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<p>Nonlinear dynamics and parametric uncertainties impede precision control of single-acting spring-cylinder (SASC) pneumatic systems in industrial automation. This work establishes a dynamics model characterizing the SASC as a strict-feedback nonlinear system with unmeasurable states. To overcome these limitations, we develop a novel displacement tracking algorithm integrating a fuzzy-logic state observer for uncertainty compensation and an adaptive backstepping controller for nonlinearity mitigation. Experimental validation on a dedicated test bench demonstrates 77.1% lower steady-state error and 90.1% suppressed overshoot compared to benchmark methods, while sustaining sub-0.023&#xa0;mm positioning accuracy under flow saturation and hysteresis effects. Comparative analysis confirms superior transient stability over PID and NN algorithms, providing a practically deployable framework for enhancing industrial pneumatic control precision.</p>

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A novel displacement accurate tracking algorithm to improve the effectiveness of SASC pneumatic system in practical applications

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月14日

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  • Jiaxing Lu,
  • Yan Shi,
  • Bao Liu,
  • Yixuan Wang,
  • Zhiguo Yang,
  • Shaofeng Xu,
  • Changhui Wang

摘要

Nonlinear dynamics and parametric uncertainties impede precision control of single-acting spring-cylinder (SASC) pneumatic systems in industrial automation. This work establishes a dynamics model characterizing the SASC as a strict-feedback nonlinear system with unmeasurable states. To overcome these limitations, we develop a novel displacement tracking algorithm integrating a fuzzy-logic state observer for uncertainty compensation and an adaptive backstepping controller for nonlinearity mitigation. Experimental validation on a dedicated test bench demonstrates 77.1% lower steady-state error and 90.1% suppressed overshoot compared to benchmark methods, while sustaining sub-0.023 mm positioning accuracy under flow saturation and hysteresis effects. Comparative analysis confirms superior transient stability over PID and NN algorithms, providing a practically deployable framework for enhancing industrial pneumatic control precision.