Aerospace engineering applications for air and space solutions have been becoming increasingly complex. They are required to provide high performance while keeping sustainable safety in place, particularly when human beings are involved in their operations. Multidisciplinary development teams of engineers, system architects, and other stakeholders typically work together to design such sophisticated man-made systems. They use computer models that have different views of the same aerospace system under development. However, technical collaboration between interested parties becomes a deadlock when representations from each collaborator must be cross-checked across multiple models (from other developers) to assess the impact of diverse viewpoints, e.g., how changes in the software design models affect control design models. Later changes in modelling augment risks and costs as they require synchronization of blueprints by updating, and then re-verifying as well as re-validating each of the model representations.

This paper presents details of the design process of a planet rover in which diverse stakeholders deal with aspects of the space ground vehicles. It includes preliminary results from requirements analysis and system design that are used to interlink system models to set an autonomous crosschecked-model design process. The approach is carried out by a multidisciplinary design framework for development of aerospace systems that is meant to reduce collaborative design efforts by enabling multiple developers to minimize potential design inconsistencies (that ultimately produce downtimes) by means of interconnecting their system models. The framework methodology is based on an Artificial Intelligence (AI) support to autonomously link the parametrical notations from different models for modelling analytics, and for further advice on dependencies between models and actions to be taken. Concluding remarks and future research are also presented.