Conference paper
Fast nonsingular terminal sliding control for permanent magnet linear motor via extreme learning machine estimator
2019 9th International Conference on Power and Energy Systems (ICPES)
9th International Conference on Power and Energy Systems (ICPES) 2019 (Perth, WA, 10/12/2019–12/12/2019)
2019
Abstract
This paper proposes a novel extreme-learning-machine-based fast nonsingular terminal sliding mode (FNTSM) control strategy for permanent magnet linear motor (PMLM) with partially known dynamics. The proposed control strategy consists of two components: a FNTSM controller, and an estimator based on extreme learning machine (ELM), which is implemented to estimate the equivalent control of the FNTSM control. Compared with conventional sliding mode control implemented, the proposed control strategy not only assures the finite-time error convergence and strong robustness, but also requires no prior knowledge of the system parameters since the ELM is used to estimate the equivalent control in the process of designing controller. Numerical simulation results are given to verify excellent tracking performance of the proposed control strategy and show its advantages over some existing approaches.
Details
- Title
- Fast nonsingular terminal sliding control for permanent magnet linear motor via extreme learning machine estimator
- Authors/Creators
- J. Zhang (Author/Creator)H. Wang (Author/Creator)Z. Cao (Author/Creator)J. Zheng (Author/Creator)Z. Man (Author/Creator)Z. Ping (Author/Creator)
- Publication Details
- 2019 9th International Conference on Power and Energy Systems (ICPES)
- Conference
- 9th International Conference on Power and Energy Systems (ICPES) 2019 (Perth, WA, 10/12/2019–12/12/2019)
- Identifiers
- 991005544857007891
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Conference paper
Metrics
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