Adaptive Fixed‐Time Prescribed Performance Synchronization Control for Multi‐Motor Driving Systems
ABSTRACT In this article, the fixed‐time synchronization control problem is developed for multi‐motor driving systems. Initially, the issue of multi‐motor tracking and synchronization is converted into a stability issue through the introduction of coupling synchronization errors. Subsequently, based on the prescribed performance control (PPC) scheme, an adaptive fixed‐time PPC is proposed to ensure that the synchronization error and tracking error converge to the prescribed boundary. Additionally, the radial basis function (RBF) neural networks are employed for estimating uncertain nonlinearities. Finally, the simulation results showcase the effectiveness of the proposed method.
Authors
- Liang Shan (ORCID: https://orcid.org/0000-0002-1565-9399)
- Xin Huang (ORCID: https://orcid.org/0000-0003-0778-7611)
- Cheng‐Lin Liu (ORCID: https://orcid.org/0000-0001-9032-2991)
Institutions
- Jiangnan University (CN)
- Nanjing University of Science and Technology (CN)
Publication Details
- Journal
- International Journal of Adaptive Control and Signal Processing
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1002/acs.3946
- Citations
- 1
- Primary Topic
- Iterative Learning Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.33
Funders
- National Natural Science Foundation of China