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Motion control for advanced mechatronics
Abstract
Motion control is now recognized as a key technology in mechatronics. The robustness of motion control will be represented as a function of stiffness and a basis for practical realization. Target of motion is parameterized by control stiffness which could be variable according to the task reference. However, the system robustness of motion always requires very high stiffness in the controller. The paper shows that control of acceleration realizes specified motion simultaneously with keeping the robustness very high. The acceleration is a bridge to connect such robustness and variable stiffness. For practical applications, a technique to estimate disturbance is introduced to make motion controller to be an acceleration controller. Motion control of flexible structure and identification of mechanical parameters are also described.
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Citations
Cited by
Adaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer
Chen, M., Shao, S.-Y., & Jiang, B. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2667680 · Cited by 292
Yang, C., Song, B., Xie, Y., Zheng, S., & Tang, X. (2023) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2023.3239609 · Cited by 37
Yang, C., Song, B., Xie, Y., Lu, S., & Tang, X. (2022) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2021.3111122 · Cited by 29
Metadata
- Authors
- Ohnishi, K., Shibata, M., & Murakami, T.
- Venue
- IEEE/ASME Transactions on Mechatronics
- Published
- 1996-03
- Volume
- 1
- Issue
- 1
- Pages
- 56-67
- ISSN
- 1083-4435 (ISSN-L)
- OpenAlex
- W2096323098
- Cited by
- 1,878
- References
- 0
- FWCI
- 15.03
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Motion control for advanced mechatronics. https://app.cochat.ai/papers/10.1109/3516.491410
- The paper
- Ohnishi, K., Shibata, M., & Murakami, T. (1996). Motion control for advanced mechatronics. IEEE/ASME Transactions on Mechatronics. https://doi.org/10.1109/3516.491410
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
