Real-time Diagnostics of an Intelligent Electrical Drive

Abstract

This article proposes a new approach to software and hardware implementation of an automatic system for diagnosing the condition of an intelligent electric drive based on the normal behavior method. Diagnostic technology is based on taking into account deviations between a given and calculated mechanical torque in the structure of an intelligent electrical drive. Software analysis of these deviations in the control system allows you to diagnose undesirable phenomena in an electrical machine and drive equipment. The main technological parameters for calculating the mechanical torque are currents, voltages and speed. In addition, the design parameters of an intelligent electric drive are taken into account. According to the results of the study, a prototype of a system for diagnosing an intelligent electrical drive in real time was developed. The software implementation of the prototype diagnostic system is based on a universal dispatch and data collection system. This approach to the software implementation of the diagnostic system can significantly reduce its cost and expand the functionality of existing automatic control systems. The results of tuning and testing the diagnostic system are presented. The response of the control system to the deviation of the mechanical torque from the given torque of normal behavior is simulated.