Author:
Assfaw Dawit,Seid Solomon
Abstract
A large number of transfemoral amputees living in low-income countries could not access a much-needed prosthesis. Hence, affordable semi-active prosthetic knees have been designed in recent years. As the swing phase of the gait cycle is unstable as compared to the stance phase, these designs could not perfectly mimic this phase of a healthy human being. In contribution toward such a gap, this study proposes the modeling and design of a robust controller for magnetorheological (MR) damper-based semi-active prosthetic knee. A dynamic model representation for the swing phase of the single-axis knee is derived first. Subsequently, an MR damper valve model is developed. Then, a higher-order sliding mode controller is designed and evaluated for its stability and performance. The numerical simulation results show that the super twisting sliding mode controller improves the semi-active prosthetic knee’s tracking efficiency. The design exhibited the finest performance, providing a low normalized mean square error as compared to previous designs. The variable speed performance and robustness evaluation for this controller also showed its ability to continue providing excellent performance in the presence of disturbances.
Subject
Artificial Intelligence,Computer Science Applications
Reference19 articles.
1. Fault Tolerant Control Using Integral Sliding Modes;Edwards,2018
2. Swing Phase Control of Semi-active Prosthetic Knee Using Neural Network Predictive Control with Particle Swarm Optimization;Ekkachai;IEEE Trans. Neural Syst. Rehabil. Eng.,2016
3. Variable Walking Speed Controller of MR Damper Prosthetic Knee Using Neural Network Predictive Control;Ekkachai,2014
4. Semi-active Suspension Control;Guglielmino,2008
5. Properties and Applications of Commercial Magnetorheological Fluids;Jolly;Journal of Intelligent Material Systems and Structures,1999
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