Launch vehicle discrete-time optimal tracking control using global dual heuristic programming

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18 Downloads (Pure)

Abstract

Optimal tracking is a widely researched control problem, but the unavailability of sufficient information referring to system dynamics brings challenges. In this paper, an optimal tracking control method is proposed for an unknown launch vehicle based on the global dual heuristic programming technique. The nonlinear system dynamics is identified by an offline trained neural network and a feedforward neuro-controller is developed to obtain the desired system input and to facilitate the execution of the feedback controller. By transforming the tracking control problem into a regulation problem, an iterative adaptive dynamic programming algorithm, subject to global dual heuristic programming with explicit analytical calculations, is utilized to deal with the newly built regulation problem. The simulation results demonstrate that the developed method can learn an effective control law for the given optimal tracking control tasks.

Original languageEnglish
Title of host publicationCCTA 2020 - 4th IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages162-167
Number of pages6
ISBN (Electronic)9781728171401
DOIs
Publication statusPublished - 2020
Event4th IEEE Conference on Control Technology and Applications, CCTA 2020 - Virtual, Montreal, Canada
Duration: 24 Aug 202026 Aug 2020

Publication series

NameCCTA 2020 - 4th IEEE Conference on Control Technology and Applications

Conference

Conference4th IEEE Conference on Control Technology and Applications, CCTA 2020
CountryCanada
CityVirtual, Montreal
Period24/08/2026/08/20

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