Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis
This article focuses on the design of a control system for intelligent prostheses. Learning vector quantization neural network–based model reference adaptive control method is employed to implement real-time trajectory tracking and damp torque control of intelligent lower-limb prosthesis. The method...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2016-04-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814016647354 |
| _version_ | 1828761156395728896 |
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| author | Jia-Qiang Yang Lei Yang Yuliang Ma |
| author_facet | Jia-Qiang Yang Lei Yang Yuliang Ma |
| author_sort | Jia-Qiang Yang |
| collection | DOAJ |
| description | This article focuses on the design of a control system for intelligent prostheses. Learning vector quantization neural network–based model reference adaptive control method is employed to implement real-time trajectory tracking and damp torque control of intelligent lower-limb prosthesis. The method is then analyzed and proposed. A model reference control system is first built with two learning vector quantization neural networks. One neural network is used for output prediction, and the other is used for input control. The angle information of the prosthetic knee joint is utilized to train these two neural networks with the given learning algorithm. The testing results of different movement patterns verify the effectiveness of the proposed method and its suitability for intelligent lower-limb prostheses. |
| first_indexed | 2024-12-11T01:25:21Z |
| format | Article |
| id | doaj.art-50ff9a6db0b74b6db70a2756718c8639 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-11T01:25:21Z |
| publishDate | 2016-04-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-50ff9a6db0b74b6db70a2756718c86392022-12-22T01:25:33ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-04-01810.1177/168781401664735410.1177_1687814016647354Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesisJia-Qiang Yang0Lei Yang1Yuliang Ma2College of Electrical Engineering, Zhejiang University, Hangzhou, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou, ChinaCollege of Automation, Hangzhou Dianzi University, Hangzhou, ChinaThis article focuses on the design of a control system for intelligent prostheses. Learning vector quantization neural network–based model reference adaptive control method is employed to implement real-time trajectory tracking and damp torque control of intelligent lower-limb prosthesis. The method is then analyzed and proposed. A model reference control system is first built with two learning vector quantization neural networks. One neural network is used for output prediction, and the other is used for input control. The angle information of the prosthetic knee joint is utilized to train these two neural networks with the given learning algorithm. The testing results of different movement patterns verify the effectiveness of the proposed method and its suitability for intelligent lower-limb prostheses.https://doi.org/10.1177/1687814016647354 |
| spellingShingle | Jia-Qiang Yang Lei Yang Yuliang Ma Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis Advances in Mechanical Engineering |
| title | Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis |
| title_full | Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis |
| title_fullStr | Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis |
| title_full_unstemmed | Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis |
| title_short | Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis |
| title_sort | learning vector quantization neural network based model reference adaptive control method for intelligent lower limb prosthesis |
| url | https://doi.org/10.1177/1687814016647354 |
| work_keys_str_mv | AT jiaqiangyang learningvectorquantizationneuralnetworkbasedmodelreferenceadaptivecontrolmethodforintelligentlowerlimbprosthesis AT leiyang learningvectorquantizationneuralnetworkbasedmodelreferenceadaptivecontrolmethodforintelligentlowerlimbprosthesis AT yuliangma learningvectorquantizationneuralnetworkbasedmodelreferenceadaptivecontrolmethodforintelligentlowerlimbprosthesis |