東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Robust Adaptive Nonlinear Control St...

Liu, Dakai.

FindBook

Google Book

Amazon

博客來

Robust Adaptive Nonlinear Control Strategies for Advanced Aerial Vehicles: Theory and Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Robust Adaptive Nonlinear Control Strategies for Advanced Aerial Vehicles: Theory and Applications./
作者:	Liu, Dakai.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	137 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
Contained By:	Dissertations Abstracts International85-04B.
標題:	Engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30524821
ISBN:	9798380581219

Robust Adaptive Nonlinear Control Strategies for Advanced Aerial Vehicles: Theory and Applications.
Liu, Dakai.

Robust Adaptive Nonlinear Control Strategies for Advanced Aerial Vehicles: Theory and Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 137 p.

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

Thesis (Ph.D.)--Stevens Institute of Technology, 2023.

This item must not be sold to any third party vendors.

The ongoing evolution of the aerospace industry has seen a significant rise in the development of advanced aerial vehicles, such as reusable launch vehicles (RLVs) and hypersonic flight vehicles (HFVs). Despite the potential benefits of these vehicles, their design presents substantial challenges, including complicated aerodynamics, strong nonlinearities, large flight envelopes, and demanding flight environments. This dissertation aims to enhance robust adaptive control methodologies to render them more suitable for practical implementation in advanced aerial vehicles.The research comprises the development of two advanced adaptive higher-order sliding mode control (SMC) methodologies for reentry RLV attitude control and an adaptive robust backstepping control strategy for HFV control. The methodologies address various challenges, including modeling uncertainties, disturbances, actuator faults, control input saturation, and state constraints.First, a novel adaptive second-order nonsingular fast terminal sliding mode fault-tolerant control scheme is proposed for RLVs during reentry. This control law eliminates initial phase oscillations, does not require prior knowledge of disturbance upper bounds, and offers increased robustness compared to existing methods. Furthermore, it addresses modeling uncertainties, disturbances, and actuator faults, which are significant concerns in RLV control.Then, a two-loop control scheme for RLV attitude control is introduced as an alternative to the terminal SMC-based approach. The proposed outer-loop and inner-loop controllers are extended to be multivariable and input-constrained methods, further enhancing their suitability for real-world applications above and beyond the method in Chapter 1. This control scheme adeptly addresses prevalent challenges in RLV attitude control systems, including input constraints, state-dependent disturbances, and multivariable control.A comprehensive state-constrained control strategy for HFVs is formulated, which, for the first time, simultaneously addresses multiple challenges, including actuator faults, control input saturation, aerodynamic uncertainties, and both nominal and stochastic external disturbances. An adaptive backstepping control strategy is adopted, and neural networks are implemented to guarantee its sufficient robustness. This control strategy ensures proper operation of the vehicle by restricting specific states to predefined ranges, making it highly practical for real-world HFV control systems.In conclusion, this dissertation contributes to the advancement of robust adaptive control methodologies for advanced aerial vehicles, addressing an extensive array of challenges and demonstrating their potential suitability in real-world contexts. Comparative simulation tests are also included to validate these findings.

ISBN: 9798380581219Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Advanced aerial vehicles

Robust Adaptive Nonlinear Control Strategies for Advanced Aerial Vehicles: Theory and Applications.
LDR:04139nmm a2200409 4500 001 2397219
005 20240617111349.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380581219
035 $a (MiAaPQ)AAI30524821
035 $a AAI30524821
040 $a MiAaPQ $c MiAaPQ
100 1 $a Liu, Dakai. $3 3766982
245 1 0 $a Robust Adaptive Nonlinear Control Strategies for Advanced Aerial Vehicles: Theory and Applications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 137 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
500 $a Advisor: Esche, Sven.
502 $a Thesis (Ph.D.)--Stevens Institute of Technology, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The ongoing evolution of the aerospace industry has seen a significant rise in the development of advanced aerial vehicles, such as reusable launch vehicles (RLVs) and hypersonic flight vehicles (HFVs). Despite the potential benefits of these vehicles, their design presents substantial challenges, including complicated aerodynamics, strong nonlinearities, large flight envelopes, and demanding flight environments. This dissertation aims to enhance robust adaptive control methodologies to render them more suitable for practical implementation in advanced aerial vehicles.The research comprises the development of two advanced adaptive higher-order sliding mode control (SMC) methodologies for reentry RLV attitude control and an adaptive robust backstepping control strategy for HFV control. The methodologies address various challenges, including modeling uncertainties, disturbances, actuator faults, control input saturation, and state constraints.First, a novel adaptive second-order nonsingular fast terminal sliding mode fault-tolerant control scheme is proposed for RLVs during reentry. This control law eliminates initial phase oscillations, does not require prior knowledge of disturbance upper bounds, and offers increased robustness compared to existing methods. Furthermore, it addresses modeling uncertainties, disturbances, and actuator faults, which are significant concerns in RLV control.Then, a two-loop control scheme for RLV attitude control is introduced as an alternative to the terminal SMC-based approach. The proposed outer-loop and inner-loop controllers are extended to be multivariable and input-constrained methods, further enhancing their suitability for real-world applications above and beyond the method in Chapter 1. This control scheme adeptly addresses prevalent challenges in RLV attitude control systems, including input constraints, state-dependent disturbances, and multivariable control.A comprehensive state-constrained control strategy for HFVs is formulated, which, for the first time, simultaneously addresses multiple challenges, including actuator faults, control input saturation, aerodynamic uncertainties, and both nominal and stochastic external disturbances. An adaptive backstepping control strategy is adopted, and neural networks are implemented to guarantee its sufficient robustness. This control strategy ensures proper operation of the vehicle by restricting specific states to predefined ranges, making it highly practical for real-world HFV control systems.In conclusion, this dissertation contributes to the advancement of robust adaptive control methodologies for advanced aerial vehicles, addressing an extensive array of challenges and demonstrating their potential suitability in real-world contexts. Comparative simulation tests are also included to validate these findings.
590 $a School code: 0733.
650 4 $a Engineering. $3 586835
650 4 $a Automotive engineering. $3 2181195
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Mechanical engineering. $3 649730
653 $a Advanced aerial vehicles
653 $a Control strategy
653 $a Two-loop control scheme
653 $a Robust adaptive control
653 $a Input constraints
690 $a 0537
690 $a 0540
690 $a 0548
690 $a 0538
710 2 $a Stevens Institute of Technology. $b Mechanical Engineer. $3 3177147
773 0 $t Dissertations Abstracts International $g 85-04B.
790 $a 0733
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30524821