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

Yan Chen, Junmin Wang

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

17 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
Pages5300-5305
Number of pages6
StatePublished - 2011
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: Jun 29 2011Jul 1 2011

Publication series

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

Other

Other2011 American Control Conference, ACC 2011
CountryUnited States
CitySan Francisco, CA
Period6/29/117/1/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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