Numerical Optimization-Based Extremum Seeking Control With Application to ABS Design

Author

Zhang, Chunlei ; Ordonez, Raul

Author_Institution

Appl. Mater., Etch Eng. Technol., Sunnyvale, CA

Volume

52

Issue

3

fYear

2007

fDate

3/1/2007 12:00:00 AM

Firstpage

454

Lastpage

467

Abstract

Extremum seeking control (ESC) schemes based on numerical optimization are proposed in this paper. The extremum seeking problem is treated as an optimization with dynamic system constraints. The numerical optimization-based extremum seeking control scheme is first applied to linear time-invariant (LTI) systems, then it is extended to a class of feedback linearizable systems. The convergence of the ESC scheme is guaranteed by the numerical optimization algorithm and state regulation. The robustness of line search methods and trust region methods is studied, which provides further flexibility for the design of robust extremum seeking controller. Simulation study of antilock braking systems (ABS) design via extremum seeking control is addressed

Keywords

braking; feedback; linear systems; linearisation techniques; optimal control; road traffic; time-varying systems; antilock braking system; dynamic system constraints; feedback linearizable system; line search method; linear time-invariant system; numerical optimization; robust extremum seeking control; state regulation; Automatic control; Constraint optimization; Control systems; Convergence of numerical methods; Design optimization; Friction; Linear feedback control systems; Robust control; Sliding mode control; Tuning; Antilock braking systems (ABS); extremum seeking; numerical optimization; state regulation;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/TAC.2007.892389

Filename

4132905