Dynamic compensation of sensors based on improved recursive least squares algorithm

Author

Yijiang Liu ; Shuanghong Liu ; Zhenzhen Qin ; Zhijie Zhang ; Lifan Meng

Author_Institution

Meas. Lab., North Univ. of China, Taiyuan, China

fYear

2013

fDate

4-7 Aug. 2013

Firstpage

196

Lastpage

200

Abstract

In order to eliminate the sensor´s dynamic error, a method that improved recursive least squares method is proposed. Gradient descent method is used to generate the initial value of the filter parameters, then the recursive least squares method (RLS) algorithm is used to optimize the parameters. The algorithm is tested and verified on the matlab platform. The time-domain response and frequency domain response of the sensor are analyzed before and after compensation. The piezoelectric sensor CY_YD-205 is compensated. Engineering experiments show that the compensation filter designed by the improved recursive least squares algorithm can improve the dynamic characteristics of the sensor system.

Keywords

compensation; gradient methods; least squares approximations; piezoelectric transducers; sensors; CY_YD-205; compensation filter; dynamic compensation; filter parameters; frequency domain response; gradient descent method; matlab platform; piezoelectric sensor; recursive least squares algorithm; sensors; time-domain response; Aerodynamics; Heuristic algorithms; Mathematical model; Sensor phenomena and characterization; Sensor systems; Time-domain analysis; dynamic characteristic; dynamic compensation; improved RLS algorithm; matlab; sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2013 IEEE International Conference on

Conference_Location

Takamatsu

Print_ISBN

978-1-4673-5557-5

Type

conf

DOI

10.1109/ICMA.2013.6617917

Filename

6617917