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Development of Adaptive Speed Observers for Induction Machine System Stabilization
Ahmed A. Zaki Diab, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, Yehia Sayed Mohammed
Verlag Springer-Verlag, 2020
ISBN 9789811522987 , 95 Seiten
Format PDF, OL
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About This Book
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IntroductionThe speed sensorless vector control techniques of induction motor drives are used in high performance applications. These techniques generally require an accurate determination of the machine parameters, rotor flux and motor speed. It uses a full order-type adaptive rotor flux observer that takes parameters variation into account to achieve high steady state performance without spoiling the dynamic response.In this book, an adaptive state observer is derived based on the induction machine model. A modified gain rotor flux observer with a parameter adaptive scheme has been proposed for sensorless vector control induction motor drives. The optimal value of the observer gain has been proved by minimizing the error between the measured and estimated states. Also, the stability of the proposed observer with the parameter adaptation scheme is proved by the Lyapunov’s theorem.The application of sensorless vector control drives to control a photovoltaic (PV) motor pumping system has been presented in this book. The principle of vector control has been applied to control the single stage of voltage source inverter (VSI) feeding the three-phase induction motor. The main objective of this work is to design and analyze a single stage maximum power point tracking (MPPT) from PV module and eliminate the speed encoder. Elimination of the speed encoder aims to increase the reliability of the PV motor pumping system. Therefore, a full order adaptive state observer has been designed to estimate the rotor speed of the motor pumping system. Moreover, the incremental conductance method is used for achieving MPPT of the PV system. The control scheme with full order adaptive state observer has been investigated under different operating conditions of varying natures of solar radiation and air temperature. The simulation results show that the response of the PV motor pumping system with the adaptive speed observer has a good dynamic performance under different operating conditions.In order to improve the dynamic response and to overcome the problems of the classical speed controller (such as overshoot, long settling time and oscillations of motor speed and torque), a robust controller design based on the H? theory for high performance sensorless induction motor drives is implemented. The proposed controller is robust against system parameter variations and achieves good dynamic performance. In addition, it rejects disturbances well and can minimize system noise. The H? controller design has a standard form that emphasizes the selection of the weighting functions that achieve the robustness and performance goals of motor drives in a wide range of operating conditions. The model reference adaptive system (MRAS) is used to estimate the motor speed based on the measurement of stator voltages and currents. In this work, the stability of the estimator scheme is discussed and proved based on Popov’s criterion. To investigate the effectiveness of the proposed control scheme at different operating conditions (such as a sudden change of the speed command/load torque disturbance), its performance is compared with those of the classical control one. Experimental and simulation results demonstrate that the presented control scheme with the H? controller and MRAS speed estimator has an accurate estimated motor speed and a good dynamic performance.
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Contents
9
About the Authors
12
Abbreviations
15
Symbols
16
List of Figures
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1 Introduction and Background of Induction Machine System Stabilization
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1.1 Research Objectives
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1.2 Organization of the Book
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References
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2 Literature Review of Induction Motor Drives
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2.1 Introduction
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2.2 Rotor Flux Estimator for Sensorless Induction Motor
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2.3 Rotor Flux Observer for Sensorless Induction Motor
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2.4 Effect of Speed Estimation Methodology on Sensorless Induction Motors
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2.5 Adaptive Speed Observer for Sensorless Vector Control for Motor Pumping System Applications
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2.6 Effect of Parameter Variation of the Speed Controllers on Sensorless Induction Motors
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2.6.1 Speed Controller Based on Classical PI Controller
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2.6.2 Speed Controller Based on Fuzzy Logic Controller
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2.6.3 Speed Controller Based on Linear Quadratic Gaussian Method
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2.6.4 Speed Controller Based on HInfinity Control Theory
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References
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3 Development and Stabilization of Adaptive State Observers for Induction Machines
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3.1 Introduction
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3.2 Dynamic Model of the Induction Machine
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3.3 Full Order Adaptive State Observer
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3.4 Adaptive Observer Scheme for Motor Parameters and Speed Estimation
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3.5 Developed Gain of Adaptive Rotor Flux Observer
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3.6 Model Reference Adaptive System for Speed Estimation
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3.6.1 Conventional Model Reference Adaptive System
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3.6.2 Modified Model Reference Adaptive System
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References
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4 Sensorless Vector Control for Photovoltaic Array Fed Induction Motor Driving Pumping System
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4.1 Introduction
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4.2 Description of the Proposed Standalone PV Motor Pumping System
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4.3 Modeling of the Proposed Standalone PV Motor Pumping System
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4.3.1 Modeling of the Photovoltaic Cell
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4.3.2 Estimation of DC Link Capacitor
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4.3.3 Design of the Centrifugal Pump
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4.3.4 PWM VSI Based Current Controller Scheme
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4.3.5 Dynamic Model of Induction Motor
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4.4 Proposed Control Scheme for PV Motor Pumping System
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4.4.1 MPPT Control Algorithms
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4.4.2 Field Oriented Control of Induction Motor Drive
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4.5 Proposed Full Order Adaptive Speed Observer
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4.6 Simulation Results
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References
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5 Robust Speed Controller Design Using H? Theory for High Performance Sensorless Induction Motor Drives
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5.1 Introduction
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5.2 Modeling of Vector Controlled Induction Motor Drives
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5.3 Design of the Proposed Robust Controller Based on H? Theory
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5.4 Robust Speed Estimation Based on MRAS Techniques for an IFO Control
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5.5 Proposed Sensor-Free Induction Motor Drive for High-Performance Applications
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5.6 Simulation and Experimental Results
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5.6.1 Simulation Results and Discussions
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5.6.2 Experimental Results and Discussions
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References
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6 Conclusions and Recommendation for Future Work
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6.1 Conclusions
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6.2 Suggestion for Future Work
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Appendix A Technical Specifications of the PV Module and Induction Motor Under Study
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A.1 PV Module Specifications
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A.2 Induction Motor Specifications
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Appendix B Induction Motor Parameters and Technical Specifications
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Appendix C Digital Signal Processor Kit
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C.1 DSP Controller Design
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C.2 DSP Based High Voltage Digital Motor Control Kit
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C.2.1 Features of the TMS320F28035 System
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C.2.2 Features of the High Voltage Motor Control and PFC Board
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References
95
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