Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight
Near-pace hypersonic flight has great potential in civil and military use due to its high speed and low cost. To optimize the design and improve the robustness, this paper focuses on the integrated guidance and control (IGC) design with nonlinear actuator dynamics in the terminal phase of hypersonic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-09-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/10/2605 |
| _version_ | 1811302299888254976 |
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| author | Liang Wang Ke Peng Weihua Zhang Donghui Wang |
| author_facet | Liang Wang Ke Peng Weihua Zhang Donghui Wang |
| author_sort | Liang Wang |
| collection | DOAJ |
| description | Near-pace hypersonic flight has great potential in civil and military use due to its high speed and low cost. To optimize the design and improve the robustness, this paper focuses on the integrated guidance and control (IGC) design with nonlinear actuator dynamics in the terminal phase of hypersonic flight. Firstly, a nonlinear integrated guidance and control model is developed with saturated control surface deflection, and third-order actuator dynamics is considered. Secondly, a neural network is introduced using an extended state observer (ESO) design to estimate the complex model uncertainty, nonlinearity and disturbance. Thirdly, a command-filtered back-stepping controller is designed with flexible designed sliding surfaces to improve the terminal performance. In this process, hybrid command filters are implemented to avoid the influences of disturbances and repetitive derivation, meanwhile solving the problem of unknown control direction caused by nonlinear saturation. The stability of the closed-loop system is proved by the Lyapunov theory, and the controller parameters can be set according to the relevant remarks. Finally, a series of numerical simulations are presented to show the feasibility and validity of the proposed IGC scheme. |
| first_indexed | 2024-04-13T07:26:53Z |
| format | Article |
| id | doaj.art-56b751cd795746c883f48eab7f704cab |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T07:26:53Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-56b751cd795746c883f48eab7f704cab2022-12-22T02:56:28ZengMDPI AGEnergies1996-10732018-09-011110260510.3390/en11102605en11102605Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic FlightLiang Wang0Ke Peng1Weihua Zhang2Donghui Wang3Aerospace Engineering Department, College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaAerospace Engineering Department, College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaAerospace Engineering Department, College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaAerospace Engineering Department, College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaNear-pace hypersonic flight has great potential in civil and military use due to its high speed and low cost. To optimize the design and improve the robustness, this paper focuses on the integrated guidance and control (IGC) design with nonlinear actuator dynamics in the terminal phase of hypersonic flight. Firstly, a nonlinear integrated guidance and control model is developed with saturated control surface deflection, and third-order actuator dynamics is considered. Secondly, a neural network is introduced using an extended state observer (ESO) design to estimate the complex model uncertainty, nonlinearity and disturbance. Thirdly, a command-filtered back-stepping controller is designed with flexible designed sliding surfaces to improve the terminal performance. In this process, hybrid command filters are implemented to avoid the influences of disturbances and repetitive derivation, meanwhile solving the problem of unknown control direction caused by nonlinear saturation. The stability of the closed-loop system is proved by the Lyapunov theory, and the controller parameters can be set according to the relevant remarks. Finally, a series of numerical simulations are presented to show the feasibility and validity of the proposed IGC scheme.http://www.mdpi.com/1996-1073/11/10/2605integrated guidance and controlneural networkextended state observercommand filterback-stepping control |
| spellingShingle | Liang Wang Ke Peng Weihua Zhang Donghui Wang Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight Energies integrated guidance and control neural network extended state observer command filter back-stepping control |
| title | Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight |
| title_full | Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight |
| title_fullStr | Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight |
| title_full_unstemmed | Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight |
| title_short | Neural Extended State Observer Based Intelligent Integrated Guidance and Control for Hypersonic Flight |
| title_sort | neural extended state observer based intelligent integrated guidance and control for hypersonic flight |
| topic | integrated guidance and control neural network extended state observer command filter back-stepping control |
| url | http://www.mdpi.com/1996-1073/11/10/2605 |
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