Sensorless AC Electric Motor Control

Sensorless AC Electric Motor Control

Author: Alain Glumineau

Publisher: Springer

Published: 2015-03-16

Total Pages: 258

ISBN-13: 331914586X

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This monograph shows the reader how to avoid the burdens of sensor cost, reduced internal physical space, and system complexity in the control of AC motors. Many applications fields—electric vehicles, wind- and wave-energy converters and robotics, among them—will benefit. Sensorless AC Electric Motor Control describes the elimination of physical sensors and their replacement with observers, i.e., software sensors. Robustness is introduced to overcome problems associated with the unavoidable imperfection of knowledge of machine parameters—resistance, inertia, and so on—encountered in real systems. The details of a large number of speed- and/or position-sensorless ideas for different types of permanent-magnet synchronous motors and induction motors are presented along with several novel observer designs for electrical machines. Control strategies are developed using high-order, sliding-mode and quasi-continuous-sliding-mode techniques and two types of observer–controller schemes based on backstepping and sliding-mode techniques are described. Experimental results validate the performance of these observer and controller configurations with test trajectories of significance in difficult sensorless-AC-machine problems. Control engineers working with AC motors in a variety of industrial environments will find the space-and-cost-saving ideas detailed in Sensorless AC Electric Motor Control of much interest. Academic researchers and graduate students from electrical, mechanical and control-engineering backgrounds will be able to see how advanced theoretical control can be applied in meaningful real systems.


Adaptive Sliding Mode Observer and Loss Minimization for Sensorless Field Orientation Control of Induction Machine

Adaptive Sliding Mode Observer and Loss Minimization for Sensorless Field Orientation Control of Induction Machine

Author: Jingchuan Li

Publisher:

Published: 2005

Total Pages: 128

ISBN-13:

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Abstract: Induction machines are widely used in industry application. Consequently more and more attention has been given to design and development of induction machine control. High performance of induction machine control is achieved by so called field orientation control (FOC). Speed sensorless technology has also been proposed for decades to overcome the disadvantages of cost and fragility of a mechanical speed sensor. However, due to the high order, multiple variables and nonlinearity of induction machine dynamics, the development of advanced induction machine control is still a challenging task. In this research, a sliding mode based flux and speed estimation technique for speed sensorless control of field oriented induction machine is first investigated. The parameter sensitivity of the control method is also analyzed. A robust sliding mode speed controller is also presented, which has the advantage of disturbance rejection and avoiding re-tuning gains comparing to traditional PI controller Then an adaptive sliding mode observer is proposed and the stability is verified by Lyapunov theory. Two sliding mode current observers are utilized to compensate the effects of parameter variation on the rotor flux estimation, which make flux estimation more accurate and insensitive to parameter variation. The convergence of the estimated flux to actual rotor flux is proved by the Lyapunov stability theory. Finally, an efficiency optimization method which does not require extra hardware and is insensitive to motor parameters is presented. The relationship between stator current minimization and motor loss minimization in the induction motor vector control system is investigated. A fuzzy logic based search method is simulated and implemented. It is determined that the motor loss minimization can be achieved by minimizing stator current in practice. An experimental setup is presented in the appendix to verify the proposed approaches. The simulation and experimental results are presented to demonstrate the potential and practicality of the presented approaches.


Induction Motors - Recent Advances, New Perspectives and Applications

Induction Motors - Recent Advances, New Perspectives and Applications

Author: Adel El-Shahat

Publisher: BoD – Books on Demand

Published: 2023-09-13

Total Pages: 224

ISBN-13: 1837695776

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The induction motor is one of the most significant innovations in contemporary history and it officially kicked off the Second Industrial Revolution by significantly enhancing energy generation efficiency. Induction motors are utilized in a wide variety of applications in the modern industrial world. Motivated by the importance of recent advances, new perspectives, and applications of induction motors, this book presents research from distinguished experts in the field. It addresses recent advances in induction motors, optimal solutions in field-oriented control, the association of converters to induction motors, dynamic analysis, optimized design of synergetic control, fault-tolerant control, mathematical modeling, an adaptive system scheme for a sensorless drive, modeling, and simulation of a system with inter-turn faults, sensorless speed observer for industrial drives, and induction motor applications in electric vehicles. This book is useful for undergraduates, graduate students, researchers, professors, and field engineers due to its combination of both theoretical coverage and real-world application concepts.


Applied Intelligent Control of Induction Motor Drives

Applied Intelligent Control of Induction Motor Drives

Author: Tze Fun Chan

Publisher: John Wiley & Sons

Published: 2011-01-19

Total Pages: 401

ISBN-13: 0470828285

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Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives. This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control strategies. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based extended Kalman filter for rotor speed estimation. There are also chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM strategy, and experimental investigations. A chapter is provided as a primer for readers to get started with simulation studies on various AI techniques. Presents major artificial intelligence techniques to induction motor drives Uses a practical simulation approach to get interested readers started on drive development Authored by experienced scientists with over 20 years of experience in the field Provides numerous examples and the latest research results Simulation programs available from the book's Companion Website This book will be invaluable to graduate students and research engineers who specialize in electric motor drives, electric vehicles, and electric ship propulsion. Graduate students in intelligent control, applied electric motion, and energy, as well as engineers in industrial electronics, automation, and electrical transportation, will also find this book helpful. Simulation materials available for download at www.wiley.com/go/chanmotor


Sliding Mode Control in Electro-mechanical Systems

Sliding Mode Control in Electro-mechanical Systems

Author: Vadim Utkin

Publisher: CRC Press

Published: 1999-04-22

Total Pages: 342

ISBN-13: 9780748401161

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Sliding Mode Control (SMC) is gaining increasing importance as a universal design tool for the robust control of linear and nonlinear systems. The strengths of sliding mode controllers result from the ease and flexibility of the methodology for their design and implementation. They provide inherent order reduction, direct incorporation of robustness against system uncertainties and disturbances, and an implicit stability proof. They also allow for the design of high performance control systems at low costs. SMC is particularly useful for electro-mechanical systems because of its discontinuous structure. In fact, since the hardware of many electro-mechanical systems (such as electric motors) prescribes discontinuous inputs, SMC has become the natural choice for direct implementation. The book is intended primarily for engineers and establishes an interdisciplinary bridge between control science, electrical and mechanical engineering.


Sensorless Vector and Direct Torque Control

Sensorless Vector and Direct Torque Control

Author: Peter Vas

Publisher: Oxford, [Eng.] ; New York : Oxford University Press

Published: 1998

Total Pages: 804

ISBN-13:

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This is the first comprehensive book on sensorless high performance a.c. drives. It is essential reading for anyone interestred in acquiring a solid background on sensorless torque-controlled drives. It presents a detailed and unified treatment of sensorless vector-controlled and direct-torque controlled drive systems. It also discusses the applications of artificial intelligence to drives. Where possible, space vector theory is used and emphasis is laid on detailed mathematical and physical analysis. Sensorless drive schemes for different types of permanent magnet synchronous motors, synchronous reluctance motors, and induction motors are also presented. These include more than twenty vector drives e.g. five types of MRAS-based vector drives, and eleven types of direct-torque-controlled (DTC) drives, e.g. the ABB DTC drive. However, torque-controlled switched reluctance motor drives are also discussed due to their emerging importance. The book also covers various drive applications using artificial intelligence (fuzzy logic, neural networks, fuzzy-neural networks) and AI-based modelling of electrical machines. Finally, self-commissioning techniques are also discussed. This is a comprehensive thoroughly up-to-date, and self-contained book suitable for students at various levels, teachers, and industrial readership. Peter Vas is a Professor at the Department of Engineering at the University of Aberdeen, UK, where he is also the Head of the Intelligent Motion Control Group. His previous books published by Oxford University Press are extensively used worldwide.


Sliding Mode Control and Estimation of Induction Motors

Sliding Mode Control and Estimation of Induction Motors

Author: Changxi Jin

Publisher:

Published: 1997

Total Pages: 180

ISBN-13:

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In this thesis we have presented sliding mode approaches to the problems of speed sensorless induction motor torque control and induction motor parameter adaptation. Such problems are commonly encountered in electric drives and many applications such as robotics, electric vehicles, and so on. The specific contributions of the thesis are: First, a new sliding mode flux/speed observer is developed by delicately introducing an auxiliary variable and a design parameter. Combining the sliding mode torque controller, we have thoroughly analyzed the convergence of the flux/speed observer and the asymptotic stability of the closed-loop system. Then, the robustness of the proposed sliding mode cascaded observer/controller scheme is effectively demonstrated by considering the effects of the variations of the rotor resistance, the stator resistance and the load torque. Finally, we have proposed a sliding mode rotor resistance adaptation scheme in the same framework. This scheme overcomes all the limitations of the conventional motor parameter adapatation methods.


Direct Torque Control Strategies of Electrical Machines

Direct Torque Control Strategies of Electrical Machines

Author: Fatma Ben Salem

Publisher: BoD – Books on Demand

Published: 2021-01-20

Total Pages: 174

ISBN-13: 1838802959

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This book deals with the design and analysis of Direct Torque Control (DTC). It introduces readers to two major applications of electrical machines: speed drive and position control and gives the readers a comprehensive overview of the field of DTC dedicated to AC machines. It includes new DTC approaches with and without control of commutation frequency. It also covers DTC applications using artificial intelligence. The book combines theoretical analysis, simulation, and experimental concepts.To make the content as accessible as possible, the book employs a clear proposal in each chapter, moving from the background, to numerical development, and finally to case studies and illustrations. The book is a wide-ranging reference source for graduate students, researchers, and professors from related fields and it will benefit practicing engineers and experts from the industry.


Advances and Applications in Sliding Mode Control systems

Advances and Applications in Sliding Mode Control systems

Author: Ahmad Taher Azar

Publisher: Springer

Published: 2014-11-01

Total Pages: 592

ISBN-13: 3319111736

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This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software.