Jolan Wauters, Tom Lefebvre, Joris Degroote, Ivo Couckuyt, Guillaume Crevecoeur
{"title":"Introducing DAIMYO: a first-time-right dynamic design architecture and its application to tail-sitter UAS development","authors":"Jolan Wauters, Tom Lefebvre, Joris Degroote, Ivo Couckuyt, Guillaume Crevecoeur","doi":"arxiv-2409.09820","DOIUrl":null,"url":null,"abstract":"In recent years, there has been a notable evolution in various\nmultidisciplinary design methodologies for dynamic systems. Among these\napproaches, a noteworthy concept is that of concurrent conceptual and control\ndesign or co-design. This approach involves the tuning of feedforward and/or\nfeedback control strategies in conjunction with the conceptual design of the\ndynamic system. The primary aim is to discover integrated solutions that\nsurpass those attainable through a disjointed or decoupled approach. This\nconcurrent design paradigm exhibits particular promise in the context of hybrid\nunmanned aerial systems (UASs), such as tail-sitters, where the objectives of\nversatility (driven by control considerations) and efficiency (influenced by\nconceptual design) often present conflicting demands. Nevertheless, a\npersistent challenge lies in the potential disparity between the theoretical\nmodels that underpin the design process and the real-world operational\nenvironment, the so-called reality gap. Such disparities can lead to suboptimal\nperformance when the designed system is deployed in reality. To address this\nissue, this paper introduces DAIMYO, a novel design architecture that\nincorporates a high-fidelity environment, which emulates real-world conditions,\ninto the procedure in pursuit of a `first-time-right' design. The outcome of\nthis innovative approach is a design procedure that yields versatile and\nefficient UAS designs capable of withstanding the challenges posed by the\nreality gap.","PeriodicalId":501286,"journal":{"name":"arXiv - MATH - Optimization and Control","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Optimization and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, there has been a notable evolution in various
multidisciplinary design methodologies for dynamic systems. Among these
approaches, a noteworthy concept is that of concurrent conceptual and control
design or co-design. This approach involves the tuning of feedforward and/or
feedback control strategies in conjunction with the conceptual design of the
dynamic system. The primary aim is to discover integrated solutions that
surpass those attainable through a disjointed or decoupled approach. This
concurrent design paradigm exhibits particular promise in the context of hybrid
unmanned aerial systems (UASs), such as tail-sitters, where the objectives of
versatility (driven by control considerations) and efficiency (influenced by
conceptual design) often present conflicting demands. Nevertheless, a
persistent challenge lies in the potential disparity between the theoretical
models that underpin the design process and the real-world operational
environment, the so-called reality gap. Such disparities can lead to suboptimal
performance when the designed system is deployed in reality. To address this
issue, this paper introduces DAIMYO, a novel design architecture that
incorporates a high-fidelity environment, which emulates real-world conditions,
into the procedure in pursuit of a `first-time-right' design. The outcome of
this innovative approach is a design procedure that yields versatile and
efficient UAS designs capable of withstanding the challenges posed by the
reality gap.