Classification of Optoelectronic Rotary Encoder Faults Based on Deep Learning Methods in Permanent Magnet Synchronous Motor Drive System

Abstract

This article presents the classification of optoelectronics encoder faults in a permanent magnet synchronous motor (PMSM) drive system. This paper proposes the deep neural networks (DNNs) speed sensor faults classification application in the vector-controlled PMSM drive. This approach to the issue has not been discussed in the literature before. This work presents a solution based on early detection with the use of the model reference adaptive system (MRAS) estimator and fault classification based on artificial intelligence. The innovative nature of this work is also due to the simulation of speed sensor damage using the developed optoelectronics encoder model in the Matlab/Simulink environment. This work is focused on simulation studies, which have been supported by experimental results obtained on the MicroLabBox platform. This article compares two structures of deep neural networks in fault detection. The results were also compared with previous experimental studies on the classification of speed sensor failures using shallow neural networks.

A 19-Bit Small Absolute Matrix Encoder

“…It is a sensor that converts the mechanical angular displacement into a pulse or digital quantity through photoelectric conversion [ 1 , 2 , 3 ]. Photoelectric encoders are widely used in many fields such as radar, photoelectric theodolite, CNC machine tool, robot and high-precision closed-loop speed control systems because of their high precision, fast response, non-contact measurement, anti-interference ability and stable performance [ 4 , 5 ].…”

“…In 2010, Changchun Optical Machine Institute developed an eight-matrix absolute photoelectric encoder, which can realize 10-bit binary coding by engraving a two-circle matrix code track. In 2011, Changchun University of Science and Technology proposed a new matrix encoder solution, which realized 12-bit matrix coding by engraving two circles of matrix code; single-ring Gray code is a perfect encoding, but there are still many theoretical issues that need to be solved urgently [ 4 , 13 ]. Because the m-sequence code has no univariant, there are multi-bit changes between adjacent codes in use.…”

Absolute Photoelectric Encoder Based on Position-Sensitive Detector Sensor

“…A photoelectric encoder, also known as a photoelectric angle position sensor, is a digital angle-measuring device that integrates light, machinery, and electricity. It is a sensor that converts the mechanical angular displacement transmitted to the shaft into a pulse signal through photoelectric conversion [1,2]. The traditional absolute photoelectric encoder mainly consists of a light source, a code disk, and photosensitive elements [3].…”