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Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique

Specificaties
Gebonden, blz. | Engels
Springer Nature Singapore | e druk, 2023
ISBN13: 9789811985089
Rubricering
Juridisch :
Springer Nature Singapore e druk, 2023 9789811985089
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811985089
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Inhoudsopgave

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.

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        Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique