The Experts below are selected from a list of 2391 Experts worldwide ranked by ideXlab platform

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

  • hydrogen fuel cell and ultracapacitor based electric power system sliding mode control electric vehicle application
    Energies, 2020
    Co-Authors: Yuri B. Shtessel, Malek Ghanes, Roshini S. Ashok
    Abstract:

    Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which is the main controllable load of the electric car. This control is achieved in the presence of the torque disturbances via directly controlling the armature voltage. The direct voltage control was accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. Controlling the HFC and UC current based on the power balance approach eliminated the non-minimum phase property of the DC–DC boost converter. Conventional first order sliding mode controllers (1-SMC) were employed to control the output voltage of the DC–DC boost power converter and the load current of the UC. The current in HFC and the servomotor speed were controlled by the adaptive-gain second order SMC (2-ASMC). The efficiency and robustness of the HFC/UC-based electric power systems controlled by 1-SMC and 2-ASMC were confirmed on a case study of electric car speed control via computer simulations.

  • Sliding Mode Control of Hydrogen Fuel Cell and Ultracapacitor Based Electric Power System: Electric Vehicle Application
    IFAC-PapersOnLine, 2017
    Co-Authors: Roshini S. Ashok, Yuri B. Shtessel, Malek Ghanes
    Abstract:

    The paper deals with controlling an electric power system comprised of a Hydrogen Fuel Cell (HFC), boost and boost/buck DC-DC power converters and the Ultracapacitor (UC) for an auxiliary power supply in order to control servomotor speed within a vehicle application. Relative degree approach is applied for direct control of the servomotor input voltage and speed, as well as the HFC and UC currents in the presence of the model uncertainties. The non-minimum phase property of the DC-DC boost converter is eliminated by controlling HFC and UC currents based on the power balance approach. The adaptive-gain second order sliding mode controllers (2-ASMC) control the current in HFC and the servomotor speed. The conventional Sliding Mode Controllers (SMC) are designed for controlling the output voltage of the converter and the load current of the UC. The efficiency and robustness of the proposed SMC and 2-ASMC are confirmed via computer simulations.

Nase Pariz - One of the best experts on this subject based on the ideXlab platform.

  • position control of Servomotors using neural dynamic sliding mode
    Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 2011
    Co-Authors: Ali Karamimollaee, Nase Pariz, H M Shanechi
    Abstract:

    In this paper, position control of Servomotors is addressed. A radial basis function neural network is employed to identify the unknown nonlinear function of the plant model, and then a robust adaptive law is developed to train the parameters of the neural network, which does not require any preliminary off-line weight learning. Moreover, base on the identified model, we propose a new dynamic sliding mode control (DSMC) for a general class of nonaffine nonlinear systems by defining a new adaptive proportional-integral sliding surface and employing a linear state feedback. The main property of proposed controller is that it does not need an upper bound for the uncertainty and identified model; moreover, the switching gain increases and decreases according to the system circumstance by employing an adaptive procedure. Then, chattering is removed completely by using the DSMC with a small switching gain.

  • position control of induction and dc Servomotors a novel adaptive fuzzy pi sliding mode control
    IEEE Transactions on Energy Conversion, 2008
    Co-Authors: Reza Shahnazi, H M Shanechi, Nase Pariz
    Abstract:

    A position control of a class of Servomotors is addressed in this paper via a novel adaptive fuzzy PI sliding mode control. The premise and the consequence parts of the fuzzy rules are tuned with adaptive schemes. To attenuate chattering effectively, the discontinuous control is approximated by an adaptive PI control structure. Moreover, the bound of the discontinuous control term is assumed to be unknown, and an adaptive mechanism is used to estimate this bound. All adaptive laws are derived via Lyapunov synthesis method, thereby guaranteeing the closed-loop stability. The proposed approach has the added advantage that, for external disturbances, it only requires a bound to exist, without needing to know the magnitude of this bound. The proposed controller is applied to control a model of uncertain induction servomotor subject to significant disturbances and a model of DC servomotor with unknown parameters and uncertainty in load condition. The analysis of simulations reveals the effectiveness of the proposed method in controlling Servomotors in terms of significant reduction in chattering while maintaining asymptotic convergence.

  • position control of induction and dc Servomotors a novel adaptive fuzzy pi sliding mode control
    2006 IEEE Power Engineering Society General Meeting, 2006
    Co-Authors: Reza Shahnazi, H M Shanechi, Nase Pariz
    Abstract:

    The position control of a class of Servomotors is addressed in this paper via a novel adaptive fuzzy PI sliding mode control. The premise and the consequence parts of the fuzzy rules are tuned with adaptive schemes. To attenuate chattering effectively the discontinuous control is approximated by an adaptive PI control structure. Moreover, the bound of the discontinuous control term is assumed unknown and an adaptive mechanism is used to estimate this bound. All adaptive laws are derived via Lyapunov synthesis method, thereby guaranteeing the closed-loop stability. The proposed approach has the added advantage that for external disturbances it only requires a bound to exist, without needing to know the magnitude of this bound. The proposed controller is applied to control a model of uncertain induction servomotor subject to significant disturbances and a model of DC servomotor with unknown parameters and uncertainty in load condition. Analysis of simulations reveals the effectiveness of the proposed method in controlling Servomotors in terms of significant reduction in chattering while maintaining asymptotic convergence.

Yuri B. Shtessel - One of the best experts on this subject based on the ideXlab platform.

  • hydrogen fuel cell and ultracapacitor based electric power system sliding mode control electric vehicle application
    Energies, 2020
    Co-Authors: Yuri B. Shtessel, Malek Ghanes, Roshini S. Ashok
    Abstract:

    Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which is the main controllable load of the electric car. This control is achieved in the presence of the torque disturbances via directly controlling the armature voltage. The direct voltage control was accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. Controlling the HFC and UC current based on the power balance approach eliminated the non-minimum phase property of the DC–DC boost converter. Conventional first order sliding mode controllers (1-SMC) were employed to control the output voltage of the DC–DC boost power converter and the load current of the UC. The current in HFC and the servomotor speed were controlled by the adaptive-gain second order SMC (2-ASMC). The efficiency and robustness of the HFC/UC-based electric power systems controlled by 1-SMC and 2-ASMC were confirmed on a case study of electric car speed control via computer simulations.

  • Sliding Mode Control of Hydrogen Fuel Cell and Ultracapacitor Based Electric Power System: Electric Vehicle Application
    IFAC-PapersOnLine, 2017
    Co-Authors: Roshini S. Ashok, Yuri B. Shtessel, Malek Ghanes
    Abstract:

    The paper deals with controlling an electric power system comprised of a Hydrogen Fuel Cell (HFC), boost and boost/buck DC-DC power converters and the Ultracapacitor (UC) for an auxiliary power supply in order to control servomotor speed within a vehicle application. Relative degree approach is applied for direct control of the servomotor input voltage and speed, as well as the HFC and UC currents in the presence of the model uncertainties. The non-minimum phase property of the DC-DC boost converter is eliminated by controlling HFC and UC currents based on the power balance approach. The adaptive-gain second order sliding mode controllers (2-ASMC) control the current in HFC and the servomotor speed. The conventional Sliding Mode Controllers (SMC) are designed for controlling the output voltage of the converter and the load current of the UC. The efficiency and robustness of the proposed SMC and 2-ASMC are confirmed via computer simulations.

Malek Ghanes - One of the best experts on this subject based on the ideXlab platform.

  • hydrogen fuel cell and ultracapacitor based electric power system sliding mode control electric vehicle application
    Energies, 2020
    Co-Authors: Yuri B. Shtessel, Malek Ghanes, Roshini S. Ashok
    Abstract:

    Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which is the main controllable load of the electric car. This control is achieved in the presence of the torque disturbances via directly controlling the armature voltage. The direct voltage control was accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. Controlling the HFC and UC current based on the power balance approach eliminated the non-minimum phase property of the DC–DC boost converter. Conventional first order sliding mode controllers (1-SMC) were employed to control the output voltage of the DC–DC boost power converter and the load current of the UC. The current in HFC and the servomotor speed were controlled by the adaptive-gain second order SMC (2-ASMC). The efficiency and robustness of the HFC/UC-based electric power systems controlled by 1-SMC and 2-ASMC were confirmed on a case study of electric car speed control via computer simulations.

  • Sliding Mode Control of Hydrogen Fuel Cell and Ultracapacitor Based Electric Power System: Electric Vehicle Application
    IFAC-PapersOnLine, 2017
    Co-Authors: Roshini S. Ashok, Yuri B. Shtessel, Malek Ghanes
    Abstract:

    The paper deals with controlling an electric power system comprised of a Hydrogen Fuel Cell (HFC), boost and boost/buck DC-DC power converters and the Ultracapacitor (UC) for an auxiliary power supply in order to control servomotor speed within a vehicle application. Relative degree approach is applied for direct control of the servomotor input voltage and speed, as well as the HFC and UC currents in the presence of the model uncertainties. The non-minimum phase property of the DC-DC boost converter is eliminated by controlling HFC and UC currents based on the power balance approach. The adaptive-gain second order sliding mode controllers (2-ASMC) control the current in HFC and the servomotor speed. The conventional Sliding Mode Controllers (SMC) are designed for controlling the output voltage of the converter and the load current of the UC. The efficiency and robustness of the proposed SMC and 2-ASMC are confirmed via computer simulations.

Reza Shahnazi - One of the best experts on this subject based on the ideXlab platform.

  • position control of induction and dc Servomotors a novel adaptive fuzzy pi sliding mode control
    IEEE Transactions on Energy Conversion, 2008
    Co-Authors: Reza Shahnazi, H M Shanechi, Nase Pariz
    Abstract:

    A position control of a class of Servomotors is addressed in this paper via a novel adaptive fuzzy PI sliding mode control. The premise and the consequence parts of the fuzzy rules are tuned with adaptive schemes. To attenuate chattering effectively, the discontinuous control is approximated by an adaptive PI control structure. Moreover, the bound of the discontinuous control term is assumed to be unknown, and an adaptive mechanism is used to estimate this bound. All adaptive laws are derived via Lyapunov synthesis method, thereby guaranteeing the closed-loop stability. The proposed approach has the added advantage that, for external disturbances, it only requires a bound to exist, without needing to know the magnitude of this bound. The proposed controller is applied to control a model of uncertain induction servomotor subject to significant disturbances and a model of DC servomotor with unknown parameters and uncertainty in load condition. The analysis of simulations reveals the effectiveness of the proposed method in controlling Servomotors in terms of significant reduction in chattering while maintaining asymptotic convergence.

  • position control of induction and dc Servomotors a novel adaptive fuzzy pi sliding mode control
    2006 IEEE Power Engineering Society General Meeting, 2006
    Co-Authors: Reza Shahnazi, H M Shanechi, Nase Pariz
    Abstract:

    The position control of a class of Servomotors is addressed in this paper via a novel adaptive fuzzy PI sliding mode control. The premise and the consequence parts of the fuzzy rules are tuned with adaptive schemes. To attenuate chattering effectively the discontinuous control is approximated by an adaptive PI control structure. Moreover, the bound of the discontinuous control term is assumed unknown and an adaptive mechanism is used to estimate this bound. All adaptive laws are derived via Lyapunov synthesis method, thereby guaranteeing the closed-loop stability. The proposed approach has the added advantage that for external disturbances it only requires a bound to exist, without needing to know the magnitude of this bound. The proposed controller is applied to control a model of uncertain induction servomotor subject to significant disturbances and a model of DC servomotor with unknown parameters and uncertainty in load condition. Analysis of simulations reveals the effectiveness of the proposed method in controlling Servomotors in terms of significant reduction in chattering while maintaining asymptotic convergence.