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Contact Us

E-mail:

autumnchen-609@kcydmoter.com

Mobile/whatsapp:

+852 54273134

Add:

4th Floor, Building D, Innovation Cloud Valley, No. 48, Lisongluo Paotai Road, Gongming Street, Guangming New District, Shenzhen

09

2021

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11

Developed AI-coordinated DC brushless motors, reshaping the precision of robot motion control


This product, by deeply integrating artificial intelligence algorithms with motor control technology, has elevated the precision of robot motion control to a new level and has been applied in batches in the fields of industrial robots and service robots. ​


The core breakthrough of this AI-assisted DC brushless motor lies in the "dynamic adaptive control algorithm". Traditional DC brushless motors operate relying on preset parameters and are prone to accuracy deviations under complex working conditions. However, the new algorithm of [Intelligent Drive Technology] can collect motor operation data in real time through the built-in multi-dimensional sensor (position accuracy up to 0.001mm, torque sampling frequency 1kHz), and dynamically adjust parameters such as current and speed in combination with the AI model Even in scenarios with load fluctuations and external interference, it can still maintain a positioning accuracy of ±0.005mm, which is 40% higher than the industry average. ​


In the field of industrial robots, this motor has been applied to the precision assembly robots of a certain automotive parts enterprise. Previously, traditional motors had an assembly defect rate as high as 3.2% due to their inability to cope with load changes caused by minor differences in component sizes. After being equipped with the new motor, the AI algorithm can identify the dimensional deviations of components in real time and adjust the assembly force, reducing the defect rate to 0.15% and increasing the production line efficiency by 25%. In the field of service robots, after a certain catering robot enterprise adopted this motor, the obstacle avoidance response time of the robot in a crowded restaurant environment was shortened to 0.08 seconds, the deviation of the movement trajectory was controlled within 2mm, and the customer experience satisfaction increased by 30%.