27th Signal Processing and Communications Applications Conference (SIU), Sivas, Türkiye, 24 - 26 Nisan 2019
In medical drills, battery drills are highly preferred due to their comfort. Battery discharge during operation is a very important problem. For this reason, it is important to use the control method to minimize the energy consumption and to keep the drill speed in the desired range. In order to design an efficient control in any system, the system model and system parameters must be known. In this study, parameter estimation of a direct current geared motor used in medical drills was carried out by using system input/output signals. Nonlinear Least Squares method was used to estimate parameters then Genetic Algorithm optimization used to improve the model estimation performance. It was observed that the data obtained from the physical system and the model behaviors were similar in an acceptable range. Modeling improvement has been proven based on the criteria of Mean Square Error, Root Mean Square Error, Sum Square Error and Root Sum Square Error.