A global optimization algorithm for energy-efficient control allocation of over-actuated systems

Yan Chen; Junmin Wang

A global optimization algorithm for energy-efficient control allocation of over-actuated systems

Yan Chen, Junmin Wang

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

Abstract

This paper presents a new global optimization algorithm for energy-efficient control allocation (CA) scheme, which was proposed for improving operational energy efficiency of over-actuated systems. For a class of realistic power and efficiency functions, a Karush-Kuhn-Tucker (KKT) based algorithm is proposed to find all the local optimal solutions, and consequently the global minimum through a further simple comparison among the entire realistic local minima. This KKT-based algorithm is also independent on the selections of initial conditions by transferring the standard nonlinear optimization problem into classical eigenvalue problems. Numerical examples about practical electric ground vehicles with in-wheel motors are utilized to demonstrate the effectiveness of the proposed global optimization algorithm for the energy-efficient CA problems.

Original language	English (US)
Title of host publication	Proceedings of the 2011 American Control Conference, ACC 2011
Pages	5300-5305
Number of pages	6
State	Published - 2011
Externally published	Yes
Event	2011 American Control Conference, ACC 2011 - San Francisco, CA, United States Duration: Jun 29 2011 → Jul 1 2011

Publication series

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

Other

Other	2011 American Control Conference, ACC 2011
Country/Territory	United States
City	San Francisco, CA
Period	6/29/11 → 7/1/11

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "A global optimization algorithm for energy-efficient control allocation of over-actuated systems",

abstract = "This paper presents a new global optimization algorithm for energy-efficient control allocation (CA) scheme, which was proposed for improving operational energy efficiency of over-actuated systems. For a class of realistic power and efficiency functions, a Karush-Kuhn-Tucker (KKT) based algorithm is proposed to find all the local optimal solutions, and consequently the global minimum through a further simple comparison among the entire realistic local minima. This KKT-based algorithm is also independent on the selections of initial conditions by transferring the standard nonlinear optimization problem into classical eigenvalue problems. Numerical examples about practical electric ground vehicles with in-wheel motors are utilized to demonstrate the effectiveness of the proposed global optimization algorithm for the energy-efficient CA problems.",

author = "Yan Chen and Junmin Wang",

year = "2011",

language = "English (US)",

isbn = "9781457700804",

series = "Proceedings of the American Control Conference",

pages = "5300--5305",

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note = "2011 American Control Conference, ACC 2011 ; Conference date: 29-06-2011 Through 01-07-2011",

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AU - Chen, Yan

AU - Wang, Junmin

PY - 2011

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N2 - This paper presents a new global optimization algorithm for energy-efficient control allocation (CA) scheme, which was proposed for improving operational energy efficiency of over-actuated systems. For a class of realistic power and efficiency functions, a Karush-Kuhn-Tucker (KKT) based algorithm is proposed to find all the local optimal solutions, and consequently the global minimum through a further simple comparison among the entire realistic local minima. This KKT-based algorithm is also independent on the selections of initial conditions by transferring the standard nonlinear optimization problem into classical eigenvalue problems. Numerical examples about practical electric ground vehicles with in-wheel motors are utilized to demonstrate the effectiveness of the proposed global optimization algorithm for the energy-efficient CA problems.

AB - This paper presents a new global optimization algorithm for energy-efficient control allocation (CA) scheme, which was proposed for improving operational energy efficiency of over-actuated systems. For a class of realistic power and efficiency functions, a Karush-Kuhn-Tucker (KKT) based algorithm is proposed to find all the local optimal solutions, and consequently the global minimum through a further simple comparison among the entire realistic local minima. This KKT-based algorithm is also independent on the selections of initial conditions by transferring the standard nonlinear optimization problem into classical eigenvalue problems. Numerical examples about practical electric ground vehicles with in-wheel motors are utilized to demonstrate the effectiveness of the proposed global optimization algorithm for the energy-efficient CA problems.

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AN - SCOPUS:80053164794

SN - 9781457700804

T3 - Proceedings of the American Control Conference

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BT - Proceedings of the 2011 American Control Conference, ACC 2011

T2 - 2011 American Control Conference, ACC 2011

Y2 - 29 June 2011 through 1 July 2011

ER -

A global optimization algorithm for energy-efficient control allocation of over-actuated systems

Abstract

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ASJC Scopus subject areas

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