Control Oriented Modelling of AC Electric Machines, Masmoudi
Автор: Pedro Castillo Garcia; Rogelio Lozano; Alejandro E Название: Modelling and Control of Mini-Flying Machines ISBN: 1849969779 ISBN-13(EAN): 9781849969772 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Modelling and Control of Mini-Flying Machines is an exposition of models developed to assist in the motion control of various types of mini-aircraft:* Planar Vertical Take-off and Landing aircraft;* helicopters;
Автор: Nelson Boli?var Название: Electric Machines: Principles, Applications, and Control ISBN: 1680944045 ISBN-13(EAN): 9781680944044 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 165390.00 T Наличие на складе: Невозможна поставка. Описание: Electric machines transform electric currents into motion or motion into electric currents. This book offers a comprehensive resource for learning about the fundamental control and functioning of electric machines, focusing on specific examples that suitable for the interested reader.
Автор: Sciavicco Название: Modelling and Control of Robot Manipulators ISBN: 1852332212 ISBN-13(EAN): 9781852332211 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Невозможна поставка. Описание: Introduces the proper tools to find engineering-oriented solutions. This book includes fundamental coverage of kinematics, statics and dynamics of manipulators, and trajectory planning and motion control in free space. It offers technological aspects that include hardware- and software-control architectures and industrial robot-control algorithms.
Автор: Torrey David A. Название: AC Electric Machines and Their Control ISBN: 0982692609 ISBN-13(EAN): 9780982692608 Издательство: Неизвестно Цена: 183910.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: R. Ramanujam Название: Modelling and Analysis of Electrical Machines ISBN: 9384588261 ISBN-13(EAN): 9789384588267 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 46200.00 T Наличие на складе: Невозможна поставка. Описание: Aimed at undergraduate students in electrical and electronics engineering, this book starts with fundamental concepts such as phasors and reference frames, thereby providing smooth transition to more advanced topics.
Автор: Helmut Krakowski Название: Electric Vehicles: Modelling & Simulations ISBN: 1681174146 ISBN-13(EAN): 9781681174143 Издательство: Gazelle Book Services Рейтинг: Цена: 217350.00 T Наличие на складе: Невозможна поставка. Описание: An electric vehicle (EV), also referred to as an electric drive vehicle, uses one or more electric motors or traction motors for propulsion. All-electric vehicles (EVs) run on electricity only. They are propelled by one or more electric motors powered by rechargeable battery packs. EVs have several advantages over vehicles with internal combustion engines. Electric vehicles convert about 59%-62% of the electrical energy from the grid to power at the wheels -- conventional gasoline vehicles only convert about 17%-21% of the energy stored in gasoline to power at the wheels. EVs emit no tailpipe pollutants, although the power plant producing the electricity may emit them. Electricity from nuclear-, hydro-, solar-, or wind-powered plants causes no air pollutants. Electric motors provide quiet, smooth operation and stronger acceleration and require less maintenance than ICEs. However, researchers are working on improved battery technologies to increase driving range and decrease recharging time, weight, and cost. These factors will ultimately determine the future of EVs. EVs first came into existence in the mid-19th century, when electricity was among the preferred methods for motor vehicle propulsion, providing a level of comfort and ease of operation that could not be achieved by the gasoline cars of the time. The internal combustion engine (ICE) has been the dominant propulsion method for motor vehicles for almost 100 years, but electric power has remained commonplace in other vehicle types, such as trains and smaller vehicles of all types. This book focuses on modelling and simulation of electric vehicles and their components. Mathematical models for electrical vehicles and their components were introduced and merged together to make this book a guide for industry, academia and policy-makers.
Автор: Norgaard M., Ravn O., Poulsen N.K., Hansen L.K. Название: Neural Networks for Modelling and Control of Dynamic Systems / A Practitioner`s Handbook ISBN: 1852332271 ISBN-13(EAN): 9781852332273 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.
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