Research On Intelligent Prosthetic Hand Control System Based On Microcontroller

In the late 20 th century, industrial technology advances, especially the rapid development of biology, computers, machinery, materials, and other areas of prosthetic technology has made incredible strides in the past. Mechanical prostheses, myoelectric prostheses, prosthetic EEG have entered the people’s attention and even has entered people’s lives. One of the most outstanding company has produced a number of powerful features, appearance, intelligent myoelectric prosthetic hand to help many people with disabilities hand back to normal life. However, these famous prosthetic manufacturers but because of geography, conditions, economic conditions, the development of our country and the majority of smart prosthetics to help people with disabilities is quite limited.This paper concludes and expounds the process and method of intelligent prosthetic hand control system research based on microcontroller, pickup, EMG signal amplification, filtering, key signal analysis, PID algorithm for motor control and control system design. And in the future on the basis of this model a specific product design principle, scheme and market prospect, thus completing the research work of the intelligent hand control system based on mcu. Pick up the myoelectric signals using mount on the surface of the human body, has no trauma, easy to install, epidermal EMG acquisition device characteristics of the signal source interference small. The instrumentation amplifier INA129 from TI, generally in 50 ~ 300 Hz of frequency, amplitude is 50μV ~ 500μV low-frequency nonstationary random signal is amplified. The V pole, can carry on the recognition and analysis processing by the microcontroller. And through the two stage amplifier, and 50 Hz frequency band stop filter, low pass filter, high pass filter of three stage filtering, extracting 50 ~ 300 Hz within the effective EMG signal. The use of the method of successive approximation method of AD7862 analog to digital converter, EMG signal is analog signal has been turn into digital signal that processor can be recognition. And use the method of frequency domain analysis of different EMG signals, get the instruction movement in different ways. Through the micro controller to control the motor execution system. The classical proportional integral differential control algorithm has been choiced. easy to adjust parameters, without the mathematical model of the controlled object can regulate the controlled system, is a reliable control method.The intelligent prosthesis control system in this study has a relatively simple structure, easy to control, the cost of production can be well controlled, to provide reference for solving practical problems.