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CEAS EuroGNC 2022 |
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Mid-course Guidance for Dual-pulse Rocket Air-to-Air Missiles using Pseudospectral Sequential Convex Programming |
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Abstract: This paper proposes a mid-course guidance algorithm for dual-pulse rocket air-to-air missiles based on the trajectory optimization framework. Pseudospectral Sequential Convex Programming (PSCP) is utilized to solve the trajectory optimization problem for dual-pulse rocket missiles with control inputs of the angle-of-attack and ignition time of the second pulse. Multi-phase pseudospectral discretization enables us to treat the ignition time control problem by introducing an optimization parameter corresponding to the time interval between two pulses. Convex sub-problems are composed to solve the non-convex discretized trajectory optimization problem by linearizing the nonlinear dynamic constraints with a variable trust-region method and a line search method. Numerical simulations show promising results that the proposed algorithm can provide an accurate optimal solution within a few seconds in MATLAB. | ||||||
Keywords: Mid-course Guidance; Dual-pulse Rocket Missiles; Trajectory Optimization; Pseudospectral Sequential Convex Programming (PSCP) | ||||||
View PDF CEAS-GNC-2022-040 |
Boseok Kim, Chang-Hun Lee, Min-Jea Tahk: Mid-course Guidance for Dual-pulse Rocket Air-to-Air Missiles using Pseudospectral Sequential Convex Programming. Proceedings of the 2022 CEAS EuroGNC conference. Berlin, Germany. May 2022. CEAS-GNC-2022-040. |
BibTeX entry: @Incollection{CEAS-GNC-2022-040, authors = {Kim, Boseok and Lee, Chang-Hun and Tahk, Min-Jea}, title = {Mid-course Guidance for Dual-pulse Rocket Air-to-Air Missiles using Pseudospectral Sequential Convex Programming}, booktitle = {Proceedings of the 2022 {CEAS EuroGNC} conference}, address = {Berlin, Germany}, month = may, year = {2022}, note = {CEAS-GNC-2022-040} } |