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Command Filter Approximation-Based Finite-Time Fuzzy Control for Induction Motor with Full State Constraints

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Abstract

In this article, a command filter approximation-based finite-time fuzzy control scheme is proposed for the position tracking control of induction motor (IM) with full state constraints. Firstly, command filters and fuzzy logic systems are used to reconstruct the approximate value of unknown nonlinearities in IM drive systems, and convex optimization technology is applied to construct the update law of the weights of the fuzzy logic systems. Secondly, the barrier Lyapunov functions are introduced to ensure that the state of the motor is always in the given constraint space. Then, the finite-time control technology is utilized to accelerate the response speed of the system and realize the effective and fast tracking of the desired signal. Finally, the validity of the scheme proposed is verified by simulation.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 61973179, in part by the Taishan Scholar Special Project Found under Grant TSQN20161026 and Qingdao key research and development special project (21-1-2-6-nsh).

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Authors and Affiliations

  1. College of Automation, Qingdao University, Qingdao, 266071, People’s Republic of China

    Chen Song, Jinpeng Yu, Jiapeng Liu, Lin Zhao & Yumei Ma

Authors
  1. Chen Song
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  2. Jinpeng Yu
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  3. Jiapeng Liu
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  4. Lin Zhao
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  5. Yumei Ma
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Correspondence to Jinpeng Yu.

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Song, C., Yu, J., Liu, J. et al. Command Filter Approximation-Based Finite-Time Fuzzy Control for Induction Motor with Full State Constraints. Int. J. Fuzzy Syst. 24, 3456–3468 (2022). https://doi.org/10.1007/s40815-022-01314-y

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  • DOI: https://doi.org/10.1007/s40815-022-01314-y

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