LearningBoost

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LearningBoost

Increase throughput by pre-emptively compensating for system disturbances

Increase motion system accuracy and throughput by learning and pre-emptively compensating for system disturbances using LearningBoost, a state-of-the-art control algorithm developed by ACS. Anticipatory corrections are autonomously implemented synchronous to motion, providing continuously improved motion performance.

Enhance your machine’s performance capabilities using LearningBoost as an optimization tool, and combine LearningBoost with other powerful ACS servo algorithms for the ultimate motion performance.

Please contact your ACS representative for more information.

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Key Specs & Capabilities

LearningBoost Key Features & Benefits

Flexible learning and compensation options
Offline learning modes for machine calibration and commissioning
Dynamic online learning modes for in-process improvement
Learn and store up to 100 motion recipes using local memory
Access and manipulate learning compensations for further performance optimization
High-frequency compensation for mechanical resonances and their harmonics
Reduce cyclic errors, including motor cogging, encoder misalignment, and bearing-induced errors