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Full Description
The present monograph offers a detailed and in-depth analysis of the topic of Intelligent Control for Electric Power Systems and Electric Vehicles. The monograph provides a comprehensive analysis of various control methods, including nonlinear optimal control, Lie algebra-based control, and differential flatness theory. It addresses the control of electric motors, VSI-fed PMSMs, and energy conversion chains based on PMSMs and induction machines. The work also explores multi-phase machines in gas processing, spherical permanent magnet synchronous motors, traction systems in electric and hybrid vehicles, and renewable power units alongside heat management systems.
Key Features:
Proposes new control methods meant to treat the control problem of the complex nonlinear dynamics of electric power systems and electric vehicles without the need for complicated state-space model transformations and changes of state variables
Contains modular and scalable control schemes which can be applied to a large class of dynamic models of electric power systems and electric vehicles. They have a clear and easy-to- implement algorithmic part, while they also exhibit a moderate computational load
Fosters the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power grid
Suitable for teaching nonlinear control, estimation and fault diagnosis topics with emphasis to electric power systems and to electric vehicle traction and propulsion systems both at late undergraduate and postgraduate levels
Contents
1. Nonlinear optimal control and Lie algebra-based control 2. Differential flatness theory and flatness-based control methods 3. Fault diagnosis with model-based and model-free techniques 4. Control of DC and PMBLDC electric motors 5. Control and fault diagnosis for SG-based renewable energy systems 6. Control of VSI-fed three-phase and multi-phase PMSMs 7. Control of energy conversion chains based on distributed PMSMs 8. Control of energy conversion chains based on Induction Machines 9. Control of multi-phase machines in gas processing and power units 10. Control of spherical PM motors and switched reluctance motors 11. Control of traction and powertrains in EVs and HEVs 12. Control of renewable power units and heat management units 13. Fault diagnosis for electricity microgrids and gas processing units 14. Fault diagnosis for gas and steam-turbine power generation units 15. Fault diagnosis for wind power units and the distribution grid
