Effect of phase in fast frequency measurements for sensors embedded in robotic systems

The use of sensors is a primary need in robotic systems. There are sensors that generate a signal whose frequency depends on input stimulus. The application of such sensors is desirable due to their short response time, accuracy, and resolution. For proper use of these sensors, adequate frequency measurement is required. The principle of rational approximations is a method for frequency estimation that has advantages over other measurement methods. Some of them include not a fixed sampling time, insensitivity to jitter, and accuracy limited by the reference stability. Nevertheless, there are some measurement parameters with a not well-researched effect in measurement process. The objective of this work is to elucidate how the phase of input signals (measurand and reference) affects the frequency measurement process.

[1]  Sergey Y. Yurish,et al.  Methods of dependent count for frequency measurements , 2001 .

[2]  Andrei Tchernykh,et al.  Rational approximations principle for frequency shifts measurement in frequency domain sensors , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[3]  Wilmar Hernandez,et al.  Analysis of jitter influence in fast frequency measurements , 2011 .

[4]  Moises Rivas-Lopez,et al.  Constraints definition and application optimization based on geometric analysis of the frequency measurement method by pulse coincidence , 2018 .

[5]  Daniel Hernandez-Balbuena,et al.  Optimization of pulse width for frequency measurement by the method of rational approximations principle , 2018, Measurement.

[6]  Daniel Hernandez-Balbuena,et al.  Mathematical Modelling of molecular adsorption in zeolite coated frequency domain sensors , 2015 .

[7]  Grantham K. H. Pang,et al.  Accelerometer for mobile robot positioning , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[8]  Moises Rivas-Lopez,et al.  Pulse width influence in fast frequency measurements using rational approximations , 2016 .

[9]  Yonggang Huang,et al.  Three-dimensional piezoelectric polymer microsystems for vibrational energy harvesting, robotic interfaces and biomedical implants , 2019, Nature Electronics.

[10]  Daniel Hernandez-Balbuena,et al.  Frequency Domain Sensors and Frequency Measurement Techniques , 2015 .

[11]  Weiqing Yang,et al.  Cowpea-structured PVDF/ZnO nanofibers based flexible self-powered piezoelectric bending motion sensor towards remote control of gestures , 2019, Nano Energy.

[12]  Józef Kalisz,et al.  Review of methods for time interval measurements with picosecond resolution , 2004 .

[13]  S. Johansson.  New frequency counting principle improves resolution , 2005, Proceedings of the 2005 IEEE International Frequency Control Symposium and Exposition, 2005..

[14]  W. Hernandez,et al.  Automotive FDS Resolution Improvement by Using the Principle of Rational Approximation , 2012, IEEE Sensors Journal.

[15]  Daniel Hernandez-Balbuena,et al.  A New Approach to Measurement of Frequency Shifts Using the Principle of Rational Approximations , 2017 .

[16]  Yaoyao Wang,et al.  A miniature piezoelectric spiral tactile sensor for tissue hardness palpation with catheter robot in minimally invasive surgery , 2019, Smart Materials and Structures.

[17]  Athar Mahboob,et al.  Single-Equipment with Multiple-Application for an Automated Robot-Car Control System , 2019, Sensors.

[18]  Oleg Sergiyenko,et al.  Signal frequency measurement by rational approximations , 2009 .