Modern industries increasingly demand high-precision, responsive, and secure motion control systems. This patented product introduces a next-generation linear actuator that incorporates a closed-loop feedback system utilizing light obstruction and high-precision miniature balls for enhanced positional accuracy and reliability.
The core of this innovation lies in a hollowed linear rail engineered with precision-machined holes positioned at consistent pitch intervals along its length. A vehicle or slide, mounted on this rail, carries miniature balls precisely aligned with the holes. Inside the rail, a light source continuously emits illumination. As the vehicle moves, the miniature balls obstruct specific holes, generating a pattern of light and dark signals based on the position of the slide.
These signals are detected by an integrated optical sensor and interpreted as input/output signals to a digital encoder. The encoder converts the light obstruction pattern into real-time positional data, complete with time stamps, which is transmitted to a computer system. The computer—operating as a Programmable Logic Controller (PLC)—uses this data to provide immediate feedback to the actuator, directing the next movement or process step.
A Human-Machine Interface (HMI) with cyber-secure software facilitates intuitive control and monitoring, safeguarding the actuator from external interference or cyber threats. This closed-loop design provides unmatched precision, responsiveness, and reliability.
Due to its unique combination of mechanical engineering, optical sensing, and secure digital control, this smart linear actuator is well-suited for high-stakes applications where precision and dependability are paramount. Target markets include medical robotics, aerospace components, advanced automotive systems, and defense-grade equipment—sectors where even micron-level inaccuracies can have critical consequences.
This system offers a scalable, cost-effective solution for industries looking to elevate motion control to the next level through intelligent, light-based feedback mechanisms.
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About the Entrant
- Name:Troy Cognata
- Type of entry:teamTeam members:
- Dave Dahl