Novel non-intrusive sensor for piston position measurement

Saber Taghvaeeyan, Rajesh Rajamani, Zongxuan Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a novel sensor for the non-intrusive real-time measurement of piston position inside a cylinder. The proposed sensor exploits the principle that any ferromagnetic object has an inherent magnetic field which varies as a function of position around the object. By modeling the magnetic field as a function of position and using sensors to measure magnetic field intensity, the position of the object can be estimated. This principle is used to measure piston position in a free piston engine without requiring any sensors inside the engine cylinder. The piston is approximated as a rectangular metallic object and the variation of the magnetic field around it is modeled. A challenge arises from the fact that the parameters of the model would vary from engine to engine and would be cumber-some to calibrate for each engine. This challenge is addressed by utilizing two magnetic field sensors with known longitudinal separation between them. An iterated least squares algorithm then provides adaptive parameter estimates and accurate position estimation. Experimental results from a free piston engine set up show that the proposed sensor can provide better than 0.4 mm accuracy in position estimates. The proposed sensing concept can be utilized for piston position measurement in multi-cylinder SI and diesel engines, hydraulic cylinders and in many other position measurement applications.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
Pages3631-3636
Number of pages6
StatePublished - Sep 11 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC
Period6/17/136/19/13

Fingerprint

Position measurement
Pistons
Engine cylinders
Magnetic fields
Sensors
Free piston engines
Engines
Time measurement
Diesel engines
Hydraulics

Keywords

  • Position measurement
  • magnetic sensors
  • parameter estimation
  • piston position estimation

Cite this

Taghvaeeyan, S., Rajamani, R., & Sun, Z. (2013). Novel non-intrusive sensor for piston position measurement. In 2013 American Control Conference, ACC 2013 (pp. 3631-3636). [6580393] (Proceedings of the American Control Conference).

Novel non-intrusive sensor for piston position measurement. / Taghvaeeyan, Saber; Rajamani, Rajesh; Sun, Zongxuan.

2013 American Control Conference, ACC 2013. 2013. p. 3631-3636 6580393 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Taghvaeeyan, S, Rajamani, R & Sun, Z 2013, Novel non-intrusive sensor for piston position measurement. in 2013 American Control Conference, ACC 2013., 6580393, Proceedings of the American Control Conference, pp. 3631-3636, 2013 1st American Control Conference, ACC 2013, Washington, DC, United States, 6/17/13.
Taghvaeeyan S, Rajamani R, Sun Z. Novel non-intrusive sensor for piston position measurement. In 2013 American Control Conference, ACC 2013. 2013. p. 3631-3636. 6580393. (Proceedings of the American Control Conference).
Taghvaeeyan, Saber ; Rajamani, Rajesh ; Sun, Zongxuan. / Novel non-intrusive sensor for piston position measurement. 2013 American Control Conference, ACC 2013. 2013. pp. 3631-3636 (Proceedings of the American Control Conference).
@inproceedings{ac34635b886d49b59261332e950eb68b,
title = "Novel non-intrusive sensor for piston position measurement",
abstract = "This paper proposes a novel sensor for the non-intrusive real-time measurement of piston position inside a cylinder. The proposed sensor exploits the principle that any ferromagnetic object has an inherent magnetic field which varies as a function of position around the object. By modeling the magnetic field as a function of position and using sensors to measure magnetic field intensity, the position of the object can be estimated. This principle is used to measure piston position in a free piston engine without requiring any sensors inside the engine cylinder. The piston is approximated as a rectangular metallic object and the variation of the magnetic field around it is modeled. A challenge arises from the fact that the parameters of the model would vary from engine to engine and would be cumber-some to calibrate for each engine. This challenge is addressed by utilizing two magnetic field sensors with known longitudinal separation between them. An iterated least squares algorithm then provides adaptive parameter estimates and accurate position estimation. Experimental results from a free piston engine set up show that the proposed sensor can provide better than 0.4 mm accuracy in position estimates. The proposed sensing concept can be utilized for piston position measurement in multi-cylinder SI and diesel engines, hydraulic cylinders and in many other position measurement applications.",
keywords = "Position measurement, magnetic sensors, parameter estimation, piston position estimation",
author = "Saber Taghvaeeyan and Rajesh Rajamani and Zongxuan Sun",
year = "2013",
month = "9",
day = "11",
language = "English (US)",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
pages = "3631--3636",
booktitle = "2013 American Control Conference, ACC 2013",

}

TY - GEN

T1 - Novel non-intrusive sensor for piston position measurement

AU - Taghvaeeyan, Saber

AU - Rajamani, Rajesh

AU - Sun, Zongxuan

PY - 2013/9/11

Y1 - 2013/9/11

N2 - This paper proposes a novel sensor for the non-intrusive real-time measurement of piston position inside a cylinder. The proposed sensor exploits the principle that any ferromagnetic object has an inherent magnetic field which varies as a function of position around the object. By modeling the magnetic field as a function of position and using sensors to measure magnetic field intensity, the position of the object can be estimated. This principle is used to measure piston position in a free piston engine without requiring any sensors inside the engine cylinder. The piston is approximated as a rectangular metallic object and the variation of the magnetic field around it is modeled. A challenge arises from the fact that the parameters of the model would vary from engine to engine and would be cumber-some to calibrate for each engine. This challenge is addressed by utilizing two magnetic field sensors with known longitudinal separation between them. An iterated least squares algorithm then provides adaptive parameter estimates and accurate position estimation. Experimental results from a free piston engine set up show that the proposed sensor can provide better than 0.4 mm accuracy in position estimates. The proposed sensing concept can be utilized for piston position measurement in multi-cylinder SI and diesel engines, hydraulic cylinders and in many other position measurement applications.

AB - This paper proposes a novel sensor for the non-intrusive real-time measurement of piston position inside a cylinder. The proposed sensor exploits the principle that any ferromagnetic object has an inherent magnetic field which varies as a function of position around the object. By modeling the magnetic field as a function of position and using sensors to measure magnetic field intensity, the position of the object can be estimated. This principle is used to measure piston position in a free piston engine without requiring any sensors inside the engine cylinder. The piston is approximated as a rectangular metallic object and the variation of the magnetic field around it is modeled. A challenge arises from the fact that the parameters of the model would vary from engine to engine and would be cumber-some to calibrate for each engine. This challenge is addressed by utilizing two magnetic field sensors with known longitudinal separation between them. An iterated least squares algorithm then provides adaptive parameter estimates and accurate position estimation. Experimental results from a free piston engine set up show that the proposed sensor can provide better than 0.4 mm accuracy in position estimates. The proposed sensing concept can be utilized for piston position measurement in multi-cylinder SI and diesel engines, hydraulic cylinders and in many other position measurement applications.

KW - Position measurement

KW - magnetic sensors

KW - parameter estimation

KW - piston position estimation

UR - http://www.scopus.com/inward/record.url?scp=84883500406&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883500406&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84883500406

SN - 9781479901777

T3 - Proceedings of the American Control Conference

SP - 3631

EP - 3636

BT - 2013 American Control Conference, ACC 2013

ER -