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Modeling, Simulation and Control of Electrical Drives by Mohammed Fazlur Rahman , Sanjeet K. Dwivedi Book Details
| Book Name | Modeling, Simulation and Control of Electrical Drives |
| Author | Mohammed Fazlur Rahman , Sanjeet K. Dwivedi |
| Category | Electrical And Electronics Engineering Books, Education Books |
| Book Language | English |
| Pages | 741 |
| ISBN | 9781785615887 |
| Country | India |
| Book Size | 33 MB |
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About Modeling, Simulation and Control of Electrical Drives by Mohammed Fazlur Rahman , Sanjeet K. Dwivedi Book
Modeling, simulation, and control of electrical drives are fundamental aspects of designing, analyzing, and optimizing the performance of electric motor drive systems. These processes are critical for achieving accurate representation of the system behavior, developing control strategies, and evaluating the system's response to different operating conditions. Here's an overview of each of these aspects:
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Modeling of Electrical Drives:
- Modeling involves creating mathematical representations of the various components and interactions within an electrical drive system.
- Motor models describe the electromechanical behavior of the motor, including torque-speed characteristics, electrical parameters, and dynamic response.
- Power electronics models capture the behavior of converters, inverters, and other control elements.
- Mechanical load models account for the load connected to the motor, such as fans, pumps, or conveyors.
- System models integrate these components and represent their interactions.
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Simulation of Electrical Drives:
- Simulation is the process of using mathematical models to replicate the behavior of an electrical drive system under different conditions.
- Dynamic simulations help analyze the transient response, stability, and performance of the drive system during start-up, speed changes, and load variations.
- Steady-state simulations assess the system's behavior in steady operating conditions and help identify issues such as harmonics, power factor, and efficiency.
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Control of Electrical Drives:
- Control strategies aim to regulate the speed, torque, and position of the motor to achieve desired performance objectives.
- Open-loop control provides basic speed regulation by applying a constant voltage or frequency to the motor.
- Closed-loop (feedback) control utilizes sensors to measure motor variables and adjusts control signals to maintain accurate control.
- Advanced control techniques, such as field-oriented control (FOC) for AC drives, optimize motor efficiency and provide precise control.
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Dynamic Response and Transients:
- Simulation allows analysis of the drive system's behavior during transients, such as start-up, sudden load changes, and braking.
- Control algorithms can be designed and tuned to ensure smooth and rapid response to dynamic changes.
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Parameter Sensitivity and Optimization:
- Simulation helps assess the sensitivity of the drive system's performance to variations in parameters, guiding design decisions.
- Optimization techniques can be applied to tune control parameters for optimal performance, efficiency, and stability.
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Fault Analysis and Diagnostics:
- Simulation can be used to study the impact of faults or malfunctions, aiding in diagnosing and mitigating drive system issues.
- Fault-tolerant control strategies can be developed to ensure the system operates reliably under faulty conditions.
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Integration with Hardware:
- Simulated models can be validated against real-world data obtained from hardware testing, ensuring accuracy and reliability.
Software tools, such as MATLAB/Simulink, PLECS, and other specialized simulation platforms, are commonly used for modeling and simulating electrical drives. These tools offer libraries of pre-built components and mathematical functions for creating accurate drive system models and performing simulations.
Modeling, simulation, and control of electrical drives are essential for achieving optimal performance, energy efficiency, and reliability in a wide range of applications, from industrial machinery to electric vehicles and renewable energy systems.
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