This paper proposes an algorithm for velocity estimation using the position and acceleration signals obtained respectively from a resistive potentiometric displacement sensor and a MEMS accelerometer. The algorithm is composed of two processing chains that independently estimate velocity starting from position and acceleration signals. Velocity estimation from position is obtained through an adaptive windowing differentiator while the estimation from acceleration is based on a leaky integrator low-pass filter. Such two estimations are fused together by means of a tailored weighted average. The proposed algorithm is first simulated in MATLAB and then experimentally implemented and tested. Both simulations and experimental results show that velocity estimation given by the fusion of the outputs of the two processing chains has a lower estimation error compared to the output of each single chain.

Algorithm for Velocity Estimation in a Multivariable Motion Sensor

Mazzoli, Federico
;
Alghisi, Davide;Ferrari, Vittorio
2023-01-01

Abstract

This paper proposes an algorithm for velocity estimation using the position and acceleration signals obtained respectively from a resistive potentiometric displacement sensor and a MEMS accelerometer. The algorithm is composed of two processing chains that independently estimate velocity starting from position and acceleration signals. Velocity estimation from position is obtained through an adaptive windowing differentiator while the estimation from acceleration is based on a leaky integrator low-pass filter. Such two estimations are fused together by means of a tailored weighted average. The proposed algorithm is first simulated in MATLAB and then experimentally implemented and tested. Both simulations and experimental results show that velocity estimation given by the fusion of the outputs of the two processing chains has a lower estimation error compared to the output of each single chain.
File in questo prodotto:
File Dimensione Formato  
Algorithm for Velocity Estimation in a Multivariable Motion Sensor.pdf

accesso aperto

Tipologia: Full Text
Licenza: PUBBLICO - Creative Commons 4.0
Dimensione 1.04 MB
Formato Adobe PDF
1.04 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/585985
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact