High resolution measurement of physical variables change for INS

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Fabian N. Murrieta-Rico
  • Daniel Hernandez-Balbuena
  • Julio C. Rodriguez-Quiñonez
  • Paolo Mercorelli
  • Vitalii Petranovskii
  • Oscar Raymond-Herrera
  • Juan I. Nieto-Hipolito
  • Vera Tyrsa
  • Oleg Sergiyenko
  • Lars Lindner
  • Wilmar Hernández

Fast and accurate measurement of physical variables is critical for many systems. Inertial navigation systems (INS) are components of paramount importance for aerial vehicles, one of the tasks of INS is to determine the position of the moving particle. The INS has an Inertial Measurement Unit (IMU), where there are sensors, in particular accelerometers which allow the IMU to calculate speed and position, just by integrating the measured acceleration. Accelerometers have a frequency domain output, this makes them a particular case of Frequency domain sensors (FDS). As it is well known in metrology of time-frequency, when measuring a frequency source, more time is required if more accuracy is needed. For a device which is moving at high speed, a delay in the measurement of any of its parameters could lead to a delay in the control's response. For this reason, the purspose of this work is to show how to reduce the time required for measuring the output from an accelerometer inside an IMU. In particular, this work deals with the task of improving resolution, speed and quality of measurements of FDS. This is done by using the rational approximations principle and theory developed by our research group.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016
Number of pages6
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date17.11.2016
Pages912-917
ISBN (electronic)978-1-5090-0873-5
DOIs
Publication statusPublished - 17.11.2016
EventInternational Symposium on Industrial Electronics - ISIE 2016: Challenges of the IoT - Santa Clara, United States
Duration: 08.06.201610.06.2016
Conference number: 25
http://isie2016.org/

    Research areas

  • Engineering - FDS, Frequency measurement, INS, Rational approximations

Recently viewed

Publications

  1. Introduction: The representative turn in EU Studies
  2. Intraspecific trait variation increases species diversity in a trait-based grassland model
  3. An Outcome-Oriented, Social-Ecological Framework for Assessing Protected Area Effectiveness
  4. Development and evaluation of Open Educational Resources to improve teacher's knowledge on spatial abilities
  5. Sliding Mode Control Strategies for Maglev Systems Based on Kalman Filtering
  6. Traffic Life: Temporal Dynamics and Regulatory Dimensions in Agent-Based Transport Simulations
  7. Optimising business performance with standard software systems
  8. Instruments for co-operative planning in spatial management concerned with flooding issues
  9. Separable models for interconnected production-inventory systems
  10. Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
  11. Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities
  12. Programmierung einer DELTA-Roboterzelle nach PackML Standard
  13. High-precision frequency measurements: indispensable tools at the core of the molecular-level analysis of complex systems.
  14. Agile Portfolio Management Patterns
  15. Self-improvement for Computerized Adaptive Testing
  16. Atomic Animals
  17. The language of situated joint activity: Social virtual reality and language learning in virtual exchange
  18. Using Daily Stretching to Counteract Performance Decreases as a Result of Reduced Physical Activity—A Controlled Trial
  19. Landscape modification and habitat fragmentation: a synthesis
  20. Artificial Intelligence as a cultural technique
  21. The more severe the merrier: Severity of error consequences stimulates learning from error
  22. Lost-customers approximation of semi-open queueing networks with backordering
  23. Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data
  24. Belief in free will affects causal attributions when judging others’ behavior