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Proceedings Paper

Comparison study of genetic algorithms in feedback controller design
Author(s): N.H. Benjamin Fong; Daniel G. Cole; Harry H. Robertshaw
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Paper Abstract

This paper discusses the use of genetic algorithms (GA) as a global search technique to solve a loading bridge regulator control problem. The theory, design and implementation of the algorithm is discussed in detail. An improved selection scheme and two advanced genetic operators are introduced. Three different GA-based feedback controllers are designed: Simple GA (SGA), Improved GA (IGA), and Advanced GA (AGA). Their results performance results are compared. Among the three GA approaches considered, AGA is the most robust one for the design of feedback controllers.

Paper Details

Date Published: 8 May 1995
PDF: 12 pages
Proc. SPIE 2443, Smart Structures and Materials 1995: Smart Structures and Integrated Systems, (8 May 1995); doi: 10.1117/12.208309
Show Author Affiliations
N.H. Benjamin Fong, Virginia Polytechnic Institute and State Univ. (United States)
Daniel G. Cole, Virginia Polytechnic Institute and State Univ. (United States)
Harry H. Robertshaw, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 2443:
Smart Structures and Materials 1995: Smart Structures and Integrated Systems
Inderjit Chopra, Editor(s)

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