Design of hardware circuit based on a neural network model for rapid detection of center of gravity position

This paper proposes a rapid detection method for the center of gravity based on a neural network model. It is suitable for the rapid response requirement such as attitude control of a gait robot or real time torque control of a running car. The proposed method detects the center of gravity position on a straight line by using only the hardware circuit composing of common electronic devices instead of software, microprocessor and AD converter. The circuit employs some neural based comparators without the learning function to simplify the circuit structure. The detection circuit using some parallel processing neural comparators rapidly detects the center of gravity position on a straight line. In this paper, the circuit is designed and fabricated with electronic devices, and the circuit experiment shows the performance of the position detection.