Trajectory optimization with multiple constraints for a guided bomb using a pseudospectral method

Y. B. Yuan, K. Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of trajectory optimization for a glide-guided bomb is studied using a Radau pseudospectral method. The objective is to determine an optimal control law for a high lift-to-drag ratio bomb to maximize its range and meet multiple constraints at the same time. The trajectory optimization problem is formulated as an optimal control problem and transcribed to a nonlinear programming via a Radau pseudospectral method; then it is solved using a sparse nonlinear optimization algorithm. Optimization simulation is conducted according to the designed algorithm and a comparison with conventional trajectory is presented. Simulation results show that the Radau pseudospectral method is an effective way to solve the trajectory optimization problem with multiple constraints. The maximum range after optimization can be extended more than 10%.

Original languageEnglish
Title of host publicationManufacturing and Engineering Technology - Proceedings of the 2014 International Conference on Manufacturing and Engineering Technology, ICMET 2014
EditorsYizhong Wang, Ai Sheng
PublisherCRC Press/Balkema
Pages67-72
Number of pages6
ISBN (Print)9781138026452
StatePublished - 2015
EventInternational Conference on Manufacturing and Engineering Technology, ICMET 2014 - Sanya, China
Duration: 17 Oct 201419 Oct 2014

Publication series

NameManufacturing and Engineering Technology - Proceedings of the 2014 International Conference on Manufacturing and Engineering Technology, ICMET 2014

Conference

ConferenceInternational Conference on Manufacturing and Engineering Technology, ICMET 2014
Country/TerritoryChina
CitySanya
Period17/10/1419/10/14

Keywords

  • Multiple constraints
  • Radau pseudospectral method
  • Trajectory optimization

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