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Open AccessArticle

Adaptive Robust Force Position Control for Flexible Active Prosthetic Knee Using Gait Trajectory

1
School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
2
Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China
3
Department of Computer Science and Communications Engineering, Waseda University, Tokyo 169-8050, Japan
4
Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(8), 2755; https://doi.org/10.3390/app10082755
Received: 3 March 2020 / Revised: 10 April 2020 / Accepted: 11 April 2020 / Published: 16 April 2020
Active prosthetic knees (APKs) are widely used in the past decades. However, it is still challenging to make them more natural and controllable because: (1) most existing APKs that use rigid actuators have difficulty obtaining more natural walking; and (2) traditional finite-state impedance control has difficulty adjusting parameters for different motions and users. In this paper, a flexible APK with a compact variable stiffness actuator (VSA) is designed for obtaining more flexible bionic characteristics. The VSA joint is implemented by two motors of different sizes, which connect the knee angle and the joint stiffness. Considering the complexity of prothetic lower limb control due to unknown APK dynamics, as well as strong coupling between biological joints and prosthetic joints, an adaptive robust force/position control method is designed for generating a desired gait trajectory of the prosthesis. It can operate without the explicit model of the system dynamics and multiple tuning parameters of different gaits. The proposed model-free scheme utilizes the time-delay estimation technique, sliding mode control, and fuzzy neural network to realize finite-time convergence and gait trajectory tracking. The virtual prototype of APK was established in ADAMS as a testing platform and compared with two traditional time-delay control schemes. Some demonstrations are illustrated, which show that the proposed method has superior tracking characteristics and stronger robustness under uncertain disturbances within the trajectory error in ± 0 . 5 degrees. The VSA joint can reduce energy consumption by adjusting stiffness appropriately. Furthermore, the feasibility of this method was verified in a human–machine hybrid control model. View Full-Text
Keywords: active prosthetic knee; time delay estimation; sliding mode control; fuzzy neural network active prosthetic knee; time delay estimation; sliding mode control; fuzzy neural network
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MDPI and ACS Style

Peng, F.; Wen, H.; Zhang, C.; Xu, B.; Li, J.; Su, H. Adaptive Robust Force Position Control for Flexible Active Prosthetic Knee Using Gait Trajectory. Appl. Sci. 2020, 10, 2755.

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