Device for intelligently rectifying deviation of cleaning robot through cooperation of gyroscope and stepping motor

By using gyroscopes and stepper motors in photovoltaic panel cleaning robots and intelligent deviation correction combined with LSTM neural network model, the problems of tilt and path offset during cleaning are solved, achieving a more stable and efficient cleaning effect.

CN119675569APending Publication Date: 2025-03-21CECEP SOLAR ENERGY TECH (ZHENJIANG) CO LTD
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Patent Information

Application Number
CN202411693266.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

Photovoltaic panel cleaning robots are prone to tilt and path offset during cleaning, resulting in a decrease in cleaning effect or the robot is stuck. It is difficult for the existing technology to effectively solve these problems.

Method used

The gyroscope is used to combine with the stepper motor to monitor the yaw and tilt of the robot in real time through the gyroscope, and the offset training is carried out in combination with the LSTM neural network model to generate step frequency adjustment instructions to achieve intelligent deviation correction.

Benefits of technology

It effectively avoids deviation caused by friction differences and path changes, ensures the stability and accuracy of the cleaning robot, and improves the cleaning efficiency and equipment working time.

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Abstract

The invention discloses an intelligent correction cleaning robot device with a gyroscope matched with a stepping motor, and the device comprises the gyroscope which is installed on a middle support and is used for monitoring the relative horizontal position of an upper transmission part and a lower transmission part in real time; the stepping motor is mounted on the upper and lower transmission brackets, is connected in series with the walking wheels through a transmission shaft and is used for driving the cleaning robot to advance; the control panel receives an offset signal of the gyroscope, performs offset training based on an LSTM neural network model, and generates a stride frequency adjustment instruction; the helical gear pair is installed on the transmission shaft, and the motion direction of the stepping motor is changed to adapt to different path requirements. The walking wheels and the depended wheels provide advancing power and assist in deviation correction. The device can effectively cope with deviation caused by topographic relief and inclination in the cleaning process, the stability of a cleaning path and the cleaning efficiency are remarkably improved, and the device has the advantages of being compact in structure and convenient and fast to install and is suitable for intelligent cleaning application to various complex terrains.
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