Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system

Niu Pei-Feng; Zhang Jun; Guan Xin-Ping

doi:10.7498/aps.56.3759

Abstract
The proportional-integral-derivative (PID) control algorithm with two degrees of freedom are easy and useful. But when they are applied to nonlinear systems, the parameters are difficult to tune. Using improved genetic algorithm to optimize parameters of PID controller with two degrees of freedom, the convergence rate of parameter optimization is rapid and accurate. When applied to Chen's chaotic system and synchronous motor chaotic system, good results are obtained in simulation experiments.

Keywords:
chaotic system /

genetic algorithm /

proportional-integral-derivative control
Authors and contacts
Niu Pei-Feng,

Zhang Jun,

Guan Xin-Ping

1.
燕山大学电气工程学院，秦皇岛 066004
References

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Vol. 56, Issue 7 - 2007-04-05

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Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system

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Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system

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