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<p>In this study, a 2-DOF control structure based on Smith Predictor is proposed to achieve servo and regulatory responses for stable, unstable and integrating time-delayed processes. Here, the inner-loop controller is employed to ensure stability and robustness of the inner loop, whereas the outer-loop controller is employed to achieve desired closed-loop performance. The explicit tuning formulas for controllers are derived using Phase Margin and Maximum Sensitivity <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="40435_2024_1574_Article_IEq1.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="36" /> </InlineMediaObject> <EquationSource Format="TEX">\((M_s)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <msub> <mi>M</mi> <mi>s</mi> </msub> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> criteria. To validate the efficacy and robustness of the proposed control technique, various benchmark industrial process models are considered for comprehensive simulations. A quantitative performance analysis is carried out, using settling time and peak overshoot, as well as performance metrics including integral square error, integral time absolute error, and integral absolute error. Furthermore, experimental validation is performed on a two-tank-level-loop system to demonstrate the real-time applicability of the proposed technique.</p>

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2-DOF fractional-order control for delay-dominant industrial processes with experimental validation

  • 期刊论文

  • 发表日期：

    2025年1月18日

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  • Prabir Singha,
  • Rammurti Meena,
  • Sudipta Chakraborty

摘要

In this study, a 2-DOF control structure based on Smith Predictor is proposed to achieve servo and regulatory responses for stable, unstable and integrating time-delayed processes. Here, the inner-loop controller is employed to ensure stability and robustness of the inner loop, whereas the outer-loop controller is employed to achieve desired closed-loop performance. The explicit tuning formulas for controllers are derived using Phase Margin and Maximum Sensitivity \((M_s)\) ( M s ) criteria. To validate the efficacy and robustness of the proposed control technique, various benchmark industrial process models are considered for comprehensive simulations. A quantitative performance analysis is carried out, using settling time and peak overshoot, as well as performance metrics including integral square error, integral time absolute error, and integral absolute error. Furthermore, experimental validation is performed on a two-tank-level-loop system to demonstrate the real-time applicability of the proposed technique.