Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique [electronic resource] / by Hui Zhang, Rongrong Wang, Junmin Wang.
Tipo de material: TextoSeries Key Technologies on New Energy VehiclesEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXI, 204 p. 87 illus., 69 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811985096Tema(s): Automotive engineering | Mechatronics | Control engineering | Automotive Engineering | Mechatronics | Control and Systems TheoryFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.2 Clasificación LoC:TL1-483Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Chapter 1. Polytopic LPV approaches for intelligent automotive systems_state of the art and future challenges -- Chapter 2. H∞ observer for LPV systems with uncertain measurements on scheduling variable application to an electric ground vehicle -- Chapter 3. Sideslip angle estimation of an electric ground vehicle via finite-frequency H∞ approach -- Chapter 4. Active steering actuator fault detection for an automatically steered electric ground vehicle -- Chapter 5. Robust H∞ output-feedback yaw control for in-wheel motor driven electric vehicles with differential steering -- Chapter 6. Robust H∞ path following control for autonomous ground vehicles with delay an data dropout -- Chapter 7. Robust lateral motion control of four-wheel independently actuated electric vehicles with tire force saturation consideration.
This book presents techniques such as the robust control and nonlinearity approximation using linear-parameter-varying (LPV) techniques. Meanwhile, the control of independently driven electric vehicles and autonomous vehicles is introduced. It covers a comprehensive literature review, robust state estimation with uncertain measurements, sideslip angle estimation with finite-frequency optimization, fault detection of vehicle steering systems, output-feedback control of in-wheel motor-driven electric vehicles, robust path following control with network-induced issues, and lateral motion control with the consideration of actuator saturation. This book is a good reference for researchers and engineers working on control of electric vehicles.
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