Comparison study of genetic algorithms in feedback controller design

摘要

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.