基于无迹卡尔曼滤波的非线性解耦方法在火电机组中的应用研究

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Abstract In view of the strong coupling, strong nonlinearity and parameter uncertainty of thermal power units, it is difficult to use conventional control methods to effectively control them. This article first analyzes the influence of the system's nonlinear strength and the system's model parameter uncertainty on the system. On the basis of in-depth understanding of the dynamic characteristics of the system, the system parameters are estimated by the unscented Kalman filter (UKF) method. The above system is controlled by global linearized control (GLC) strategy. The simulation results show that the UKF method can quickly and effectively estimate the uncertain parameters of this model. In this paper, compared with the feedback linearization control method, the GLC control method could improve the control performance of the system. This model has strong robustness and could provide technical support and theoretical guidance for actual production.

Key words： thermal power unit nonlinear decoupling control global linearized control (GLC) parameter estimation unscented Kalman filter (UKF)

Received: 03 November 2020

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	Articles by authors
	WANG Yonggang
	SUN Yumiao
	ZHANG Nannan
	XIAO Ruimin
	ZHANG Mingjian

Cite this article:

WANG Yonggang,SUN Yumiao,ZHANG Nannan等. Application of nonlinear decoupling method based on unscented Kalman filter in thermal power units[J]. Electrical Engineering, 2021, 22(8): 15-24.

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http://dqjs.cesmedia.cn/EN/Y2021/V22/I8/15

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