基于遗传算法的汽轮机非线性调节系统的参数辨识研究

Research on Parameter Identification for Nonlinear Steam Turbine Governing System Based on Genetic Algorithm

简要介绍了遗传算法应用于参数辨识的基本思想 ,并将其应用于汽轮机非线性调节系统的参数辨识。结果表明 :采用遗传算法可准确地辨识系统中死区、限幅等非线性发生部位和参数。辨识结果准确可靠 ,相对误差在 2 %以内 ;与传统的辨识方法相比 ,具有辨识精度高、收敛速度快的优点。结合计算机仿真 ,可以实现系统的性能预测、控制优化、状态监测与故障诊断。图 4表 5参

In this paper, the idea of Genetic algorithm applied for parameter identification is simply introduced and is used for parameter identification of nonlinear steam turbine governing system. The results indicated that with this parameter identification method, the classic nonlinear links such as dead zone and amplitude limit can be located and also the parameter can be accurately identified. The relative error of identified parameters is smaller than 2%. Compared to conventional parameter identification methods, it has the advantages of high precision and fast convergence. Combined with computer simulation, this method can be applied to steam turbine performance prediction, optimizing control as well as condition monitoring and fault diagnosis. Figs 4, tables 5 and refs 4.