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Control Systems Technology, IEEE Transactions on

Issue 2 • Date March 2003

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Displaying Results 1 - 16 of 16
  • List of reviewers for 2002

    Page(s): 161 - 163
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    Freely Available from IEEE
  • An improved indirect field-oriented controller for the induction motor

    Page(s): 248 - 252
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (354 KB) |  | HTML iconHTML  

    In this paper, the standard indirect field-oriented controller (IFOC) commonly used in current-fed induction motor drives is modified to achieve global exponential rotor velocity/rotor flux tracking. The modifications to the IFOC scheme, which involve the injection of nonlinear terms into the current control input and the so-called desired rotor flux angle dynamics, facilitate the construction of a standard Lyapunov stability argument. The construction of a standard Lyapunov exponential stability argument allows one to easily design adaptive controllers to compensate for parametric uncertainty associated with the mechanical load. Simulation results are included to illustrate the improvement in performance over the standard IFOC scheme. View full abstract»

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  • Modeling and identification of Wiener systems with two-segment nonlinearities

    Page(s): 253 - 257
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (265 KB) |  | HTML iconHTML  

    The paper deals with modeling and parameter identification of Wiener systems with strongly asymmetric nonlinearities for control. Two-segment polynomial approximations are proposed for static nonlinear block characteristics. Application of a decomposition technique provides a special form of the Wiener model with two-segment polynomials, where all the model parameters to be estimated are separated. An iterative method with internal variable estimation is used for the model parameter estimation. View full abstract»

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  • Self-tuning regulator design for nodal voltage waveform control in electrical power systems

    Page(s): 258 - 266
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (484 KB) |  | HTML iconHTML  

    The paper presents a systematic approach to self-tuning regulator design for nodal voltage waveform control in electrical power systems by means of shunt power electronic devices (SPEDs). The proposed approach is structured into three main tasks. In the first one, starting from the sampled measurements of the nodal voltage and of the current, which is injected by the SPED into the power system, a Kalman filtering technique is adopted to estimate the voltage and current phasors at fundamental and harmonic frequencies. These estimates are then used by the second task for the on-line parameter identification of the Thevenin equivalent circuits that represent the electrical power system at each phasor frequency. Finally, in the third task, the closed-loop voltage regulator is adapted so as to satisfy the design requirements expressed in terms of desired closed-loop pole locations. After illustrating the algorithms and the design criteria related to each of the mentioned tasks, the proposed approach has been applied to the design of a self-tuning regulator for the control of an active filter (the SPED) in an IEEE-test industrial electrical system. The results obtained by accurate numerical simulations confirm the validity of the proposed approach. View full abstract»

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  • Analysis and design of servomechanism and its application to disk drives

    Page(s): 233 - 241
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (547 KB) |  | HTML iconHTML  

    This paper presents a new methodology of servomechanism analysis and design using admissible reference velocity profiles. We define an admissible reference velocity profile and its conditions. Control laws are proposed for seek and settle servo using the admissible profiles. A linear extension to the profile is introduced in the design of the settle servo for smooth settling. Global asymptotic stability of the target point with the servo system is also shown. Simple and systematic design procedures are proposed to determine the servo design parameters. The usefulness of the proposed technique is demonstrated through an application to a disk drive. View full abstract»

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  • Iterative learning control for soft landing of electromechanical valve actuator in camless engines

    Page(s): 174 - 184
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (699 KB) |  | HTML iconHTML  

    Variable valve timing allows improvements of internal combustion engines and can be achieved by camless actuation technology. In this paper we consider an electromechanical valve (EMV) actuator. One of the main problems in the EMV actuator is the noise and wear associated with high contact velocities during the closing and opening of the valve. The contact velocity of the actuator parts can be reduced by designing a tracking controller that consists of a linear feedback and a nonsquare iterative learning controller (ILC). With the ILC methodology we update the feedforward signal of the feedback controller every cycle based on the error between the actual valve position and the desired position. The methodology is reviewed and both simulation and experimental results are presented. We explore the disturbance rejection capability of the control scheme by simulating conditions with an unknown force acting on the valve similar to the ones present during varying engine load. View full abstract»

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  • Applications of adaptive feedback active noise control system

    Page(s): 216 - 220
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (354 KB) |  | HTML iconHTML  

    This paper presents the experimental results of using the single-channel adaptive feedback active noise control (AFANC) algorithm with an innovative setup to achieve global attenuation of industrial machine noise in settings such as large manufacturing plants. An effective solution of using active/passive techniques and three distributed error sensors is proposed. The performance of the AFANC algorithm is verified by real-time experiments using the TMS320C32 DSP to control vibratory bowl and welding power generator noises. The experiments results show that this single-channel AFANC system can effectively reduce the noise level and is cost effective, portable, and easy for installation to control many noisy sources in large spaces. View full abstract»

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  • Adaptive sinusoidal disturbance cancellation for precise pointing of Stewart platforms

    Page(s): 267 - 272
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (497 KB) |  | HTML iconHTML  

    This paper combines an adaptive sinusoidal disturbance cancellation scheme with fault tolerant pointing algorithms for Stewart platforms. This results in a fault-tolerant pointing system capable of low-frequency tracking, mid-frequency rejection of large monotone disturbances, and high-frequency passive vibration isolation. Since often the frequency of the monotone sinusoidal disturbance cannot be precisely known, a phase-locked loop (PLL) algorithm is used to catch the frequency and a method for PLL design is developed. Experimental results on the University of Wyoming Stewart platform demonstrate that pointing errors caused by a monotone disturbance decrease 50-fold even in the presence of multiple actuator failures. View full abstract»

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  • Robust magnetic bearing control via eigenstructure assignment dynamical compensation

    Page(s): 204 - 215
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (759 KB) |  | HTML iconHTML  

    This paper deals with the robust control of a basic current-controlled magnetic bearing by an output dynamical compensator. Based on a parametric approach for eigenstructure assignment and a linearized model of the magnetic bearing system, a general explicit parametric expression for all the first-order dynamical compensators assigning desired nondefective closed-loop eigenstructure is obtained. This parametric expression is expressed in terms of the closed-loop eigenvalues and a free parameter. Through optimizing this free parameter and the closed-loop eigenvalues, a dynamical compensator is obtained which gives insensitive closed-loop eigenvalues, effectively attenuates the effect of the disturbance, and uses small control effort. To ensure desired closed-loop dynamical performance, the closed-loop eigenvalues are optimized within some desired regions on the left-half complex plane. Measures are also taken to ensure the robust stability of the closed-loop system in the case of large system parameter perturbations. The proposed approach is applied to a flywheel which is supported by four current-controlled active magnetic bearings. Nonlinear simulation and experimental results show the effect of the proposed approach. View full abstract»

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  • Adaptive mode tuning for vibrational gyroscopes

    Page(s): 242 - 247
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (526 KB) |  | HTML iconHTML  

    We present an adaptive controller for tuning the natural frequency of the drive axis of a vibrational gyroscope. This is an attractive alternative to a phase-locked loop, since it introduces feedback, which can reduce the effects of imprecise fabrication. We also operate the gyroscope at a fixed frequency, chosen by the designer, which can simplify signal processing. View full abstract»

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  • Asymptotically exact linearizations for active magnetic bearing actuators in voltage control configuration

    Page(s): 185 - 195
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (750 KB) |  | HTML iconHTML  

    We consider the exact linearization of a standard, single-axis, active magnetic bearing actuator in voltage control configuration. The actuator is modeled using the magnetic circuit law, with edge effect, flux leakage, and permeability nonlinearity omitted. Exact linearization of such a plant has been studied by other authors using the systematic Lie-algebra-based approach. In this paper, we present linearizations that turn out to be not obtainable by the systematic approach. Three such linearizations are given. They are asymptotically exact and more simple than the existing linearizations. In addition to position signal, they use flux feedback, current feedback, and observer-based feedback, respectively. Their performances are investigated and compared by experiment. While they are observed to be not so exact (due to modeling errors), they do significantly improve the linearity and closed-loop stability robustness. Then, one of them is revised by taking account of edge effect and flux leakage, which gives very satisfactory results. Finally, effects of variation in coil copper resistance are investigated. View full abstract»

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  • A novel adaptive control law for underwater vehicles

    Page(s): 221 - 232
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (773 KB) |  | HTML iconHTML  

    This paper proposes an approach to the design of control laws for underwater vehicles that takes into account the hydrodynamic effects affecting the tracking performance. To this aim, a suitable adaptive action based on appropriate kinematic transformations between the earth-fixed frame and the vehicle-fixed frame is developed. The proposed control law adopts quaternions to represent attitude errors, thus avoiding representation singularities that occur when using instead Euler angles. The stability of the designed control law is demonstrated by means of a Lyapunov-based argument. In view of practical implementation, a simplified version of the developed control law is also proposed that compensates only the persistent hydrodynamic terms, namely, the restoring generalized forces and the ocean current. Finally, the tracking performance of the proposed control law is analyzed in comparison to that of other existing control laws available in the literature. The obtained simulation results confirm the effectiveness of the proposed technique. View full abstract»

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  • Intelligent engine control using an adaptive critic

    Page(s): 164 - 173
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (510 KB) |  | HTML iconHTML  

    Neural networks (NNs) have been successfully used for implementing control architectures for different applications. In this paper, we examine NN augmented intelligent control of a turbo-fan engine toward the goal of minimizing a performance measure on-line. This architecture utilizes an adaptive critic to estimate the engine performance, which is then used to train an NN demand generator for minimizing the performance measure. The present architecture is implemented on a nonlinear model that was provided by General Electric. The model simulates a changed engine by changing the flow and efficiency scalars of the various components of the engine. Results of using the adaptive critic-based performance seeking control architecture show excellent improvement in performance over time. View full abstract»

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  • On-line dead-time compensation method based on time delay control

    Page(s): 279 - 285
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    In this work, an on-line dead-time compensation method based on a time delay control for a pulse-modulation (PM) synchronous motor drive is presented. Disturbance voltages caused by the dead time are estimated on-line without any additional circuits nor off-line experimental measurements. The estimated disturbance voltages are fed back to the voltage reference as compensation. The proposed method is applied to a PM synchronous motor drive system and implemented using a DSP TMS320C31. The experimental results show the effectiveness of the proposed method. View full abstract»

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  • Robust practical stabilization of nonlinear uncertain plants with input and output nonsmooth nonlinearities

    Page(s): 196 - 203
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (559 KB) |  | HTML iconHTML  

    This paper addresses the stabilization problem of "sandwich systems," i.e., intrinsically nonlinear and uncertain single-input-multiple output (SIMO) plants containing simultaneously either backlash or dead zone in the actuator and dead zones in sensors. The proposed controllers, based on sliding mode control, have been shown to achieve state (hence output) boundedness. The rationale followed in control design consists in ensuring the achievement of a sliding motion which, in turn, guarantees the attraction of the state vector toward a boundary layer, whose maximum width depends on the uncertainty in output measurements caused by the presence of unknown dead zones in sensors. Furthermore, the control laws have been designed as to simultaneously guarantee also the avoidance of actuator nonlinearities, ensuring that the "forbidden region" of dead zone and backlash are never entered, even in the presence of uncertainties. The proposed schemes do not require inversion of nonlinearity. Simulation results show the effectiveness of the proposed controllers. View full abstract»

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  • Self-learning fuzzy sliding-mode control for antilock braking systems

    Page(s): 273 - 278
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (432 KB) |  | HTML iconHTML  

    The antilock braking system (ABS) is designed to optimize braking effectiveness and maintain steerability; however, the ABS performance will be degraded in the case of severe road conditions. In this study, a self-learning fuzzy sliding-mode control (SLFSMC) design method is proposed for ABS. The SLFSMC ABS will modulate the brake torque for optimum braking. The SLFSMC system is comprised of a fuzzy controller and a robust controller. The fuzzy controller is designed to mimic an ideal controller and the robust controller is designed to compensate for the approximation error between the ideal controller and the fuzzy controller. The tuning algorithms of the controller are derived in the Lyapunov sense; thus, the stability of the system can be guaranteed. Also, the derivation of the proposed SLFSMC ABS does not need to use a vehicle-braking model. Simulations are performed to demonstrate the effectiveness of the proposed SLFSMC ABS in adapting to changes for various road conditions. View full abstract»

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