System and method for translating AI natural language description to Python code

Abstract

The invention discloses a system and method for translating AI natural language description to Python codes, and the system comprises a multi-axis synchronous control module, a PLC controller, a pulse collection module, and a servo motor drive module. The input end of the pulse collection module is connected with the output end of an external master motor encoder, the first end of each multi-axis synchronous control module is connected with the output end of the pulse acquisition module, and the third end of each multi-axis synchronous control module is connected with the plurality of servo motor driving modules. According to the system and method for translating AI natural language description to Python codes, the functions of pulse counting, slave motor control pulse generation, slave motor pulse parallel control and industrial Ethernet interface integration are achieved through the multi-axis synchronous control module, high-precision synchronous control between slave motors is achieved through a networked structure, communication among the synchronous control system, the external PLC, the upper computer and the human-computer interface is realized through an industrial Ethernet bus.

Description

technical field [0001] The invention relates to the technical field of multi-motor synchronous control, in particular to a translation system and method from AI natural language description to Python code. Background technique [0002] In the application field of motor synchronous control, since the single-axis system drives large symmetrical loads, the driving force of the loads at both ends is often inconsistent, which will adversely affect the quality of the product and the service life of the equipment. Therefore, the current motor synchronous control mostly uses A core controller is composed of several subunits connected to it. Each subunit has an independent motor to control the corresponding motion axis. Under the control of the controller, the motion axes of each subunit can run in parallel and synchronously, and each axis They are all driven by independent motors, which significantly improves the load capacity of the shaft, and also greatly simplifies the mechanical...

AI Technical Summary

Problems solved by technology

[0002] In the application field of motor synchronous control, since the single-axis system drives large symmetrical loads, the driving force of the loads at both ends is often inconsistent, which will adversely affect the quality of the product and the service life of the equipment. Therefore, the current motor synchronous control mostly uses A core controller is composed of several sub-units connected to it. Each sub-unit has an independent motor to control the corresponding motion axis. Under the control of the controller, the motion axes of each sub-unit can run synchronously in parallel, and each axis All are driven by independent motors, which significantly improves the load capacity of the shaft, and also greatly simplifies the mechanical structure of the equipment to achieve higher precision and synchronous control. However, the structure of the synchronous motor control system is complex and cannot meet Realize the requirements of informatization and networking

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