Isbn: 9781032791920 - intelligent control for electric power systems and electric vehicles (7 risultati)

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: Brand New. 576 pages. 6.14x1.19x9.21 inches. In Stock.

Condizione: New. Dr. Gerasimos Rigatos obtained his diploma (1995) and his Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher at IRI.

Taschenbuch. Condizione: Neu. Neuware - 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. …

Paperback. Condizione: new. Paperback. 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 variablesContains 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 loadFosters the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power gridSuitable 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 The contents of the present monograph on Intelligent Control for Electric Power Systems and Electric Vehicles, are outlined as follows This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …