Sensorless Measurement of Solenoid Stroke and Temperature using Convolution Neural Network with Two Points of PWM Driving Current

In this paper, we describe the algorithm to measure the stroke and the temperature of solenoid using PWM driving current at two points based on the electric characteristics of the solenoid with CNN, without mechanical attachments. We describe the evaluation experimental results of the stroke and the temperature prediction. We also describe the preliminary experimental results of controlling the solenoid stroke at intermediate position.