Robust nonlinear generalised minimum variance control

Sung-ho Hur; Michael J. Grimble

doi:10.1109/ACC.2012.6314886

Robust nonlinear generalised minimum variance control

Sung-ho Hur, Michael J. Grimble

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

Abstract

This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults.

The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstrating
improvements that can be achieved by the extended controller over the original controller.

Original language	English
Title of host publication	American Control Conference (ACC), 2012
Place of Publication	New York
Publisher	IEEE
Pages	6721-6726
Number of pages	6
ISBN (Print)	9781457710957
DOIs	https://doi.org/10.1109/ACC.2012.6314886
Publication status	Published - 1 Oct 2012
Event	American Control Conference 2012 - Montréal, Canada Duration: 27 Jun 2012 → 29 Jun 2012

Conference

Conference	American Control Conference 2012
Country/Territory	Canada
City	Montréal
Period	27/06/12 → 29/06/12

Keywords

nonlinear generalised minimum variance control
Kalman filter
nonlinear tank model

Access to Document

10.1109/ACC.2012.6314886

Cite this

@inproceedings{0923b83d37a24533bcb95ad57ab652f8,

title = "Robust nonlinear generalised minimum variance control",

abstract = "This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults.The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstratingimprovements that can be achieved by the extended controller over the original controller.",

keywords = "nonlinear generalised minimum variance control , Kalman filter , nonlinear tank model ",

author = "Sung-ho Hur and Grimble, {Michael J.}",

year = "2012",

month = oct,

day = "1",

doi = "10.1109/ACC.2012.6314886",

language = "English",

isbn = "9781457710957",

pages = "6721--6726",

booktitle = "American Control Conference (ACC), 2012",

publisher = "IEEE",

note = "American Control Conference 2012 ; Conference date: 27-06-2012 Through 29-06-2012",

}

TY - GEN

T1 - Robust nonlinear generalised minimum variance control

AU - Hur, Sung-ho

AU - Grimble, Michael J.

PY - 2012/10/1

Y1 - 2012/10/1

N2 - This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults.The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstratingimprovements that can be achieved by the extended controller over the original controller.

AB - This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults.The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstratingimprovements that can be achieved by the extended controller over the original controller.

KW - nonlinear generalised minimum variance control

KW - Kalman filter

KW - nonlinear tank model

UR - https://css.paperplaza.net/conferences/scripts/abstract.pl?ConfID=44&Number=620

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6297579

U2 - 10.1109/ACC.2012.6314886

DO - 10.1109/ACC.2012.6314886

M3 - Conference contribution book

SN - 9781457710957

SP - 6721

EP - 6726

BT - American Control Conference (ACC), 2012

PB - IEEE

CY - New York

T2 - American Control Conference 2012

Y2 - 27 June 2012 through 29 June 2012

ER -

Robust nonlinear generalised minimum variance control

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Nonlinear High Performance Real Time Control

Cite this

Robust nonlinear generalised minimum variance control

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Nonlinear High Performance Real Time Control

Cite this