
Energy optimal point-to-point motion profile optimization
- Author
- Nick Van Oosterwyck, Foeke Vanbecelaere (UGent) , Ferre Knaepkens, Michael Monte (UGent) , Kurt Stockman (UGent) , Annie Cuyt and Stijn Derammelaere
- Organization
- Abstract
- Position-controlled systems driving repetitive tasks are of significant importance in industrial machinery. The electric actuators used in these systems are responsible for a large part of the global energy consumption, indicating that major savings can be made in this field. In this context, motion profile optimization is a very cost-effective solution as it allows for more energy-efficient machines without additional hardware investments or adaptions. In particular, mono-actuated mechanisms with position-dependent system properties have received considerable attention in literature. However, the current state-of-the-art methods often use unbounded design parameters to describe the motion profile. This both increases the computational complexity and hampers the search for a global optimum. In this paper, Chebyshev polynomials are used to describe the motion profile. Moreover, the exact bounds on the Chebyshev design parameters are derived. This both seriously reduces the computational complexity and limits the design space, allowing the application of a global optimizer such as the genetic algorithm. Experiments validate the added value of the chosen approach. In this study, it is found that the energy consumption can be reduced by 62.9% compared to a standard reference motion profile.
- Keywords
- Motion profile optimization, point-to-point motion, energy efficiency, validation, CAD model 2020 MSC, 49, CHEBYSHEV TECHNIQUE, INDUSTRIAL ROBOTS, TRAJECTORIES, EFFICIENCY, SYSTEMS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8763081
- MLA
- Van Oosterwyck, Nick, et al. “Energy Optimal Point-to-Point Motion Profile Optimization.” MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, vol. 52, no. 1, 2024, pp. 239–56, doi:10.1080/15397734.2022.2106241.
- APA
- Van Oosterwyck, N., Vanbecelaere, F., Knaepkens, F., Monte, M., Stockman, K., Cuyt, A., & Derammelaere, S. (2024). Energy optimal point-to-point motion profile optimization. MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 52(1), 239–256. https://doi.org/10.1080/15397734.2022.2106241
- Chicago author-date
- Van Oosterwyck, Nick, Foeke Vanbecelaere, Ferre Knaepkens, Michael Monte, Kurt Stockman, Annie Cuyt, and Stijn Derammelaere. 2024. “Energy Optimal Point-to-Point Motion Profile Optimization.” MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES 52 (1): 239–56. https://doi.org/10.1080/15397734.2022.2106241.
- Chicago author-date (all authors)
- Van Oosterwyck, Nick, Foeke Vanbecelaere, Ferre Knaepkens, Michael Monte, Kurt Stockman, Annie Cuyt, and Stijn Derammelaere. 2024. “Energy Optimal Point-to-Point Motion Profile Optimization.” MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES 52 (1): 239–256. doi:10.1080/15397734.2022.2106241.
- Vancouver
- 1.Van Oosterwyck N, Vanbecelaere F, Knaepkens F, Monte M, Stockman K, Cuyt A, et al. Energy optimal point-to-point motion profile optimization. MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES. 2024;52(1):239–56.
- IEEE
- [1]N. Van Oosterwyck et al., “Energy optimal point-to-point motion profile optimization,” MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, vol. 52, no. 1, pp. 239–256, 2024.
@article{8763081, abstract = {{Position-controlled systems driving repetitive tasks are of significant importance in industrial machinery. The electric actuators used in these systems are responsible for a large part of the global energy consumption, indicating that major savings can be made in this field. In this context, motion profile optimization is a very cost-effective solution as it allows for more energy-efficient machines without additional hardware investments or adaptions. In particular, mono-actuated mechanisms with position-dependent system properties have received considerable attention in literature. However, the current state-of-the-art methods often use unbounded design parameters to describe the motion profile. This both increases the computational complexity and hampers the search for a global optimum. In this paper, Chebyshev polynomials are used to describe the motion profile. Moreover, the exact bounds on the Chebyshev design parameters are derived. This both seriously reduces the computational complexity and limits the design space, allowing the application of a global optimizer such as the genetic algorithm. Experiments validate the added value of the chosen approach. In this study, it is found that the energy consumption can be reduced by 62.9% compared to a standard reference motion profile.}}, author = {{Van Oosterwyck, Nick and Vanbecelaere, Foeke and Knaepkens, Ferre and Monte, Michael and Stockman, Kurt and Cuyt, Annie and Derammelaere, Stijn}}, issn = {{1539-7734}}, journal = {{MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES}}, keywords = {{Motion profile optimization,point-to-point motion,energy efficiency,validation,CAD model 2020 MSC,49,CHEBYSHEV TECHNIQUE,INDUSTRIAL ROBOTS,TRAJECTORIES,EFFICIENCY,SYSTEMS}}, language = {{eng}}, number = {{1}}, pages = {{239--256}}, title = {{Energy optimal point-to-point motion profile optimization}}, url = {{http://doi.org/10.1080/15397734.2022.2106241}}, volume = {{52}}, year = {{2024}}, }
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