| Summary: | 碩士 === 逢甲大學 === 電機工程所 === 101 === The main purpose of this thesis is to design and implement the arm strength training machine with electromyographic (EMG) biofeedback based on an embedded controller system. It can replace the traditional strength training machine by driving the PMSM to simulate the bearing-weight such as dumbbells. The characteristics of actual torque, exercising force, motor speed as well as EMG signals from the motion of arm strength will be displayed on the screen panel of human interface.
The system function based on the microcontroller, dsPIC30F4011 is designed and implemented in this thesis. The hardware structure includes AC/DC converter, AC/AC inverter, voltage detection, current detection, optical coupling isolation, and the gate drive circuits. In addition, the hardware circuit of EMG signal detection which includes instrumentation amplifier, high pass filter, low-pass filter, and precision full-wave rectifier circuit, is used for physiological signal amplification. The minute physiological signal for a muscle contraction and expansion is firstly sensed by EMG sensor. It is amplified and filtered by EMG detection system designed in this thesis, and then fed into the microprocessor for calculation. Finally, the EMG data is stored in the microprocessor and transmitted to the PC human interface panel.
The sinusoidal pulse width modulation (SPWM) switching is employed in this thesis as well as the proportional-integral-derivative (PID) control algorithm. The system software is developed under the MPLAB development environment. The PC human interface is written in Borland C language. Finally, the experimental results demonstrate the completion of designed system.
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