Mission Modeling for the Perseverance Rover Based on KARMA Language

Zhiqing Liu, Guoxin Wang, Junda Ma*, Jinzhi Lu, Mengru Dong

*Corresponding author for this work

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

Abstract

Over the last two decades, Model-Based System Engineering (MBSE) has been progressively introduced into the design of complex systems as an essential method, aiming to address the complexity management challenges in traditional document-based approaches. However, limited by a lack of diversity in project and constraints on knowledge, the application of MBSE faces several issues. These include insufficient hierarchical decomposition of missions, overly abstract meta-models, and inadequate adaptability of methods. When MBSE is applied to the rover, the complexity of the Mars environment and the multidisciplinary nature of the Mars rover’s design increase the learning curve for researchers due to the high-level abstraction of the meta-model. This paper proposes a new multi-architecture modeling method based on KARMA language, particularly focusing on the mission and operation stages. Including how to start from client objectives to precisely decompose stakeholder needs and successfully build a conceptual model library, the method supports more accurate and adaptable missions analysis in complex systems. Finally, we use the Perseverance rover design as an example to validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationKnowledge and Systems Sciences - 23rd International Symposium, KSS 2024, Proceedings
EditorsXijin Tang, Van Nam Huynh, Haoxiang Xia, Quan Bai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages198-212
Number of pages15
ISBN (Print)9789819601776
DOIs
Publication statusPublished - 2025
Event23rd International Symposium on Knowledge and Systems Sciences, KSS 2024 - Hobart, Australia
Duration: 16 Nov 202417 Nov 2024

Publication series

NameCommunications in Computer and Information Science
Volume2269 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference23rd International Symposium on Knowledge and Systems Sciences, KSS 2024
Country/TerritoryAustralia
CityHobart
Period16/11/2417/11/24

Keywords

  • KARMA Language
  • Mars rover
  • MBSE
  • Meta model
  • Mission modeling

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