Review of advanced guidance and control algorithms for space/aerospace vehicles
نویسندگان
چکیده
The design of advanced guidance and control (G&C) systems for space/aerospace vehicles has received a large amount attention worldwide during the last few decades will continue to be main focus aerospace industry. Not surprisingly, due existence various model uncertainties environmental disturbances, robust stochastic control-based methods have played key role in G&C system design, numerous effective algorithms been successfully constructed guide steer motion vehicles. Apart from these stability theory-oriented techniques, recent years, we witnessed growing trend designing optimisation theory-based artificial intelligence (AI)-based controllers meet demand better performance. Related studies shown that newly developed strategies can bring many benefits an application point view, they may considered drive onboard decision-making system. In this paper, provide systematic survey state-of-the-art are capable generating reliable commands paper first provides brief overview vehicle problems. Following that, broad collection academic works concerning is discussed. Some potential issues challenges inherent reviewed Then, given recently ability produce optimal commands, including dynamic programming-based methods, predictive other enhanced versions. aspects applying approaches, such as their advantages challenges, also Subsequently, particular attempts explore possible uses AI techniques connection with systems. highlights discussion illustrate how problems benefit models. Finally, some practical implementation considerations, together number future research topics, summarised.
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ژورنال
عنوان ژورنال: Progress in Aerospace Sciences
سال: 2021
ISSN: ['0376-0421', '1873-1724']
DOI: https://doi.org/10.1016/j.paerosci.2021.100696