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2. Control Method for Myoelectric Prosthetic Hand’s Grip Force Based on Neural Network and Fuzzy Logic Controller

Author

Hua Tao Zhang, Yan Guo, Kui Qian, Ai Guo Song, and Jia Tong Bao

Subjects
Prosthetic hand, Fuzzy logic controller, Engineering, Artificial neural network, Control theory, business.industry, Individual difference, General Engineering, Grip force, business, Signal, Fuzzy logic, Control methods
Abstract

This paper presents a control method for prosthetic hand's grip force. Firstly, the correlated characters of the SEMG signal are calculated and input into the neural network in order to extract the estimation of muscle strength. Secondly, the estimation of muscle strength and the real-time prosthetic hand’s grip force are input into the designed fuzzy logic controller in order to adjust the motor speed, and indirectly control the grip force. This method could greatly reduce the individual difference of SEMG signal, make it can be used by Non-specific patient, and the experiment demonstrates that the control of prosthetic hand’s grip force is effective.

Published
2011

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