International Journal of Control, Automation and Systems 2022; 20(5): 1695-1705
Published online April 21, 2022
https://doi.org/10.1007/s12555-020-0988-2
© The International Journal of Control, Automation, and Systems
Fabricated by elastomer materials, soft pneumatic network actuators (PNAs) not only enable versatile applications but also bring challenges to the high-performance control. This study presents new observer-based adaptive robust controllers for PNAs subjected to system uncertainties and unavailable states. First, a sliding patchbased observer and an observer-based controller are addressed for PNAs with known upper bounds, and stability of closed-looped systems is proved by the Lyapunov method. Second, a novel disturbance observer is proposed for the case of prior unknown bounds of uncertainties, and the stability of the closed-looped system controlled by an adaptive robust controller is also analyzed by the Lyapunov method. Finally, the effectiveness of the proposed controllers is verified by simulations and experiments.
Keywords Adaptive robust control, disturbance observer, sliding mode control, soft pneumatic network actuator, velocity estimation.
International Journal of Control, Automation and Systems 2022; 20(5): 1695-1705
Published online May 1, 2022 https://doi.org/10.1007/s12555-020-0988-2
Copyright © The International Journal of Control, Automation, and Systems.
Guizhou Cao, Yanhong Liu, and Zhiwei Zhu*
Zhengzhou University
Fabricated by elastomer materials, soft pneumatic network actuators (PNAs) not only enable versatile applications but also bring challenges to the high-performance control. This study presents new observer-based adaptive robust controllers for PNAs subjected to system uncertainties and unavailable states. First, a sliding patchbased observer and an observer-based controller are addressed for PNAs with known upper bounds, and stability of closed-looped systems is proved by the Lyapunov method. Second, a novel disturbance observer is proposed for the case of prior unknown bounds of uncertainties, and the stability of the closed-looped system controlled by an adaptive robust controller is also analyzed by the Lyapunov method. Finally, the effectiveness of the proposed controllers is verified by simulations and experiments.
Keywords: Adaptive robust control, disturbance observer, sliding mode control, soft pneumatic network actuator, velocity estimation.
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