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Advanced Control of Electrical Drives and Power Electronic Converters by Jacek Kabzinski Book Details
| Book Name | Advanced Control of Electrical Drives and Power Electronic Converters |
| Author | Jacek Kabzinski |
| Category | Electrical And Electronics Engineering Books, Education Books |
| Book Language | English |
| Pages | 391 |
| Country | India |
| Book Size | 38 MB |
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About Advanced Control of Electrical Drives and Power Electronic Converters by Jacek Kabzinski Book
Advanced Control of Electrical Drives and Power Electronic Converters" refers to a specialized area within the field of electrical engineering that focuses on the development and implementation of sophisticated control strategies for electric drives and power electronic converters. This topic explores advanced techniques to enhance the performance, efficiency, and dynamic response of these systems. Here's an overview of what this topic might cover:
1. Advanced Control Techniques:
- Introduction to advanced control methods, such as model predictive control (MPC), adaptive control, optimal control, and nonlinear control.
- Comparison of these techniques with conventional control methods in terms of performance and robustness.
2. Model-Based Control:
- Utilization of mathematical models of electric drives and power electronic converters for controller design.
- Model linearization and controller synthesis based on linear and nonlinear models.
3. Field-Oriented Control (FOC) Enhancement:
- Advanced FOC techniques for AC motor drives, including advanced current control strategies, rotor flux estimation, and sensorless operation.
4. Multilevel Converters and Modulation:
- Control strategies for multilevel power electronic converters, such as neutral-point-clamped (NPC) and cascaded H-bridge topologies.
- Advanced modulation techniques for reducing harmonic distortion and enhancing output voltage quality.
5. Predictive Control and Optimization:
- Model-based predictive control (MPC) applied to electric drives and power converters for optimal performance under varying operating conditions.
- Dynamic optimization of control inputs to achieve specific objectives.
6. Adaptive and Learning Control:
- Techniques that allow control systems to adapt to changing parameters, uncertainties, and disturbances in real-time.
- Machine learning and adaptive algorithms for online tuning and optimization of control parameters.
7. Fault-Tolerant Control:
- Strategies to maintain system performance and stability in the presence of faults, component failures, or disturbances.
- Redundancy and reconfiguration techniques to ensure uninterrupted operation.
8. Digital Signal Processing and FPGA Implementation:
- Use of digital signal processors (DSPs) and field-programmable gate arrays (FPGAs) for real-time implementation of advanced control algorithms.
9. Advanced Applications:
- Implementation of advanced control techniques in specific applications, such as electric vehicles, renewable energy systems, robotics, and industrial automation.
10. Simulation and Case Studies: - Simulation tools and software platforms for designing, simulating, and testing advanced control algorithms. - Real-world case studies showcasing successful implementations of advanced control strategies.
This topic is highly specialized and requires a solid foundation in control theory, power electronics, and electrical machine theory. It is of particular interest to researchers, practitioners, and graduate students who are working on pushing the boundaries of control techniques to achieve higher levels of performance, efficiency, and adaptability in electric drive and power electronic converter systems.
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