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<p>To optimize both serial and parallel mechanisms, this paper proposes a multi-objective coordination optimization framework for hybrid mechanisms based on FIS theory. Initially, a comprehensive design and optimization framework was developed to accommodate diverse spatial motions. Kinematic analysis models for serial and parallel mechanisms were established using differential transformations between finite and instantaneous screws, facilitating the definition of performance metrics across various disciplines. The response surface methodology was employed to refine design parameters and optimization objectives, improving process efficiency. Multi-objective optimization was then carried out using Isight software, with optimal design parameters selected from the Pareto frontier through an objective matching method. This research presents an innovative approach to the integrated analysis and optimization of hybrid mechanisms, providing significant advancements in performance and design efficiency for multidisciplinary applications. </p>

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A coordination optimization framework for hybrid mechanisms based on FIS theory

  • 期刊论文

  • 发表日期：

    2025年5月28日

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  • Yuhuan Wu,
  • Yang Qi,
  • Lu Zhang,
  • Yuanhang Lou

摘要

To optimize both serial and parallel mechanisms, this paper proposes a multi-objective coordination optimization framework for hybrid mechanisms based on FIS theory. Initially, a comprehensive design and optimization framework was developed to accommodate diverse spatial motions. Kinematic analysis models for serial and parallel mechanisms were established using differential transformations between finite and instantaneous screws, facilitating the definition of performance metrics across various disciplines. The response surface methodology was employed to refine design parameters and optimization objectives, improving process efficiency. Multi-objective optimization was then carried out using Isight software, with optimal design parameters selected from the Pareto frontier through an objective matching method. This research presents an innovative approach to the integrated analysis and optimization of hybrid mechanisms, providing significant advancements in performance and design efficiency for multidisciplinary applications.