A Multi-Objective Optimization Method of a Mobile Robot Milling System Construction for Large Cabins
Source abstract
Abstract
Constructing mobile robot milling systems with multiple mounting surfaces for large cabins still has several unsolved issues, such as huge economic and time costs, unpredictable milling accuracy and milling time. Hence, a multi-objective optimization method for constructing a mobile robot milling system of large cabins is proposed in the current paper. Firstly, mathematical models of constructing the system and the optimization objective function are established. Thereafter, a multi-objective optimization method for the mobile robot milling system construction based on NSGA-II (Fast Non-dominated Sorting Genetic Algorithm) is proposed. Finally, feasibility and validity of the proposed method are verified through comparing the optimization result with two practical mobile robot systems. Results show that the proposed method is able to estimate different combinations’ milling accuracy, cost and time consumption.
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Research context
OpenAlex topics: Advanced Manufacturing and Logistics Optimization · Industrial Automation and Control Systems · Industrial Technology and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing Spacecrafts, China Academy of Space Technology, Beijing 100094, China
School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science & Technology University, Beijing 100192, China
Funding
National Natural Science Foundation of China · National Defense Basic Scientific Research program of China
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