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Model-Based Estimation of Cylinder Pressure Sensor Offset using Least-Squares Methods

Tunestål, Per LU ; Hedrick, J. K. and Johansson, Rolf LU orcid (2001) 4. p.3740-3745
Abstract
Two methods for estimating the sensor offset of a cylinder pressure transducer are developed. Both methods fit the pressure data during pre-combustion compression to a polytropic curve. The first method assumes a known polytropic exponent, and the other estimates the polytropic exponent. The first method results in a linear least-squares problem, and the second method results in a nonlinear least-squares problem. The nonlinear least-squares problem is solved by separating out the nonlinear dependence and solving the single-variable minimization problem. For this, a finite difference Newton method is applied. Using this method, the cost of solving the nonlinear least-squares problem is only slightly higher than solving the linear... (More)
Two methods for estimating the sensor offset of a cylinder pressure transducer are developed. Both methods fit the pressure data during pre-combustion compression to a polytropic curve. The first method assumes a known polytropic exponent, and the other estimates the polytropic exponent. The first method results in a linear least-squares problem, and the second method results in a nonlinear least-squares problem. The nonlinear least-squares problem is solved by separating out the nonlinear dependence and solving the single-variable minimization problem. For this, a finite difference Newton method is applied. Using this method, the cost of solving the nonlinear least-squares problem is only slightly higher than solving the linear least-squares problem. Both methods show good statistical behavior. Estimation error variances are inversely proportional to the number of pressure samples used for the estimation. The method is computationally inexpensive, and well suited for real-time control applications (Less)
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author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
pressure transducers, parameter estimation pressure sensors, least squares approximations, internal combustion engines, Newton method, finite difference methods
host publication
Proceedings of the 40th IEEE Conference on Decision and Control, 2001.
volume
4
pages
3740 - 3745
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:0035709703
ISBN
0-7803-7061-9
DOI
10.1109/.2001.980445
project
Competence Centre for Combustion Processes
language
English
LU publication?
yes
id
da159410-5d04-4806-8c19-668a9075ebf8 (old id 537902)
date added to LUP
2016-04-04 09:58:13
date last changed
2022-01-29 19:32:06
@inproceedings{da159410-5d04-4806-8c19-668a9075ebf8,
  abstract     = {{Two methods for estimating the sensor offset of a cylinder pressure transducer are developed. Both methods fit the pressure data during pre-combustion compression to a polytropic curve. The first method assumes a known polytropic exponent, and the other estimates the polytropic exponent. The first method results in a linear least-squares problem, and the second method results in a nonlinear least-squares problem. The nonlinear least-squares problem is solved by separating out the nonlinear dependence and solving the single-variable minimization problem. For this, a finite difference Newton method is applied. Using this method, the cost of solving the nonlinear least-squares problem is only slightly higher than solving the linear least-squares problem. Both methods show good statistical behavior. Estimation error variances are inversely proportional to the number of pressure samples used for the estimation. The method is computationally inexpensive, and well suited for real-time control applications}},
  author       = {{Tunestål, Per and Hedrick, J. K. and Johansson, Rolf}},
  booktitle    = {{Proceedings of the 40th IEEE Conference on Decision and Control, 2001.}},
  isbn         = {{0-7803-7061-9}},
  keywords     = {{pressure transducers; parameter estimation    pressure sensors; least squares approximations; internal combustion engines; Newton method; finite difference methods}},
  language     = {{eng}},
  pages        = {{3740--3745}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Model-Based Estimation of Cylinder Pressure Sensor Offset using Least-Squares Methods}},
  url          = {{https://lup.lub.lu.se/search/files/5429316/625721.pdf}},
  doi          = {{10.1109/.2001.980445}},
  volume       = {{4}},
  year         = {{2001}},
}