AI image recognition sensor probe-based edge compensation control system

Abstract

The invention relates to the technical field of automatic control, and discloses an AI image recognition sensor probe-based edge compensation control system, which comprises an AI image recognition sensor probe, a motor driver and an edge compensation controller, and is characterized in that the AI image recognition sensor probe comprises an image acquisition element, an RGB three-color background light source and an RISC-V kernel 64-bit MCU; and the motor driver comprises an electric push rod and a drive board. The drive board comprises a power conversion module, an ARM cortex-M4 kernel 32-bit MCU, a magnetic angle position sensor, a high-speed ADC and a three-phase drive axle composed of six power MOS tubes. The edge compensation controller comprises a man-machine interaction panel, a high-precision A/D converter, an ARM CotexM3 kernel 32-bit MCU, a PWM pulse amplification power device, a remote IO and a remote serial communication interface. The system is suitable for real-time detection of materials of various specifications and appearances, the positioning precision is greatly improved while signal interference is solved, and a friendly man-machine interaction effect is further provided.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular to an edge-filling control system for a sensor probe based on AI image recognition. Background technique [0002] In most of the existing automated production lines, in order to avoid material deviation in the transmission, transfer, processing and other links of materials, it is necessary to use an automatic edge-filling control system composed of sensor probes, driving mechanisms, supporting controllers and algorithms. Track, monitor and adjust the material's travel trajectory. [0003] In the existing automatic edge compensation control system, the commonly used displacement detection sensors generally include ultrasonic, infrared photoelectric and CCD image sensors. The image scanning detection element used by the CCD image sensor detection probe is a color or grayscale linear array CCD image sensor, but this linear array CCD image sensor can only track continuous and...

AI Technical Summary

Problems solved by technology

It has the advantages of simple structure and convenient control, but the disadvantage is that the positioning accuracy is not high enough, and there may be a certain distance between the motor driver and the motor installation position during the user's on-site use, and in some places there are a large number of electrical equipment (such as frequency converters) There is generally strong electromagnetic interference in the field, so if the field wiring is unreasonable, the signal of the Hall switch position sensor that comes with the motor will be interfered, which will cause the motor driver to fail to detect the accurate commutation signal, thereby affecting to the normal operation of the motor

[0005] In addition, in order to further improve the effect of human-computer interaction, it is necessary to improve the input and output ports of the controller to avoid problems such as unstable signals, high delay, and single control mode.

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