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Article

Design and Experimental Validation of an Adaptive Robust Control Algorithm for a PAM-Driven Biomimetic Leg Joint System

1
College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
2
School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China
3
Department of Clinical Medical Engineering, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou 310058, China
4
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA
*
Author to whom correspondence should be addressed.
Machines 2026, 14(1), 84; https://doi.org/10.3390/machines14010084 (registering DOI)
Submission received: 10 December 2025 / Revised: 2 January 2026 / Accepted: 6 January 2026 / Published: 9 January 2026

Abstract

Biomimetic quadruped robots, inspired by the musculoskeletal systems of animals, employ pneumatic artificial muscles (PAMs) as compliant actuators to achieve flexible, efficient, and adaptive locomotion. This study focuses on a pneumatic artificial muscle (PAM)-driven biomimetic leg joints system. First, its kinematic and dynamic models are established. Next, to address the challenges posed by the strong nonlinearities and complex time-varying uncertainties inherent in PAMs, an adaptive robust control algorithm is proposed by employing the Udwadia controller. Rigorous theoretical analysis of the adaptive robust control algorithm is verified via the Lyapunov stability method. Finally, numerical simulations and hardware experiments are conducted on the PAM-driven biomimetic leg joints system under desired trajectories, where the adaptive robust control algorithm is systematically compared with three conventional control algorithm to evaluate its control performance. The experimental results show that the proposed controller achieves a maximum tracking error of within 0.05 rad for the hip joint and within 0.1 rad, highlighting its strong potential for practical deployment in real-world environments.
Keywords: biomimetic robots; adaptive control algorithm; uncertainties; Udwadia controller biomimetic robots; adaptive control algorithm; uncertainties; Udwadia controller

Share and Cite

MDPI and ACS Style

Qin, F.; Liu, Z.; Xian, Y.; Wang, B.; Zhang, Q.; Chen, Y.-H. Design and Experimental Validation of an Adaptive Robust Control Algorithm for a PAM-Driven Biomimetic Leg Joint System. Machines 2026, 14, 84. https://doi.org/10.3390/machines14010084

AMA Style

Qin F, Liu Z, Xian Y, Wang B, Zhang Q, Chen Y-H. Design and Experimental Validation of an Adaptive Robust Control Algorithm for a PAM-Driven Biomimetic Leg Joint System. Machines. 2026; 14(1):84. https://doi.org/10.3390/machines14010084

Chicago/Turabian Style

Qin, Feifei, Zexuan Liu, Yuanjie Xian, Binrui Wang, Qiaoye Zhang, and Ye-Hwa Chen. 2026. "Design and Experimental Validation of an Adaptive Robust Control Algorithm for a PAM-Driven Biomimetic Leg Joint System" Machines 14, no. 1: 84. https://doi.org/10.3390/machines14010084

APA Style

Qin, F., Liu, Z., Xian, Y., Wang, B., Zhang, Q., & Chen, Y.-H. (2026). Design and Experimental Validation of an Adaptive Robust Control Algorithm for a PAM-Driven Biomimetic Leg Joint System. Machines, 14(1), 84. https://doi.org/10.3390/machines14010084

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