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Annual Conference of the IEEE Industrial Electronics Society

作者： S. DIAO Z. MAKNI J. F. BISSON D. DIALLO C. MARCHAND Valeo Group Electronics Expertise and Development Services Laboratoire de Genie Electrique de Paris CNRS

ISBN: (纸本)9781479902255

The paper describes a Fault Detection and Diagnosis structure of mechanical and current sensors faults of a Permanent Magnet Synchronous Machine (PMSM) drive. The method is based on two interconnected observers: an Extended Kalman Filter (EKF) and a model reference adaptive System (MRAS) observer. The EKF, thanks to its optimality is designed to estimate the position in case of mechanical sensor fault and despite sensor current fault. The MRAS estimates the phase currents using the actual position and speed. The computation and sort of the residuals (difference between measured and estimated values) allows the fault isolation. The structure is evaluated on a 1.1 kW test bed with mechanical and phase current sensor faults. The experimental results are so far promising with the capability of detection and diagnosis of the proposed structure.

关键词： Electrical drive Extended Kalman Filter Fault detection Fault diagnosis Fault isolation model reference adaptive System Permanent magnet Motor Observers Sensor fault fault isolation Defect detection electric drives Permanent magnet synchronous machines Fault diagnosis Extended Kalman filters model reference adaptive control Observers Phase current Current sensors physical location MRAS gene

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A New model reference adaptive Formulation to Estimate Stator Resistance in Field Oriented Induction Motor Drive

A New Model Reference Adaptive Formulation to Estimate Stato...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Saptarshi Basak A. V. Ravi Teja Chandan Chakraborty Yoichi Hori Department of Electrical Engineering Indian Institute of Technology Kharagpur Department of Advanced Energy Graduate School of Frontier Sciences University of Tokyo

ISBN: (纸本)9781479902255

A novel model reference adaptive system based stator resistance estimation algorithm has been proposed in this paper. A new functional candidate is introduced which is positive definite and does not depend on speed information for resistance estimation. This formulation decouples stator resistance and speed estimation in case of a Q-MRAS based sensorless drive. Also, restriction on selection of estimator gains becomes less rigid when the proposed estimator is used for stator resistance compensation in an X-MRAS based drive. Extensive simulation using MATLAB/SIMULINK and experimentation in dSPACE 1104 based laboratory prototype has confirmed the effectiveness of the proposed technique.

关键词： Stator Resistance Estimation MRAS Sensorless Drive Induction Motor Vector control Reactive Power MRAS MRAS gene stator resistance induction motors induction motor drives Pest control Vector control field orientation Speed Estimation model reference adaptive control model reference Positive definite Sensors

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model reference adaptive control using quadratic and Non-Quadratic Lyapunov Functions - Part I

Model reference adaptive control using quadratic and Non-Qua...

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China-Ireland International Conference on Information and Communications Technologies, CIICT 2007

作者： Rao, M.P.R.V. Whyte, R.P. School of Elect. and Mech. Eng. University of Ulster Jordanstown Campus Newtownabbey Belfast BT37 0QB United Kingdom

ISBN: (纸本)9780863418273

In the design of model reference adaptive control (MRAC) schemes, adaptive laws have been developed based on Lyapunov stability theory. Over the past few decades it has been a common practice to use Quadratic Lyapunov Functions (QLF) and recently, in a similar spirit, Non-Quadratic Lyapunov Functions (NQLF) have been used. This paper, using a new Lyapunov Function based on both QLF and NQLF, presents new adaptive laws for MRAC. These new laws have been shown to overcome the drawbacks of the laws based on either QLF or NQLF alone. Finally, this paper also presents simulation results supporting the arguments.

关键词： model reference adaptive control

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Experimental implementation and validation of a novel minimal control synthesis adaptive controller for continuous bimodal piecewise affine systems

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control ENGINEERING PRACTICE 2012年第3期20卷 269-281页

作者： di Bernardo, Mario Velasco, Carlos Ildefonso Hoyos Montanaro, Umberto Santini, Stefania Univ Naples Federico II Dept Syst & Comp Engn Naples Italy CNR Ist Motori Naples Italy

This paper presents the first digital implementation of a novel model reference adaptive scheme for the control of continuous bimodal piecewise affine systems. The algorithm is based on the minimal control synthesis algorithm, originally developed as a MRAC for smooth systems. The resulting adaptive algorithm is a switched feedback controller able to cope with uncertain continuous PWA systems. The analogue continuous-time control law is implemented by using a digital low-cost commercial microcontroller. The aim is to control a piecewise-linear electrical circuit. The experimental validation process is made challenging by the presence of measure uncertainties, noise, quantization errors, unmodeled nonlinear dynamics and computational delays. Experiments confirm the effectiveness of the controller to cope with switching in the circuit dynamics, establishing the strategy as a viable control tool. Nevertheless, the experimental analysis provides a first insight into the robustness of the algorithm. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Piecewise linear controllers model reference adaptive control Validation Implementation Discontinuous control

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An output-feedback adaptive actuator failure compensation controller for systems with unknown state delays

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NONLINEAR DYNAMICS 2012年第4期67卷 2397-2410页

作者： Kamali, Marzieh Askari, Javad Sheikholeslam, Farid Isfahan Univ Technol Dept Elect & Comp Engn Esfahan 84156 Iran

This paper presents an output-feedback adaptive controller for a class of linear systems with unknown time-varying state delay and in the presence of actuator failures. We consider a common type of actuator failure in which some unknown system inputs may be stuck at some unknown fixed values and at unknown time instants. The adaptive controller is designed based on SPR-Lyapunov approach for relative degree one and two cases. Closed-loop system stability and asymptotic output tracking are proved using suitable Lyapunov-Krasovskii functional for each case. Simulation results are provided to demonstrate the effectiveness of the proposed results.

关键词： model reference adaptive control Output feedback Actuator failure State delay systems

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Auto-tuning and adaptive control of sheet metal forming

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control ENGINEERING PRACTICE 2012年第2期20卷 156-164页

作者： Lim, Yongseob Venugopal, Ravinder Ulsoy, A. Galip Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA Intellicass Inc Montreal PQ H3H 1N4 Canada

This paper describes the design and implementation of automatic controller tuning and model reference adaptive control (MRAC) to improve part quality in stamping and extends previous work on a manually-tuned fixed-gain process controller. Automatic tuning is described with a discussion of implementation issues in the presence of plant disturbances. Design of a direct MRAC, whose controller gains are continuously adjusted to accommodate changes in process dynamics and disturbances, is investigated, including simulation-based robustness analysis of the adaptation law and a consideration of constrained estimation in the recursive least squares algorithm to address practical implementation issues. The performance of the MRAC process controller designed through simulation is experimentally validated. Good tracking of the reference process variable (i.e., punch force), and significant part quality improvement in the presence of disturbances, is achieved. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Stamping (Sheet Metal Forming) Auto-tuning model reference adaptive control Process dynamics and disturbances Recursive least squares

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Widely convergent method for finding solutions of simultaneous nonlinear equations

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ELECTRIC POWER SYSTEMS RESEARCH 2012年第1期83卷 9-18页

作者： Xie, Ning Bompard, Ettore Napoli, Roberto Torelli, Franco Politecn Torino Dept Elect Engn I-10129 Turin Italy Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China Politecn Bari Dept Elect Engn I-70125 Bari Italy

The authors propose a new approach for solving the nonlinear problem, based on a model-reference adaptive control (MRAC). The algorithm is composed of three parts: a plant containing unknown parameters, a reference model for compactly specifying the desired output and an adaptation mechanism for updating the adjustable parameters. The structure of the adaptation mechanism is explicitly designed so that the asymptotical stability is guaranteed according to Lyapunov theorem. The method reformulates the algebraic nonlinear equations into a set of ordinary differential equations, whose equilibrium point corresponds to the solution of the original nonlinear problems. The stability and region of attraction coincide with entire state space no matter whether the parameters reside in solvable region or unsolvable region. (C) 2011 Elsevier B.V. All rights reserved.

关键词： model reference adaptive control Power flow Lyapunov theorem

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adaptive control of Piecewise Linear Systems: the State Tracking Case

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IEEE TRANSACTIONS ON AUTOMATIC control 2012年第2期57卷 522-528页

作者： Sang, Qian Tao, Gang Univ Virginia Dept Elect & Comp Engn Charlottesville VA 22904 USA

Nonlinear controlled systems at multiple operating points are modeled as piecewise linear systems, where changes in operating points are modeled as switches between constituent linearized systems. This note studies the adaptive state feedback for state tracking control problem for such systems. Piecewise linear reference model systems are used for generating desired state trajectories and their stability properties are studied. adaptive state feedback control schemes are developed, and their stability and tracking performance are analyzed and evaluated by simulation examples. It is shown that exponential tracking performance can be achieved if the reference input is sufficiently rich and the switches are sufficiently slow.

关键词： model reference adaptive control persistency of excitation (PE) piecewise linear systems

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Robust Physical Parameter Estimation by Using MRAC Based on the Inverse Normalized Delta Operator

Robust Physical Parameter Estimation by Using MRAC Based on ...

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Annual Conference of the Society-of-Instrument-and-control-Engineers (SICE)

作者： Aoki, Tatsu Kawata, Seiichi Tokyo Metropolitan Coll Ind Technol Monozukuri Dept Tokyo Japan Adv Inst Ind Technol Tokyo Japan

ISBN: (纸本)9784907764401

The conventional identification algorithm based on the shift operator lacks a physical meaning. Thus, we proposed previously the new method that estimates directly physical parameters by unifying MRAC and the delta form. Since this proposed method needs to calculate the difference on the error between the plant and model output, the algorithm cannot be applied to the high-order systems due to measurement noise. Thus, in this paper we propose the method based on the integral operation by using the inverse normalized delta operator. As an illustration, second-order systems are considered. Simulation results show that this proposed method can accurately estimate the plant parameters in comparison with the conventional RLS under measurement noise. Since the amount of the calculation on the proposed method is very low, the algorithm can be calculated in real-time by using fixed-point microprocessors with short word-length.

关键词： Parameter estimation model reference adaptive control Delta operator Microprocessor control

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Binary MIMO MRAC using a Passifying Multiplier - A smooth transition to Sliding Mode control

Binary MIMO MRAC using a Passifying Multiplier - A smooth tr...

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American control Conference (ACC)

作者： Yanque, Ivanko Nunes, Eduardo V. L. Costa, Ramon R. Hsu, Liu Univ Fed Rio de Janeiro Dept Elect Eng COPPE BR-21941 Rio De Janeiro RJ Brazil

ISBN: (纸本)9781457710964

Binary model reference adaptive control (B-MRAC) combines the advantages of Parameter adaptive control with those of Variable Structure control. It was originally proposed for SISO systems. In this paper, a MIMO version of the B-MRAC is proposed for minimum phase uncertain linear plants with uniform relative degree one. In order to guarantee global stability properties, a passifying multiplier is designed so that the recently introduced generalized passivity condition called WASPR is achieved. This allows it to be applicable without the symmetry assumption on the plant uncertain high frequency gain matrix. The B-MRAC is shown to tend to the unit vector control as the adaptation gain increases to infinity. The benefits of the passifying multiplier are assessed in this transition from adaptive to sliding mode control.

关键词： model reference adaptive control

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