This study proposes a framework for designing/optimizing a Lunar rover for an early-phase mission concept trade-off. The proposed framework (1) develops models for major rover subsystems and lunar environment, (2) generates the rover’s operational schedule using the models, and (3) yields a set of attractive design solutions. The framework adopts a Pareto search algorithm to find the Pareto-optimal solutions for the multi-objective optimization problem considering multiple system-level metrics (i.e., cost, exploration range, scientific value). A case study on the design optimization of a realistic Lunar rover demonstrates the effectiveness of the proposed framework.

这项研究提出了一个框架，用于设计/优化月球车以进行早期任务概念权衡。提议的框架 (1) 为主要的漫游车子系统和月球环境开发模型，(2) 使用这些模型生成漫游车的运行时间表，以及 (3) 产生一组有吸引力的设计解决方案。该框架采用帕累托搜索算法，为考虑多个系统级指标（即成本、探索范围、科学价值）的多目标优化问题寻找帕累托最优解。关于现实月球车设计优化的案例研究证明了所提出框架的有效性。