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Control Applications, 1995., Proceedings of the 4th IEEE Conference on

Date 28-29 Sept. 1995

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Displaying Results 1 - 25 of 211
  • Proceedings of the 4th IEEE Conference on Control Applications

    Page(s): 0_3 - x
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    Freely Available from IEEE
  • Name index

    Page(s): xi - xvi
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    Freely Available from IEEE
  • Parametric variations of induction machine models: a statistical characterization

    Page(s): 973 - 978
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    In this paper we present a statistical characterizations of eigenstructure changes of a linearized model describing power system load dynamics. We consider examples of induction machines with different ratings, and allow for wide variations of electrical and mechanical parameters. We describe a stochastic norm approach as means to efficiently describe the model variations without having to perform repeated eigenvalue calculations View full abstract»

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  • Parameter estimation of an induction machine using reinitialized partial moments

    Page(s): 979 - 984
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    In this paper, a nonlinear programming algorithm is applied to the electrical parameter estimation of induction motors. A linear in the parameters output model of the system is obtained thanks to the reinitialized partial moments technique. This method is able to reconstruct the nonmeasured rotor currents. Simulation results show that this algorithm can perform an identification of the five electrical parameters of the motor View full abstract»

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  • Subset selection in identification, and application to speed and parameter estimation for induction machines

    Page(s): 991 - 997
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    A method to determine which parameters of a model are numerically identifiable is presented. With this method, parameters are separated into ill-conditioned and well-conditioned parameters. Prior information about ill-conditioned parameters can be incorporated into the estimation process resulting in sensitivity reduction and improved numerical performance of estimation algorithms. The method is an extension to nonlinear models of subset selection methods developed in linear regression. The results are illustrated by application to the case of speed and parameter estimation for induction machine. The insights provided by our parameter subset selection approach are of decisive value in this application View full abstract»

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  • Dynamic coupling of underactuated manipulators

    Page(s): 500 - 505
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    In recent years, researchers have been dedicated to the study of underactuated manipulators which have more joints than control actuators. In previous works, assumptions were made as to the existence of enough dynamic coupling between the active and the passive joints of the manipulator for it to be possible to control the position of the passive joints via the dynamic coupling. In this work, the authors aim to develop an index to measure the dynamic coupling, so as to address when control of the underactuated system is possible, and how the motion and robot configuration can be designed. The authors discuss extensively the nature of the dynamic coupling and of the proposed coupling index, and their applications in the analysis and design of underactuated systems, and in control and planning of robot motion configuration View full abstract»

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  • A continuous friction model for servo systems with stiction

    Page(s): 296 - 301
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    Introduces a continuous model for friction torque of servo systems which involve stiction at extremely low velocities. This new friction model can be applied to both away from zero and close to zero velocity regimes. For high velocities this model reduces to the classical friction model while for very low velocities it allows for the realization of pre-sliding phenomena without the hysteresis effect View full abstract»

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  • Adaptive control of electrically-driven manipulators: theory and experiments

    Page(s): 717 - 723
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    This paper presents a new trajectory tracking control scheme for uncertain rigid-link electrically-driven manipulators. The proposed controller is an adaptive strategy which is general, computationally efficient, and readily implementable, and which requires virtually no information concerning either the manipulator or actuator models. It is shown that the controller ensures semiglobal uniform boundedness of all signals in the presence of bounded disturbances, and that the ultimate size of the tracking errors can be made arbitrarily small. Experimental results are presented for an IMI Zebra Zero manipulator and confirm that the proposed approach provides a simple and effective means of obtaining high performance trajectory tracking with this class of manipulators View full abstract»

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  • Computation of time-optimal trajectories for tower cranes

    Page(s): 1134 - 1139
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    A mathematical model for tower cranes is derived and computation of their optimal trajectories under control and state constraints is undertaken. Large load swings are observed in the simulation of time-optimal trajectories for the actual plant. A sub-optimal control is then proposed to keep the load swings small. Simulation of a typical case is included View full abstract»

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  • Cement mill optimization: design parameters selection of the LQG controller

    Page(s): 862 - 867
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    The cement milling circuit can be seen as a two inputs/two outputs system. The designed multivariable control is based on a LQ controller and a Kalman filter. The authors' main goal is to choose the four design parameters (two diagonal weighting matrices) in order to achieve good performances in terms of rise time, deviation and overshoot. The authors have experimented with several selection methods. The paper compares different approaches and shows the latest developments concerning the best of them View full abstract»

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  • Reduced-order estimation of power system harmonics

    Page(s): 631 - 636
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    The estimation problem of unknown and time-varying power system harmonic signal amplitudes is addressed using a modified form of a signal model which has previously appeared in the literature. Using state-variable techniques, this signal model not only accounts for the unknown variations in signal amplitude but also for the uncertainty or measurement error introduced by variations in instrument transformer frequency response and burdens, and other non-ideal effects which are in the guise of measurement noise. A novel reduced-order state estimator is then used to identify the harmonic components of each measured signal for possible use in harmonic mitigation methodologies. Simulation results using this new harmonic signal model and associated reduced-order estimator are compared to those obtained by the Kalman filter. The main application of this contribution is to flexible AC transmission systems (FACTS) controllers (e.g., static condenser (STATCON) or dynamic voltage restorer (DVR)) which are capable of real-time reactive power and harmonic compensation View full abstract»

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  • Parameter estimation for evaluating ability of a rapid thermal processing system to maintain uniform temperature

    Page(s): 643 - 648
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    An important issue in the design of a rapid thermal processing (RTP) system is the ability of the system to maintain a uniform temperature in a semiconductor wafer. This ability is a characteristics of the radiative heat transfer properties of the system which often cannot be predicted accurately without testing the system. This paper presents a method of experimentally determining if an RTP system can maintain a uniform temperature. The method, which uses a recently-developed method of parameter estimation, has been demonstrated experimentally with an RTP system under investigation at NJIT View full abstract»

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  • Model based calculation of friction curves between tyre and road surface

    Page(s): 291 - 295
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    The estimation of adhesion characteristics during transients of high acceleration phases is very necessary for several systems, for example ABS or vehicle stability control. For the estimation of these friction curves one needs to know the braking force distribution. In this paper a model is presented, which allows the calculation of the braking force distribution of the car's braking system using only one pressure sensor. With the model based calculation of the braking force distribution the friction curves between the tyre and road are estimated View full abstract»

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  • Identification of aircraft and rotorcraft aeroelastic modes using state space system identification

    Page(s): 432 - 437
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    Real time identification of various structural modes of the military fighter aircraft and rotorcaft is a serious problem. If these modes are not identified accurately, aeroservoelastic instabilities may occur. In this paper, we study the identification of these structural modes using both the simulated and real data with two powerful system identification techniques known as the stochastic realization algorithm (SRA) and deterministic SRA (DSRA). These techniques can extract structural mode parameters (frequencies, damping and mode shapes) from limited amounts of data under poor signal-to-noise ratio conditions and can be implemented online. The performance of these algorithms has been shown to be superior to those of other currently available methods on both simulated and real data from F-16 and V-22 aircraft View full abstract»

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  • Hybrid adaptive control of two-link flexible manipulators grasping a payload

    Page(s): 705 - 710
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    The hybrid adaptive control algorithms used for flexible manipulators are presented. The advantages of the hybrid adaptive control against the pure continuous-time adaptive control or discrete-time adaptive control are also discussed. From a practical standpoint, the infrequent adjustment of the control parameters makes for more robust adaptive control while from a theoretical point of view, the algorithms are attractive since they provide a unified framework for the design of hybrid adaptive systems. The hybrid adaptive controllers also do not require the complex mathematical model of the arm dynamics or any knowledge of the arm dynamic parameters or the load parameters such as mass and stiffness. Simulation results are given to illustrate the proposed hybrid adaptive control strategies View full abstract»

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  • A frequency-domain model-order-deduction algorithm for nonlinear systems

    Page(s): 1053 - 1058
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    Several model-order deduction algorithms (MODAs) have been developed to coordinate the synthesis of lumped (finite-dimensional), linear system models, of acceptable order, that accurately characterize the behavior of a system over a frequency range of interest (FROI) [ωminmax]. The most recent of these techniques considers the frequency response of the model as the “performance metric” and systematically increases model complexity until the frequency response over a FROI has converged to within a user-specific tolerance. The linear MODA algorithm based on frequency response is being extended to support the synthesis of models of nonlinear systems. This technique follows a procedure similar to the linear frequency-domain algorithm, but uses a describing-function approach to develop an amplitude-dependent characterization of the nonlinear system frequency response. The extended algorithm synthesizes model that are also of low order; in addition, they include only those nonlinear effects that influence the frequency response significantly over the FROI and for an amplitude range of interest View full abstract»

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  • Inverting mode failure recovery: application to the drive of a DC generator supplied by a three-phase thyristor converter

    Page(s): 383 - 388
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    In this paper, we present a new control strategy for industrial applications with static converters. It is based on a reconfiguration of the firing sequence and on a resetting of a digital controller. Applied to the nonautonomous inverting mode it allows guarantee of a maximal efficiency without decreasing the dependability of the electromechanical process View full abstract»

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  • Application of discrete time model regulation to force control in automated polishing

    Page(s): 766 - 767
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    Discrete time model regulation (DMR) is applied to a force control loop characteristic of automated polishing in this paper. Robustness of DMR to plant modeling error is analyzed first. Then, simulation results are used to demonstrate the effectiveness of DMR for automated polishing View full abstract»

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  • A neural networks based approach for fault detection and diagnosis: application to a real process

    Page(s): 188 - 193
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    This paper proposes a new fault detection and diagnosis (FDD) method based on the online parameter estimation using the frequency contents of the signals and backpropagation neural networks. When a fault occurs the parameters in a nonlinear mathematical model of the process change. A method for detecting and tracking the different values of the parameters is proposed, which tries to be robust with respect to low frequency disturbances. The new FDD method together with a classical fault detection method are applied to a wastewater treatment plant, placed in Manresa, Spain. A set of real experiments are presented in order to compare and validate the methods in industrial applications View full abstract»

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  • Emergency power system control following a saddle node bifurcation

    Page(s): 73 - 78
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    Restructuring in the electric power industry will result in system operation at higher levels of loading, increasing the potential for voltage instability due to a saddle node bifurcation. In this paper we present a computationally efficient method for emergency system control following such an event. The method only needs information typically available from a state estimator; it does not require the user to supply detailed models of system dynamics View full abstract»

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  • Sliding control retrofit for a thermal power plant

    Page(s): 409 - 414
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    Preliminary results of a sliding mode controller retrofit for a thermal power plant are presented. The proposed sliding mode controller replaces the existing multi-loop PID controller on the water/steam side of the thermal power plant. The choice of the sliding mode control scheme is appropriate as it embodies an inherent robustness to modeling errors and parameter variations. The sliding mode controller is validated by simulations using a 21st order thermal power plant model View full abstract»

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  • Modeling and identification of a triaxial shaker control system

    Page(s): 884 - 889
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    Computer modeling and simulation has been a successful tool in the design of complex control systems. This paper discusses a computer simulation that is being developed to evaluate a controller for a triaxial shaker system. The shaker system has eight inputs and six outputs. Frequency response data from testing of the actual system has been used to identify parameters for the model View full abstract»

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  • Sliding mode control and state estimation for nonlinear singularly perturbed systems. Application to an induction electric machine

    Page(s): 998 - 1003
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    A nonlinear control-observer structure for a class of nonlinear singularly perturbed systems, based on a two-time scale sliding-mode control and an output injection state estimator, is presented. This structure is applied to the model of an induction motor View full abstract»

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  • A medium power PV-array simulator with a robust control strategy

    Page(s): 40 - 45
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    This paper introduces strategies to simulate photovoltaic arrays with arbitrary and reproducible insolation conditions. The operating point of the simulator can be controlled and it is stable, so electrical tests and comparisons can be made with high accuracy. Medium power units (1 kW) were built using an efficient switch-mode strategy together with a novel control strategy having superior performance under variable load conditions. This new control strategy can also be used in many other applications in power electronics View full abstract»

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  • Synchronous design of a transformer station controller with SIGNAL

    Page(s): 754 - 759
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    This paper presents the specification and validation of the automatic circuit-breaking control system of an electric power transformer station. It handles the reaction to electrical defects on the high voltage lines. The purpose of this study is to construct a discrete event control system based on digital technology. To this end, the authors use the synchronous approach to reactive real-time systems, and in particular the data flow language SIGNAL, and it tools for specification, formal verification, simulation, and implementation. The hierarchical, state-based and preemptive controller is implemented with SIGNAL and its extension for preemptive tasks SIGNALGTi. A graphical simulator supports validation of the specification View full abstract»

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