Abstract
This paper proposes an adaptive fuzzy controller optimized with Jaya optimization algorithm appropriate for a class of robust control applied in control uncertain nonlinear plants including ball and plate system. First, an adaptive fuzzy-based sliding surface is innovatively designed to ensure that the closed-loop system is asymptotically stable based on Lyapunov stability concept. Second, the coefficients of fuzzy structure will be estimated via Jaya optimization technique. The proposed algorithm is applied to regulate the ball position in the ball and plate plant. The comparative results with optimal PID and standard fuzzy control approaches are fully shown as to demonstrate that the proposed controller provides an efficient and robust technique in order to precisely control the nonlinear and uncertain plants.
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Acknowledgements
We acknowledge the support of time and facilities from Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for this study.
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Kien, C.V., Son, N.N., Anh, H.P.H. (2022). Adaptive Fuzzy Sliding Mode Controller for Ball and Plate System Optimizing by Advanced Jaya Algorithm. In: Long, B.T., Kim, H.S., Ishizaki, K., Toan, N.D., Parinov, I.A., Kim, YH. (eds) Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021). AMAS 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-99666-6_114
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DOI: https://doi.org/10.1007/978-3-030-99666-6_114
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