Intelligent Technique for Electromechanical System Data by Using Model of NARX Neural Network

Abstract

In this study, the electromechanical systems have been modeled using the neural network technique. One of the most important parts of engineering is system modeling, which is essential for both system analysis and control process implementation, especially when a sophisticated and accurate modeling approach like NARX neural networks is employed. In order to gather the vibration produced by the electromechanical system devices after a sinusoidal voltage between zero and forty volts was applied, a practical test was carried out in this study. One side of the actuator was fixed, while the other side was free. After double integration for the output signal, the displacement data was gathered using an accelerometer sensor. Following variable modification, the transfer function, which shows the system's dynamic behavior based on input and output data is produced. NARX neural network approach was utilized for modeling using the MATLAB application. The outcomes demonstrated how well the NARX neural network approach represented the system and produced an appropriate transfer function in the time and frequency domains. Prior to and throughout the modeling process, the system's behavior remained unchanged, and the minimal mean square error was 0.00001391.