BMI based robust optimal control synthesis via sensitivity minimization

Punit J. Tulpule; Atul G. Kelkar

doi:10.1115/DSCC2013-3821

BMI based robust optimal control synthesis via sensitivity minimization

Punit J. Tulpule
, Atul G. Kelkar

Watson Dean's Office

Binghamton University

Iowa State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This paper revisits the sensitivity minimization approach with new formulation and synthesis methodology. The new robust control synthesis approach is presented here with a numerical example of an application to a header height control of combine harvester machine. The proposed synthesis methodology is compared with the H_∞ control design by comparing the performance of controllers designed using both techniques. The results indicate that the proposed methodology provides a viable alternative for robust controller synthesis and can even be better in robust performance in many cases.

Original language	English
Title of host publication	Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Print)	9780791856147
DOIs	https://doi.org/10.1115/DSCC2013-3821
State	Published - 2013
Event	ASME 2013 Dynamic Systems and Control Conference, DSCC 2013 - Palo Alto, CA, United States Duration: Oct 21 2013 → Oct 23 2013

Publication series

Name	ASME 2013 Dynamic Systems and Control Conference, DSCC 2013
Volume	3

Conference

Conference	ASME 2013 Dynamic Systems and Control Conference, DSCC 2013
Country/Territory	United States
City	Palo Alto, CA
Period	10/21/13 → 10/23/13

Access to Document

10.1115/DSCC2013-3821

Cite this

Tulpule, P. J., & Kelkar, A. G. (2013). BMI based robust optimal control synthesis via sensitivity minimization. In Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; Article V003T36A002 (ASME 2013 Dynamic Systems and Control Conference, DSCC 2013; Vol. 3). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2013-3821

Tulpule, Punit J. ; Kelkar, Atul G. / BMI based robust optimal control synthesis via sensitivity minimization. Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;. American Society of Mechanical Engineers (ASME), 2013. (ASME 2013 Dynamic Systems and Control Conference, DSCC 2013).

@inproceedings{92389c4232384a3987a3b2230ac9260d,

title = "BMI based robust optimal control synthesis via sensitivity minimization",

abstract = "This paper revisits the sensitivity minimization approach with new formulation and synthesis methodology. The new robust control synthesis approach is presented here with a numerical example of an application to a header height control of combine harvester machine. The proposed synthesis methodology is compared with the H∞ control design by comparing the performance of controllers designed using both techniques. The results indicate that the proposed methodology provides a viable alternative for robust controller synthesis and can even be better in robust performance in many cases.",

author = "Tulpule, \{Punit J.\} and Kelkar, \{Atul G.\}",

year = "2013",

doi = "10.1115/DSCC2013-3821",

language = "English",

isbn = "9780791856147",

series = "ASME 2013 Dynamic Systems and Control Conference, DSCC 2013",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;",

note = "ASME 2013 Dynamic Systems and Control Conference, DSCC 2013 ; Conference date: 21-10-2013 Through 23-10-2013",

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Tulpule, PJ & Kelkar, AG 2013, BMI based robust optimal control synthesis via sensitivity minimization. in Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;., V003T36A002, ASME 2013 Dynamic Systems and Control Conference, DSCC 2013, vol. 3, American Society of Mechanical Engineers (ASME), ASME 2013 Dynamic Systems and Control Conference, DSCC 2013, Palo Alto, CA, United States, 10/21/13. https://doi.org/10.1115/DSCC2013-3821

BMI based robust optimal control synthesis via sensitivity minimization. / Tulpule, Punit J.; Kelkar, Atul G.
Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;. American Society of Mechanical Engineers (ASME), 2013. V003T36A002 (ASME 2013 Dynamic Systems and Control Conference, DSCC 2013; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - BMI based robust optimal control synthesis via sensitivity minimization

AU - Tulpule, Punit J.

AU - Kelkar, Atul G.

PY - 2013

Y1 - 2013

N2 - This paper revisits the sensitivity minimization approach with new formulation and synthesis methodology. The new robust control synthesis approach is presented here with a numerical example of an application to a header height control of combine harvester machine. The proposed synthesis methodology is compared with the H∞ control design by comparing the performance of controllers designed using both techniques. The results indicate that the proposed methodology provides a viable alternative for robust controller synthesis and can even be better in robust performance in many cases.

AB - This paper revisits the sensitivity minimization approach with new formulation and synthesis methodology. The new robust control synthesis approach is presented here with a numerical example of an application to a header height control of combine harvester machine. The proposed synthesis methodology is compared with the H∞ control design by comparing the performance of controllers designed using both techniques. The results indicate that the proposed methodology provides a viable alternative for robust controller synthesis and can even be better in robust performance in many cases.

UR - https://www.scopus.com/pages/publications/84902363129

U2 - 10.1115/DSCC2013-3821

DO - 10.1115/DSCC2013-3821

M3 - Conference contribution

SN - 9780791856147

T3 - ASME 2013 Dynamic Systems and Control Conference, DSCC 2013

BT - Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2013 Dynamic Systems and Control Conference, DSCC 2013

Y2 - 21 October 2013 through 23 October 2013

ER -

Tulpule PJ, Kelkar AG. BMI based robust optimal control synthesis via sensitivity minimization. In Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;. American Society of Mechanical Engineers (ASME). 2013. V003T36A002. (ASME 2013 Dynamic Systems and Control Conference, DSCC 2013). doi: 10.1115/DSCC2013-3821

BMI based robust optimal control synthesis via sensitivity minimization

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