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<p>In this study, a robust control strategy for greenhouse climate regulation is presented using an integral sliding mode controller (ISMC) tuned via fuzzy logic. To validate the effectiveness of our approach, a greenhouse model was used under varying conditions, with key system parameters altered by up to 30% to simulate real-world disturbances and uncertainties. The fuzzy logic-based tuning mechanism dynamically adjusted ISMC parameters, thereby enhancing its adaptability and robustness. The results demonstrate that the proposed controller successfully maintains stable performance with a 1-min rise time, 2-min settling time, and 20% overshoot, despite 30% parameter variations, effectively overcoming disturbances. Our work highlights the fuzzy-tuned ISMC’s ability to handle system uncertainties, providing a reliable solution for robust greenhouse climate control.</p>

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Design of Fuzzy-Tuned Integral Sliding Mode Control (ISMC) for Greenhouse Climate Regulation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月9日

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  • Qusay F. Al-Doori,
  • Yaser Nabeel Ibrahem,
  • Omar Younis K Alani

摘要

In this study, a robust control strategy for greenhouse climate regulation is presented using an integral sliding mode controller (ISMC) tuned via fuzzy logic. To validate the effectiveness of our approach, a greenhouse model was used under varying conditions, with key system parameters altered by up to 30% to simulate real-world disturbances and uncertainties. The fuzzy logic-based tuning mechanism dynamically adjusted ISMC parameters, thereby enhancing its adaptability and robustness. The results demonstrate that the proposed controller successfully maintains stable performance with a 1-min rise time, 2-min settling time, and 20% overshoot, despite 30% parameter variations, effectively overcoming disturbances. Our work highlights the fuzzy-tuned ISMC’s ability to handle system uncertainties, providing a reliable solution for robust greenhouse climate control.