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Adaptive fuzzy backstepping control for a two continuous stirred tank reactors process based on dynamic surface control approach

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  • Xin, Li-Ping
  • Yu, Bo
  • Zhao, Lin
  • Yu, Jinpeng

Abstract

This work demonstrates an adaptive fuzzy backstepping control for a two cascaded continuous stirred tank reactors (CSTRs) system based on the dynamic surface control (DSC). The proposed controller is able to ensure the internal stabilization of the closed-loop system and render outputs track their reference signals asymptotically, although the CSTRs system is highly nonlinear and strong coupling. The effective and robust performance of the proposed controller in this research is certificated by the simulation analysis. Compared with previous researches, the on-line computation of controller is effectively reduced, which means that the proposed controller is easy to implement in engineering. The adaptive fuzzy dynamic surface control appears the potential for CSTRs process in mill operation.

Suggested Citation

  • Xin, Li-Ping & Yu, Bo & Zhao, Lin & Yu, Jinpeng, 2020. "Adaptive fuzzy backstepping control for a two continuous stirred tank reactors process based on dynamic surface control approach," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    • Handle: RePEc:eee:apmaco:v:377:y:2020:i:c:s0096300320301077
    DOI: 10.1016/j.amc.2020.125138
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    References listed on IDEAS

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    1. Li, Junmin & Yue, Hongyun, 2015. "Adaptive fuzzy tracking control for stochastic nonlinear systems with unknown time-varying delays," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 514-528.
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    4. Wu, Li-Bing & Wang, Heng & He, Xi-Qin & Zhang, Da-Qing, 2018. "Decentralized adaptive fuzzy tracking control for a class of uncertain large-scale systems with actuator nonlinearities," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 390-405.
    5. Wang, Xuelian & Xia, Jianwei & Wang, Jing & Wang, Jian & Wang, Zhen, 2019. "Passive state estimation for fuzzy jumping neural networks with fading channels based on the hidden Markov model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
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    Cited by:

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    4. Yoo, Sung Jin, 2021. "Decentralized event-triggered adaptive control of a class of uncertain interconnected nonlinear systems using local state feedback corrupted by unknown injection data," Applied Mathematics and Computation, Elsevier, vol. 399(C).

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