Master-slave architecture electromechanical controller and health management method

Abstract

The invention provides a master-slave architecture electromechanical controller and a health management method. The master-slave architecture electromechanical controller comprises a master control chip, a slave control chip, a CPLD and a data storage circuit, wherein the master control chip, the slave control chip and the CPLD are all connected with the data storage circuit; the master control chip and the slave control chip are debugged through RS232 serial ports; the CPLD is connected with a motor through a conditioning circuit and is used for receiving a control monitoring signal sent by the motor; the CPLD is connected with the motor through an RS422 and is used for communicating with the motor; the slave control chip is connected with an in-board temperature monitoring circuit; the master control chip and the slave control chip are connected with the CPLD; and the master control chip, the slave control chip, the CPLD and the data storage circuit are connected with a power supplycircuit.

Description

technical field [0001] The application belongs to the technical field of motor control, and in particular relates to a master-slave architecture electromechanical controller and a health management method. Background technique [0002] Motor control systems are widely used in motor position servo systems and transmission systems, and play an important role in industrial production processes. As control chips with higher performance and faster computing speed are developed and applied in the field of industrial control systems, the computing power and work efficiency of the controller system have been greatly improved. However, during the working process of the precision motor system, many objective environmental factors (such as: external temperature, humidity, electrostatic field, etc.) will have a certain impact on the stability and safety of the motor controller. For example, when the motor controller is running at high speed, it may cause local overheating due to uneven...

AI Technical Summary

Problems solved by technology

[0007] It can be seen that the current health management method based on deep learning mainly focuses on the analysis and introduction of the software level, and there is no specific research on the application of the master-slave hardware architecture, and the health management algorithm based on the analysis of the non-position signal is integrated in the motor controller. ideas have never been proposed

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