“Join iC-Haus´ free webinar on May 20 to explore how iC-NQE optimizes sin/cos sensor performance – incl. basics, applications & live error correction demo!
Performance Booster for Sin/Cos Angular and Linear Position Sensors: Robust magnetic angular and linear position sensors typically use coarse scale gratings to achieve a comfortable reading distance. The resolution on the input side is low, and the signal processing and conversion requirements to obtain an accurate position are correspondingly high. Furthermore, linear applications tend to require higher movement speeds without compromising on standstill accuracy: a stable position with low jitter is an absolute must. The new iC-NQE signal converter meets these demanding requirements and offers further advantages in the application.
The new iC-NQE is a highly integrated mixed-signal circuit for magnetic XMR, inductive, and optical position sensors with real-time 16-bit sine-to-digital conversion and precise analog and digital signal processing. Additional system functions such as status monitoring and the necessary cable drivers for incremental quadrature and absolute BiSS data output are integrated, saving costs and valuable board space in the sensor read head. Applications include absolute and incremental position encoders, drive speed and torque control, brushless motor commutation, robots, AGVs, and many more. On the control side, e.g. on IPC interface cards, in drives or PLCs, iC-NQE could also be used as a 32-bit counter module for input signals of up to 500 kHz.
iC-NQE is a perfect match for the inductive sensor front-end iC-GI22, which will be demonstrated in the webinar.
Key Takeaways:
• Understand the fundamentals of sin/cos interpolation and signal error correction
• Learn how to apply the iC-NQE sensor converter
• See a live demonstration on how iC-NQE compensates signal errors and distortion
Date: Tuesday, May 20, 2025
Time: 9:30 – 10:00 AM CET
Expert Speaker: Joachim Quasdorf
Related Products: iC-SM2, iC-SM5, iC-GI22, iC-NQI, iC-NQC, iC-PI
Register for free: Registration
