P10 - Advanced Self-X Architecture for Improved Angle Accuracy Restoration in TMR-Based Angular Decoders
- Event
- 22. GMA/ITG-Fachtagung Sensoren und Messsysteme 2024
2024-06-11 - 2024-06-12
Nürnberg - Band
- Poster
- Chapter
- Poster
- Author(s)
- E. Gerken, Q. Zaman, S. Alraho, A. König - Universität Kaiserslautern-Landau,Kaiserslautern
- Pages
- 452 - 459
- DOI
- 10.5162/sensoren2024/P10
- ISBN
- 978-3-910600-01-0
- Price
- free
Abstract
This work delves into the vital role of self-X systems within sensor technology, underlining their increasing significance in boosting system robustness and reliability, and provides a concise list of possible sensor failures, illustrating the broad spectrum of challenges in sensory system lifetimes. The study begins by applying self-X principles inspired by biological immune system (BIS), particularly its inherent ability to autonomously detect and respond to anomalies. It specifically examines the implementation of self-X concepts in xMR-angular decoders, adopting a hierarchical approach to demonstrate their practical effectiveness in sensor systems. This research includes upgrades to the experimental setup, integrating autonomous offset calibration through digital offset auto zeroing in a self-X equipped reconfigurable analog front end (AFEX), along with a 4th-order active low pass filter for considerable noise reduction. The focus on offset and gain adjustments is presented as an initial step towards a more comprehensive work aimed at addressing a wide array of known sensor issues. A key finding of this study is the significant reduction of an initial angular decoding error from 6.337° to 0.462°, a 92.71% improvement, demonstrating the effectiveness of the advanced self-X architecture. This dynamic approach marks a significant shift from static methods, providing a strong foundation for future developments in the areas of sustainability and autonomy of sensor systems.