Study of Genetic Algorithms on Optimizing PI Parameters in Prime Mover Simulation System

Lixin Tan, Juemin Liu


This paper proposes using the genetic algorithms to optimize the PI regulator parameter in the prime mover simulation system. In this paper, we compared the step response characteristics under the conditions of the genetic algorithms and traditional method by MATLAB simulation and field test tested the dynamic characteristics of the prime mover simulation system. The results proved that genetic algorithms can optimize PI parameters quickly .With this method the prime mover simulation system can meet the requirements of dynamic performance simulation.

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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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