Fuzzy logic controller design for spacecraft proximity operations

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A Genetic Algorithms (GAs) based method is presented in this paper for concurrent design of rule sets and membership functions for a fuzzy logic controllers to be used in spacecraft proximity operations. The heuristic nature of fuzzy logic makes GAs a natural candidate for logic design in which both rule sets and membership functions are optimized simultaneously. The employment of GAs natural genetic operations provides a means to search in a complex system space that is difficult to described mathematically. A one-dimensional controller for spacecraft proximity operations is implemented for examination in detail. The expension of the algorithm for a 6 DOP controller is discussed.

Original languageEnglish
Pages (from-to)13-16
Number of pages4
JournalComputers and Industrial Engineering
Volume25
Issue number1-4
DOIs
Publication statusPublished - 1993 Jan 1

Fingerprint

Fuzzy logic
Spacecraft
Genetic algorithms
Membership functions
Controllers
Logic design
Large scale systems

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

Cite this

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Fuzzy logic controller design for spacecraft proximity operations. / Lai, Steven Hsin-Yi.

In: Computers and Industrial Engineering, Vol. 25, No. 1-4, 01.01.1993, p. 13-16.

Research output: Contribution to journalArticle

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