The Experts below are selected from a list of 7491 Experts worldwide ranked by ideXlab platform

Dale E Seborg - One of the best experts on this subject based on the ideXlab platform.

  • adaptive input Output Linearization of a ph neutralization process
    1997
    Co-Authors: Michael A Henson, Dale E Seborg
    Abstract:

    Adaptive non-linear control strategies for a pH neutralization process are developed and evaluated via simulation. A non-adaptive non-linear controller is designed using a modified input–Output Linearization technique which accounts for the implicit Output equation in the reaction invariant model. For simplicity the reaction invariants are assumed to be available for feedback. Because the model exhibits significant time-varying behaviour, the input–Output linearizing controller is combined with non-linear parameter estimators which account for unmeasured buffering changes. Simulation results demonstrate that a novel indirect adaptive strategy is most suitable for experimental implementation where the reaction invariants must be estimated and sampling is required. © 1997 by John Wiley & Sons, Ltd.

  • adaptive nonlinear control of a ph neutralization process
    1994
    Co-Authors: Michael A Henson, Dale E Seborg
    Abstract:

    An adaptive nonlinear control strategy for a bench-scale pH neutralization system is developed and experimentally evaluated. The pH process exhibits severe nonlinear and time-varying behavior and therefore cannot be adequately controlled with a conventional PI controller. The nonlinear controller design is based on a modified input-Output Linearization approach which accounts for the implicit Output equation in the reaction invariant model. Because the reaction invariants cannot be measured online and the linearized system is unobservable, a nonlinear Output feedback controller is developed by combining the input-Output linearizing controller with a reduced-order, open-loop observer. The adaptive nonlinear control strategy is obtained by augmenting the non-adaptive controller with an indirect parameter estimation scheme which accounts for unmeasured buffering changes. Experimental tests demonstrate the superior performance of the adaptive nonlinear controller as compared to a non-adaptive nonlinear controller and conventional PI controller. >

  • nonlinear control strategies for continuous fermenters
    1992
    Co-Authors: Michael A Henson, Dale E Seborg
    Abstract:

    Abstract Nonlinear controllers based on exact Linearization are designed and evaluated for continuous fermenters. The dilution rate and feed substrate concentration are considered as manipulated inputs in single-input/single-Output strategies for productivity control. The resulting controllers are compared theoretically and via simulation. It is shown that state—space Linearization techniques are not appropriate for this class of fermenters. Exact input—Output-linearizing control employing the dilution rate as the manipulated input is shown to provide excellent regulatory behavior. Conversely, input—Output Linearization with the feed substrate concentration as the manipulated input is problematic. The exact approach yields unreasonably large control moves while an approximate technique recently proposed results in very sluggish responses. A modified approach to exact input—Output Linearization is proposed that results in satisfactory control.

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

  • high performance induction motor control via input Output Linearization
    1994
    Co-Authors: Marc Bodson, J Chiasson, Robert T. Novotnak
    Abstract:

    We have shown that a current-command input-Output Linearization controller can achieve high-performance motion control, that is, the precise tracking of a fast point-to-point position reference. Specifically, this controller was shown to provide the means of decoupling the speed and flux dynamics in an induction motor. This decoupling of speed and flux was exploited to simultaneously track the position/speed reference and an optimal flux reference. This flux reference was used to obtain the optimal (max/min) motor torque at any given speed without violating voltage and current limits. Experimental results were presented to demonstrate the effectiveness of this scheme. >

  • nonlinear control of a shunt dc motor
    1993
    Co-Authors: J Chiasson, Marc Bodson
    Abstract:

    The problem of controlling a shunt DC motor is considered. Recent methods for nonlinear control are compared, including feedback Linearization, generalized controller canonical forms, and input-Output Linearization. Connections between the approaches, as well as their respective advantages are discussed in detail. >

  • nonlinear differential geometric techniques for control of a series dc motor
    1993
    Co-Authors: J Chiasson
    Abstract:

    The problem of controlling a Series DC motor using only current measurements is considered. It is shown that both speed and load-torque may be estimated from the current measurements for use in two proposed nonlinear controllers. The two proposed feedback laws are based on feedback Linearization and input-Output Linearization. Further, both the speed/torque estimation scheme and the control schemes are valid in the prescence of magnetic saturation in the field circuit and when high-speed field-weakening is employed. The estimation is accomplished by using nonlinear state-space and Output-space transformations to construct an observer with linear error-dynamics whose rate of convergence may be arbitrarily specified. (Such an observer could provide reliability to existing systems in the event of a speed sensor failure.) The feedback-Linearization controller involves a non-trivial state-space transformation allowing control of the full state trajectory. It is then shown that a simpler input-Output Linearization controller with stable internal dynamics exists and is explicitly constructed.

  • high performance motion control of an induction motor by input Output Linearization
    1993
    Co-Authors: Marc Bodson, J Chiasson, Robert T. Novotnak
    Abstract:

    Compares the well-known method of field-oriented control for induction motors with an approach based on input-Output Linearization. The optimal choice of flux reference, to achieve maximum torque under the constraint of bounded voltages and currents, is incorporated in the algorithms. The input-Output Linearization controller does not assume that the flux variables are regulated to constant values, or that they vary slowly. Therefore, It is useful for tracking trajectories with sharp variations of both the velocity and flux. This is verified with experimental results which show that, for some trajectories with stringent tracking requirements, the input-Output controller is capable of performing the task while the field-oriented controller is not. >

Marc Bodson - One of the best experts on this subject based on the ideXlab platform.

  • high performance induction motor control via input Output Linearization
    1994
    Co-Authors: Marc Bodson, John Chiasson, Robert T. Novotnak
    Abstract:

    We have shown that a current-command input-Output Linearization controller can achieve high-performance motion control, that is, the precise tracking of a fast point-to-point position reference. Specifically, this controller was shown to provide the means of decoupling the speed and flux dynamics in an induction motor. This decoupling of speed and flux was exploited to simultaneously track the position/speed reference and an optimal flux reference. This flux reference was used to obtain the optimal (max/min) motor torque at any given speed without violating voltage and current limits. Experimental results were presented to demonstrate the effectiveness of this scheme. >

  • high performance induction motor control via input Output Linearization
    1994
    Co-Authors: Marc Bodson, J Chiasson, Robert T. Novotnak
    Abstract:

    We have shown that a current-command input-Output Linearization controller can achieve high-performance motion control, that is, the precise tracking of a fast point-to-point position reference. Specifically, this controller was shown to provide the means of decoupling the speed and flux dynamics in an induction motor. This decoupling of speed and flux was exploited to simultaneously track the position/speed reference and an optimal flux reference. This flux reference was used to obtain the optimal (max/min) motor torque at any given speed without violating voltage and current limits. Experimental results were presented to demonstrate the effectiveness of this scheme. >

  • nonlinear control of a shunt dc motor
    1993
    Co-Authors: J Chiasson, Marc Bodson
    Abstract:

    The problem of controlling a shunt DC motor is considered. Recent methods for nonlinear control are compared, including feedback Linearization, generalized controller canonical forms, and input-Output Linearization. Connections between the approaches, as well as their respective advantages are discussed in detail. >

  • high performance motion control of an induction motor by input Output Linearization
    1993
    Co-Authors: Marc Bodson, J Chiasson, Robert T. Novotnak
    Abstract:

    Compares the well-known method of field-oriented control for induction motors with an approach based on input-Output Linearization. The optimal choice of flux reference, to achieve maximum torque under the constraint of bounded voltages and currents, is incorporated in the algorithms. The input-Output Linearization controller does not assume that the flux variables are regulated to constant values, or that they vary slowly. Therefore, It is useful for tracking trajectories with sharp variations of both the velocity and flux. This is verified with experimental results which show that, for some trajectories with stringent tracking requirements, the input-Output controller is capable of performing the task while the field-oriented controller is not. >

Bailing Tian - One of the best experts on this subject based on the ideXlab platform.

  • continuous high order sliding mode controller design for a flexible air breathing hypersonic vehicle
    2014
    Co-Authors: Jie Wang, Qun Zong, Bailing Tian
    Abstract:

    Abstract This paper investigates the problem of tracking control with uncertainties for a flexible air-breathing hypersonic vehicle (FAHV). In order to overcome the analytical intractability of this model, an Input–Output Linearization model is constructed for the purpose of feedback control design. Then, the continuous finite time convergence high order sliding mode controller is designed for the Input–Output Linearization model without uncertainties. In addition, a nonlinear disturbance observer is applied to estimate the uncertainties in order to compensate the controller and disturbance suppression, where disturbance observer and controller synthesis design is obtained. Finally, the synthesis of controller and disturbance observer is used to achieve the tracking for the velocity and altitude of the FAHV and simulations are presented to illustrate the effectiveness of the control strategies.

John Chiasson - One of the best experts on this subject based on the ideXlab platform.

  • high performance induction motor control via input Output Linearization
    1994
    Co-Authors: Marc Bodson, John Chiasson, Robert T. Novotnak
    Abstract:

    We have shown that a current-command input-Output Linearization controller can achieve high-performance motion control, that is, the precise tracking of a fast point-to-point position reference. Specifically, this controller was shown to provide the means of decoupling the speed and flux dynamics in an induction motor. This decoupling of speed and flux was exploited to simultaneously track the position/speed reference and an optimal flux reference. This flux reference was used to obtain the optimal (max/min) motor torque at any given speed without violating voltage and current limits. Experimental results were presented to demonstrate the effectiveness of this scheme. >

  • Nonlinear Differential-Geometric Techniques for Control of a Series DC Motor
    1994
    Co-Authors: John Chiasson
    Abstract:

    The problem of controlling a series DC motor using only current measurements is considered. It is shown that both speed and load-torque may be estimated from the current measurements. Two nonlinear feedback laws are considered based on feedback Linearization and input-Output Linearization, respectively. Both of these control laws require knowledge of the speed and load-torque. The speed/torque estimation scheme and the control schemes are valid in the presence of magnetic saturation in the field circuit and when high-speed field-weakening is employed. By neglecting the armature inductance, the estimation is accomplished using nonlinear state-space and Output-space transformations to construct an observer with linear error-dynamics whose rate of convergence may be arbitrarily specified. (Such an observer could provide reliability to existing systems in the event of a speed sensor failure.) The feedback-Linearization controller involves a nontrivial state-space transformation allowing control of the full state trajectory. An input-Output Linearization controller with stable internal dynamics is also explicitly constructed. Finally, simulations are given to demonstrate the algorithms