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Yaonan Wang - One of the best experts on this subject based on the ideXlab platform.

  • RBF networks-based adaptive Approximate Model controller for steam valving control
    Neural Computing and Applications, 2011
    Co-Authors: Xiaofang Yuan, Yaonan Wang, Hui Wang, Beining Wang
    Abstract:

    This paper proposes a novel steam valving controller using radial basis function (RBF) networks-based Approximate Model method. Approximate Model method is a kind of direct linearization approach that is derived based on the approximation of the plant’s input–output Model via Taylor expansion. RBF networks are used to identify the plant to implement the Approximate Model control law. In order to improve the performance of the Approximate Model controller, RBF networks weights are adjusted online using BP algorithms with an adaptive learning rate. Several simulations results demonstrate the effectiveness of the proposed controller for team valving control.

  • A Novel Electronic-Throttle-Valve Controller Based on Approximate Model Method
    IEEE Transactions on Industrial Electronics, 2009
    Co-Authors: Xiaofang Yuan, Yaonan Wang
    Abstract:

    An electronic throttle is a dc servo drive which positions the throttle plate, thus providing drive-by-wire control of engine torque. In this paper, an Approximate Model-based robust nonlinear control (AMRNC) strategy is proposed for electronic throttle valve. The AMRNC includes two main parts: Approximate Model controller and uncertainty compensation. The Approximate Model controller, utilized as a feedforward controller, is developed from a linearization of the input-output Model of the plant using Taylor expansion technique, and it is implemented using fuzzy system Modeling. Moreover, a robustness filter in the feedback structure is employed as uncertainty compensation. The robust stability is established by Lyapunov stability theorem. A simulation and an experiment are provided to verify the effectiveness of the AMRNC strategy.

  • svm based Approximate Model control for electronic throttle valve
    IEEE Transactions on Vehicular Technology, 2008
    Co-Authors: Xiaofang Yuan, Yaonan Wang
    Abstract:

    An electronic throttle is a dc-motor-driven valve that regulates air inflow into the combustion system of an engine. The throttle control system should ensure fast and accurate reference tracking of the valve plate angle while preventing excessive wear of the throttle's components by constraining physical variables to their normal-operation domains. These high-quality control demands are hard to accomplish since the plant is burdened with the strong effects of stick-slip friction, a spring, and gear backlash. This paper proposes a support vector machine (SVM)-based Approximate Model control for the electronic throttle. The nonlinear control law is derived directly based on an input-output approximation method via the Taylor expansion, which avoids not only complex control development and intensive computation but also online learning or adjustment. Only a general SVM Modeling technique is involved in both Model identification and controller implementation. The robustness of the stability is established by the Lyapunov method. The proposed nonlinear controller is verified by computer simulations and experiments.

Xiaofang Yuan - One of the best experts on this subject based on the ideXlab platform.

  • RBF networks-based adaptive Approximate Model controller for steam valving control
    Neural Computing and Applications, 2011
    Co-Authors: Xiaofang Yuan, Yaonan Wang, Hui Wang, Beining Wang
    Abstract:

    This paper proposes a novel steam valving controller using radial basis function (RBF) networks-based Approximate Model method. Approximate Model method is a kind of direct linearization approach that is derived based on the approximation of the plant’s input–output Model via Taylor expansion. RBF networks are used to identify the plant to implement the Approximate Model control law. In order to improve the performance of the Approximate Model controller, RBF networks weights are adjusted online using BP algorithms with an adaptive learning rate. Several simulations results demonstrate the effectiveness of the proposed controller for team valving control.

  • A Novel Electronic-Throttle-Valve Controller Based on Approximate Model Method
    IEEE Transactions on Industrial Electronics, 2009
    Co-Authors: Xiaofang Yuan, Yaonan Wang
    Abstract:

    An electronic throttle is a dc servo drive which positions the throttle plate, thus providing drive-by-wire control of engine torque. In this paper, an Approximate Model-based robust nonlinear control (AMRNC) strategy is proposed for electronic throttle valve. The AMRNC includes two main parts: Approximate Model controller and uncertainty compensation. The Approximate Model controller, utilized as a feedforward controller, is developed from a linearization of the input-output Model of the plant using Taylor expansion technique, and it is implemented using fuzzy system Modeling. Moreover, a robustness filter in the feedback structure is employed as uncertainty compensation. The robust stability is established by Lyapunov stability theorem. A simulation and an experiment are provided to verify the effectiveness of the AMRNC strategy.

  • svm based Approximate Model control for electronic throttle valve
    IEEE Transactions on Vehicular Technology, 2008
    Co-Authors: Xiaofang Yuan, Yaonan Wang
    Abstract:

    An electronic throttle is a dc-motor-driven valve that regulates air inflow into the combustion system of an engine. The throttle control system should ensure fast and accurate reference tracking of the valve plate angle while preventing excessive wear of the throttle's components by constraining physical variables to their normal-operation domains. These high-quality control demands are hard to accomplish since the plant is burdened with the strong effects of stick-slip friction, a spring, and gear backlash. This paper proposes a support vector machine (SVM)-based Approximate Model control for the electronic throttle. The nonlinear control law is derived directly based on an input-output approximation method via the Taylor expansion, which avoids not only complex control development and intensive computation but also online learning or adjustment. Only a general SVM Modeling technique is involved in both Model identification and controller implementation. The robustness of the stability is established by the Lyapunov method. The proposed nonlinear controller is verified by computer simulations and experiments.

Wael G. Abdelrahman - One of the best experts on this subject based on the ideXlab platform.

Adnan H. Nayfeh - One of the best experts on this subject based on the ideXlab platform.

Mirosław Szukiewicz - One of the best experts on this subject based on the ideXlab platform.

  • Approximate Model for diffusion and reaction in a porous pellet and an effectiveness factor
    Chemical Engineering Science, 2004
    Co-Authors: Mirosław Szukiewicz, Roman Petrus
    Abstract:

    In the present work the Approximate Model for the single reaction with a non-linear kinetic equation is utilized for the calculation of an effectiveness factor value. The values obtained were compared with those obtained by numerical solution of the exact Model and by using Approximate methods reported in the literature. The accuracy of calculations of effectiveness factor values using the Approximate Model is good and the method handles the multiple steady-state region.

  • An Approximate Model for diffusion and reaction in a porous pellet
    Chemical Engineering Science, 2002
    Co-Authors: Mirosław Szukiewicz
    Abstract:

    Abstract A method of derivation of linear driving force approximation for diffusion and reaction processes in porous catalysts based on Laplace–Carson transform has been presented. The Approximate Model for any type of kinetic expression has been derived. Accuracy of developed Model is good, especially in the range of small and intermediate Thiele modulus values that is used most often in cases of practice. This approximation yields a substantial simplification of analysis and computations and does not require any iterative and trial-and-error calculations.

  • New Approximate Model for diffusion and reaction in a porous catalyst
    AIChE Journal, 2000
    Co-Authors: Mirosław Szukiewicz
    Abstract:

    In this work an Approximate Model is developed that is valid for diffusion-reaction processes and that is free of the drawbaks of earlier Models. The Approximate, linear driving-force (LDF) formula, which is also analogous to Gluackauf's formula, has been derived. The accuracy of the developed Model is very high. Moreover, the method applied for derivation of the Approximate Model can be useful not only for diffusion and reaction process in porous catalysts, but also for any process that takes into account internal diffusion, adsorption, and the like.