Sensorless Vector and Direct Torque Control 1st edition by Peter Vas ISBN 0198564651 978-0198564652

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ISBN 10: 0198564651
ISBN 13: 978-0198564652
Author: Peter Vas

In recent years vector-controlled AC drives have taken over from more conventional DC drives. Applications are found everywhere including machine tools, robotics, electric traction, and computer peripherals. This book examines sensorless vector-controlled drives and direct torque controlled drives. It builds on the author’s popular Vector Control of AC Drives and brings the subject fully up to date.

Sensorless Vector and Direct Torque Control 1st Table of contents:

Preface

• Purpose of the Book
• Target Audience
• Structure of the Book
• Acknowledgments

Chapter 1: Introduction to Motor Control Techniques
1.1. Basics of Electric Motors
1.2. Introduction to Motor Control Methods
1.3. Overview of Vector Control and Direct Torque Control
1.4. Advantages of Sensorless Control Techniques
1.5. Applications of Sensorless Control in Industry

Chapter 2: Fundamentals of Vector Control (Field-Oriented Control)
2.1. Overview of Vector Control Principles
2.2. Rotor Flux Alignment and Control
2.3. Mathematical Modeling of Synchronous Motors
2.4. Decoupling of Torque and Flux Control
2.5. Implementation of Vector Control for AC Motors
2.6. Control Strategies and Algorithms
2.7. Practical Considerations in Vector Control

Chapter 3: Direct Torque Control (DTC) of Induction Motors
3.1. Principles of Direct Torque Control
3.2. Torque and Flux Control Using DTC
3.3. Mathematical Model of Induction Motors
3.4. Comparison of DTC with Field-Oriented Control
3.5. Control Strategy Implementation for Induction Motors
3.6. Advantages and Limitations of DTC
3.7. Practical Applications of DTC

Chapter 4: Sensorless Control of Electric Motors
4.1. Introduction to Sensorless Control Methods
4.2. Challenges and Benefits of Sensorless Control
4.3. Estimating Rotor Position and Speed Without Sensors
4.4. Techniques for Sensorless Control: Back EMF, Model-Based, and Observer-Based Methods
4.5. Sensorless Control for Induction Motors
4.6. Sensorless Control for Permanent Magnet Synchronous Motors (PMSM)
4.7. Comparison of Sensorless and Conventional Control Systems

Chapter 5: Estimation Techniques for Sensorless Control
5.1. Motor Parameter Estimation Methods
5.2. High-Frequency Injection Method
5.3. Sliding Mode Observer (SMO) for Sensorless Control
5.4. Extended Kalman Filter (EKF) for Speed and Position Estimation
5.5. State Observers and Luenberger Observer Design
5.6. Estimation of Motor Parameters in Dynamic Conditions
5.7. Practical Considerations in Estimation Algorithms

Chapter 6: Integration of Sensorless Control with Inverter Systems
6.1. Overview of Power Inverters in Motor Control
6.2. Inverter Control and Switching Strategies
6.3. Integration of Sensorless Vector Control with Voltage Source Inverters
6.4. Integration of DTC with Inverter Systems
6.5. Harmonics and Efficiency in Inverter-Driven Systems
6.6. Fault Diagnosis and Protection in Inverter Systems
6.7. Simulation of Sensorless Control with Inverters

Chapter 7: Advanced Topics in Sensorless Vector and Direct Torque Control
7.1. Field-Oriented Control with Advanced Modulation Techniques
7.2. Advanced Estimation Algorithms for High-Speed Motors
7.3. Improved Algorithms for Low-Speed Operation
7.4. Sensorless Control for Multi-Motor Systems
7.5. Speed Sensorless Operation in Permanent Magnet Motors
7.6. Use of Artificial Intelligence and Machine Learning in Motor Control
7.7. Optimization of Control Algorithms for Real-Time Applications

Chapter 8: Applications of Sensorless Vector and Direct Torque Control
8.1. Industrial Applications: Robotics and Automation
8.2. Electric Vehicles and Hybrid Electric Vehicles
8.3. HVAC Systems and Pumps
8.4. High-Performance Drives in Industrial Machines
8.5. Wind Turbine Systems
8.6. Application in Small and Medium Power Motors
8.7. Emerging Trends in Motor Control Applications

Chapter 9: Challenges and Future Trends in Motor Control
9.1. Challenges in Sensorless Control Algorithms
9.2. Overcoming Low-Speed and Start-Up Issues
9.3. Control Under Fault Conditions
9.4. Power Efficiency and Thermal Management
9.5. Integration of Sensorless Control with Renewable Energy Systems
9.6. Future Trends in Motor Control: Digital Twins and Smart Motors
9.7. Industry 4.0 and the Role of Advanced Control Techniques

Chapter 10: Case Studies in Sensorless Control Implementation
10.1. Case Study 1: Sensorless Control of PMSM in Electric Vehicles
10.2. Case Study 2: Direct Torque Control of Induction Motors in Industrial Drives
10.3. Case Study 3: Sensorless Motor Control in Robotics Applications
10.4. Case Study 4: Integration of Sensorless Control with Renewable Energy Systems
10.5. Case Study 5: Performance Evaluation of DTC in High-Performance Drives
10.6. Lessons Learned and Practical Insights from Real-World Implementations

Appendices
A.1. Glossary of Terms
A.2. List of Symbols and Abbreviations
A.3. References for Further Reading
A.4. MATLAB/Simulink Models and Simulations
A.5. Index

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