A numerical optimization approach for tuning fuzzy logic controllers.

This paper develops a method to tune fuzzy controllers using numerical optimization. The main attribute of this approach is that it allows fuzzy logic controllers to be tuned to achieve global performance requirements. Furthermore, this approach allows design constraints to be implemented during the tuning process. The method tunes the controller by parameterizing the membership functions for error, change-in-error, and control output. The resulting parameters form a design vector which is iteratively changed to minimize an objective function. The minimal objective function results in an optimal performance of the system. A spacecraft mounted science payload line-of-sight pointing control is used to demonstrate results.

Full Text

Duke Authors

Cited Authors

  • Woodward, SE; Garg, DP

Published Date

  • 1999

Published In

Volume / Issue

  • 29 / 4

Start / End Page

  • 565 - 569

PubMed ID

  • 18252334

International Standard Serial Number (ISSN)

  • 1083-4419

Digital Object Identifier (DOI)

  • 10.1109/3477.775276

Citation Source

  • PubMed