Model-based Nonlinear Control of Aeroengines (Hardcover, 1st ed. 2022)

This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling of aeroengine systems-both component-level and identification-based models will be extensively studied and compared; and (2) advanced nonlinear control designs-set-point control, transient control and limit-protection control approaches will all be investigated. The model-based design has been one of the pivotal technologies to advanced control and health management of propulsion systems. It can fulfil advanced designs such as fault-tolerant control, engine modes control and direct thrust control. As a consequence, model-based design has become an important research area in the field of aeroengines due to its theoretical interests and engineering significance. One of the central issues in model-based controls is the tackling of nonlinearities. There are publications concerning with either nonlinear modelling or nonlinear controls; yet, they are scattered throughout the literature. It is time to provide a comprehensive summary of model-based nonlinear controls. Consequently, a series of important results are obtained and a systematic design methodology is developed which provides consistently enhanced performance over a large flight/operational envelope, and it is thus expected to provide useful guidance to practical engineering in aeroengine industry and research.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	August 2021
First published:	2022
Authors:	Jiqiang Wang • Weicun Zhang • Zhongzhi Hu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	238
Edition:	1st ed. 2022
ISBN-13:	978-981-16-4452-8
Categories:	Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > Engines & power transmission > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-16-4452-7
Barcode:	9789811644528

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