Unified multiobjective optimization scheme for aeroassisted vehicle trajectory planning

Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai, Yuanqing Xia

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

In this work, a multiobjective aeroassisted trajectory optimization problem with mission priority constraints is constructed and studied. To effectively embed the priority requirements into the optimization model, a specific transformation technique is applied and the original problem is then transcribed to a single-objective formulation. The resulting single-objective programming model is solved via an evolutionary optimization algorithm. Such a design is unlike most traditional approaches where the nondominated sorting procedure is required to be performed to rank all the objectives. Moreover, in order to enhance the local search ability of the optimization process, a hybrid gradient-based operator is introduced. Simulation results indicate that the proposed design can produce feasible and high-quality flight trajectories. Comparative simulations with other typical methods are also performed, and the results show that the proposed approach can achieve a better performance in terms of satisfying the prespecified priority requirements.

Original languageEnglish
Pages (from-to)1521-1530
Number of pages10
JournalJournal of Guidance, Control, and Dynamics
Volume41
Issue number7
DOIs
Publication statusPublished - Jul 2018

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