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Effect of driving functions with different jerk and accelerating time length on dynamic performance for mechanical systems: analysis and optimization

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Abstract

We studied the methods that are used for analyzing and optimizing the dynamic performance of mechanical systems in the startup stage under different driving functions. Especially, we considered the effects of joint clearance and component flexibility. The dynamic model of mechanical system is the basis of our methods. A higher order polynomial was used for describing the driving form of mechanical system, and the initial jerk and accelerating time length were employed to determine the specific driving function. Besides, we presented three performance evaluation parameters for mechanical system and introduced surrogate models to improve performance evaluation efficiency. Then, the optimal driving function was determined by using the surrogate models and a multi-objective optimization algorithm. Finally, a planar slider-crank mechanism with a clearance joint was taken as an example to demonstrate our methods.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 11872033) and the Natural Science Foundation of Beijing Municipality (Grant No. 3172017).

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Authors and Affiliations

  1. State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China

    Hongyu Wu, Yuling Zhang & Shaoze Yan

Authors
  1. Hongyu Wu
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  2. Yuling Zhang
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  3. Shaoze Yan
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Corresponding author

Correspondence to Shaoze Yan.

Additional information

Hongyu Wu is a doctoral candidate in Mechanical Engineering, Tsinghua University, Beijing, China. He received his M.S. in Mechanical Engineering from Beihang University. His research interests include multibody dynamics, underwater glider technology, multidisciplinary optimization design, and landing buffer technology.

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Wu, H., Zhang, Y. & Yan, S. Effect of driving functions with different jerk and accelerating time length on dynamic performance for mechanical systems: analysis and optimization. J Mech Sci Technol 36, 2225–2238 (2022). https://doi.org/10.1007/s12206-022-0406-1

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  • DOI: https://doi.org/10.1007/s12206-022-0406-1

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