function. The values of the Integral Gain are tuned and tabulated for the motor speed and current. Simulation and experiment demonstrate that the current and speed of the SRMs presents good responses without dependence on the motor speed and current.

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

  • ISIC - Stable neural PID anti-swing control for an overhead crane
    2013 IEEE International Symposium on Intelligent Control (ISIC), 2013
    Co-Authors: Francisco Panuncio, Wen Yu, Xiaoou Li
    Abstract:

    PD with compensation or PID are the most popular algorithms for the overhead crane control. To minimize steady-state error with respect to uncertaintie, PID control needs a big Integral Gain and the PD with compensator requires a large derivative Gain. Both of them deteriorate transient performances of the crane control. In this paper, we propose a novel anti-swing control strategy which combines PID control with neural compensation. The main theory contributions of this paper are semiglobal asymptotic stability of the neural PID for the anti-swing control is proven with standard weights training algorithms. The conditions give explicit selection methods for the Gains of the linear PID control. A experimental study on an overhead crane with this neural PID control is addressed.

  • CDC - Stable PID control for robot manipulators with neural compensation
    2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
    Co-Authors: Wen Yu, Xiaoou Li
    Abstract:

    In order to minimize steady-state error with respect to uncertainties in robot control, the Integral Gain of PID control should be increased. Another method is to add a compensator to PD control, such as neural compensator, but the derivative Gain of this PD control should be large enough. These two approaches deteriorate transient performances. In this paper, the popular neural PD is extended to neural PID control. The semiglobal asymptotic stability of the neural PID control is proven. The conditions give explicit selection methods for the Gains of the linear PID control. A experimental study on an upper limb exoskeleton with this neural PID control is addressed.

  • PID control for robot manipulators with neural compensation
    2012
    Co-Authors: Roberto Carmona Rodriguez, Wen Yu, Jacob Rosen
    Abstract:

    In order to minimize steady-state error with respect to uncertainties in robot control, the Integral Gain of PID control should be increased. Another method is to add a compensator to PD control, such as neural compensator, but the derivative Gain of this PD control should be large enough. These two approaches deteriorate transient performances. In this paper, the popular neural PD is extended to neural PID control. The semiglobal asymptotic stability of the neural PID control is proven. The conditions give explicit selection methods for the Gains of the linear PID control. A experimental study on an upper limb exoskeleton with this neural PID control is addressed.