Active-set pseudospectral model predictive static programming for midcourse guidance
This paper focuses on the midcourse guidance law for the interceptor to engage the hypersonic gliding vehicles (HGVs). Firstly, an active-set pseudospectral model predictive static programming (APS-MPSP) algorithm is presented, which entails two major improvements: the application of pseudospectral...
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| Vydané v: | Aerospace science and technology Ročník 134; s. 108137 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Masson SAS
01.03.2023
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| ISSN: | 1270-9638, 1626-3219 |
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| Abstract | This paper focuses on the midcourse guidance law for the interceptor to engage the hypersonic gliding vehicles (HGVs). Firstly, an active-set pseudospectral model predictive static programming (APS-MPSP) algorithm is presented, which entails two major improvements: the application of pseudospectral discretion and handling of control constraint using active-set iteration strategy. Except inheriting the high efficiency of the MPSP, this new algorithm can address the control constraint directly. Secondly, the optimal predictive guidance design is established, which embeds the target prediction into the guidance framework by formulating a simultaneous nonlinear optimal problem. Employing the APS-MPSP algorithm to solve this optimal problem efficiently, the predictive guidance command that ensures interceptor reach an appropriate predicted interception point (PIP) can be obtained directly. This strategy has the merits of no need to precompute the PIP or time-to-go and high prediction accuracy. The reliability and efficiency of the proposed methods are verified by numerical examples and comparisons with already methods. |
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| AbstractList | This paper focuses on the midcourse guidance law for the interceptor to engage the hypersonic gliding vehicles (HGVs). Firstly, an active-set pseudospectral model predictive static programming (APS-MPSP) algorithm is presented, which entails two major improvements: the application of pseudospectral discretion and handling of control constraint using active-set iteration strategy. Except inheriting the high efficiency of the MPSP, this new algorithm can address the control constraint directly. Secondly, the optimal predictive guidance design is established, which embeds the target prediction into the guidance framework by formulating a simultaneous nonlinear optimal problem. Employing the APS-MPSP algorithm to solve this optimal problem efficiently, the predictive guidance command that ensures interceptor reach an appropriate predicted interception point (PIP) can be obtained directly. This strategy has the merits of no need to precompute the PIP or time-to-go and high prediction accuracy. The reliability and efficiency of the proposed methods are verified by numerical examples and comparisons with already methods. |
| ArticleNumber | 108137 |
| Author | Meng, Fanqin He, Lei Li, Chaoyong Yan, Xiaodong Zhou, Cong |
| Author_xml | – sequence: 1 givenname: Cong orcidid: 0000-0003-1667-212X surname: Zhou fullname: Zhou, Cong email: zhoucongnwpu@163.com organization: School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China – sequence: 2 givenname: Lei orcidid: 0000-0001-7056-5902 surname: He fullname: He, Lei email: helei0728@mail.nwpu.edu.cn organization: Beijing Institute of Astronautical Systems Engineering, Beijing, 100076, China – sequence: 3 givenname: Xiaodong orcidid: 0000-0002-2282-6001 surname: Yan fullname: Yan, Xiaodong email: yan804@nwpu.edu.cn organization: School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China – sequence: 4 givenname: Fanqin orcidid: 0000-0002-8388-7588 surname: Meng fullname: Meng, Fanqin email: mfqgnn@hotmail.com organization: School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China – sequence: 5 givenname: Chaoyong surname: Li fullname: Li, Chaoyong email: Chaoyong@zju.edu.cn organization: College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China |
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| Cites_doi | 10.2514/1.58099 10.2514/1.14956 10.2514/1.G004513 10.2514/1.60356 10.1016/j.ifacol.2016.03.119 10.1109/TAES.2020.2976084 10.2514/1.G005250 10.1016/j.ast.2020.106134 10.1016/j.ast.2015.03.016 10.1016/j.ast.2021.106529 10.1109/TAES.2016.140861 10.1109/TAES.2018.2890375 10.1016/j.ast.2022.107552 10.1007/s10107-002-0349-3 10.1017/S0962492904000248 10.2514/1.50821 10.1016/j.ast.2021.106817 10.1016/j.ast.2021.107037 10.1016/j.ast.2016.12.022 10.1109/TAES.2016.150741 10.2514/1.G003359 10.2514/3.25376 10.1109/TAES.2017.2669598 10.2514/1.G003424 10.1016/j.cja.2021.05.021 10.2514/1.60075 10.1016/j.ast.2020.105841 10.2514/1.G000038 10.1016/j.ast.2018.03.038 |
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| Keywords | Pseudospectral discretization Model Predictive Static Programming (MPSP) Midcourse guidance Trajectory optimization Active-set |
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| Snippet | This paper focuses on the midcourse guidance law for the interceptor to engage the hypersonic gliding vehicles (HGVs). Firstly, an active-set pseudospectral... |
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| SubjectTerms | Active-set Midcourse guidance Model Predictive Static Programming (MPSP) Pseudospectral discretization Trajectory optimization |
| Title | Active-set pseudospectral model predictive static programming for midcourse guidance |
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