Research on Stewart platform design evaluation based on data-driven and entropy weight-gray correlation

Yinhai Cao; Zhiyong Zhou; Weijun Liu

doi:10.1117/12.2691870

23 August 2023 Research on Stewart platform design evaluation based on data-driven and entropy weight-gray correlation

Yinhai Cao, Zhiyong Zhou, Weijun Liu

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842K (2023) https://doi.org/10.1117/12.2691870
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

In order to objectively evaluate the Stewart platform design scheme, this paper uses the data analysis method to summarize the design indicators of the Stewart platform, and builds an evaluation index system. Then, the entropy weight method is used to determine the weight of each evaluation index, which ensures the objectivity and reliability of the evaluation results. Finally, the gray relational analysis method is used to evaluate each design scheme, and the evaluation results are obtained and analyzed. The research results of this paper can provide reference and guidance for the design of Stewart platform, and can also provide reference for the evaluation of other multi-index and multi-level decision-making problems.

Citation Download Citation

Yinhai Cao, Zhiyong Zhou, and Weijun Liu "Research on Stewart platform design evaluation based on data-driven and entropy weight-gray correlation", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842K (23 August 2023); https://doi.org/10.1117/12.2691870

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