S1120503 Experimental evaluation on the estimation of angular position of gears by using nonlinear oscillator

The present paper proposes a new signal processing method, in which a neural oscillator synchronizes to a meshing frequency for estimating the angular position of the meshing gear pair without the help of speed sensors. Especially, as a very first step, we verify through experiments that the proposed method is able to estimate the angular velocity of the rotary shaft. In order to evaluate the estimated value, the actual value of the angular position is measured by using a laser displacement sensor and cam mechanism, which is installed to the rotary shaft. Based on the comparison of both estimated and actual values, a conclusion is drawn regarding which the proposed neuronal system appears to be able to extract and detect the change of rotation speed of the shaft.