Comparison study of genetic algorithms in feedback controller design

N.H. Benjamin Fong; Daniel G. Cole; Harry H. Robertshaw

doi:10.1117/12.208309

8 May 1995 Comparison study of genetic algorithms in feedback controller design

N.H. Benjamin Fong, Daniel G. Cole, Harry H. Robertshaw

Proceedings Volume 2443, Smart Structures and Materials 1995: Smart Structures and Integrated Systems; (1995) https://doi.org/10.1117/12.208309
Event: Smart Structures and Materials '95, 1995, San Diego, CA, United States

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.

Citation Download Citation

N.H. Benjamin Fong, Daniel G. Cole, and Harry H. Robertshaw "Comparison study of genetic algorithms in feedback controller design", Proc. SPIE 2443, Smart Structures and Materials 1995: Smart Structures and Integrated Systems, (8 May 1995); https://doi.org/10.1117/12.208309

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