Volume 49 Issue 2
Feb.  2023
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ZHU W S,LYU X J,HOU Z Q,et al. Trajectory optimization of air-to-surface missile in full airspace based on combinational optimization algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(2):344-352 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0252
Citation: ZHU W S,LYU X J,HOU Z Q,et al. Trajectory optimization of air-to-surface missile in full airspace based on combinational optimization algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(2):344-352 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0252

Trajectory optimization of air-to-surface missile in full airspace based on combinational optimization algorithm

doi: 10.13700/j.bh.1001-5965.2021.0252
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  • Corresponding author: E-mail: whzhu@nuaa.edu.cn
  • Received Date: 14 May 2021
  • Accepted Date: 29 Jun 2021
  • Available Online: 02 Jun 2023
  • Publish Date: 06 Jul 2021
  • To deal with the problem of trajectory optimization for the air-to-surface missile in full airspace, a combinational optimization algorithm based on a multi-island genetic algorithm (MIGA) and sequential quadratic programming (SQP) was proposed. The advantages of being insensitive to initial values and global convergence of MIGA, and rapid convergence and high precision of SQP were developed. With the surrogate model, the computational cost of trajectory optimization in full airspace was greatly reduced on the premise of ensuring fitting precision. The surrogate model significantly lowered the computing cost of trajectory optimization in full airspace under the assumption of fitting precision. Results show that the combinational optimization algorithm had a rapid convergence speed and could obtain a global high-precision solution; the surrogate model had high fitting precision and could satisfy the requirements of engineering; the optimization results and surrogate model could provide an effective way for the design of guidance law in full airspace.

     

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