【摘要】 电厂热工过程与其它工业过程在特征方面具有本质意义的不同,热工过程中的动力装置和内部过程具有复杂性的特点,使得火电热过程通常具有非线性、不确定性、信息不充分性的特征,传统控制方法无法达到理想的控制效果,控制稳定性较差。提出一种基于T-S模型的热工信号无关干扰下的火电热控制稳定性分析方法,采用自适应滤波器的最小均方误差算法对热工信号无关干扰进行过滤,获取期望热工信号。分析T-S模型的基本思想,依据T-S模糊模型设计火电热模糊控制器。依据Ly-apunov理论实现火电热控制稳定性的分析。实验结果表明,采用所提方法的火电热控制稳定性较高,所需时间较短。更多还原

【Abstract】 Power plant thermal process and other industrial processes has essential meaning in terms of characteristics of different, in the process of thermal power plant and internal process has the characteristics of complexity, fire electric heating process usually have characteristics of nonlinearity,uncertainty, information is not sufficient, the traditional control methods can’t achieve ideal control effect, poor control stability. In this paper, a thermal signal based on t-s model is under the interference of electric fire control stability analysis method, using the minimum mean square error of the adaptive filter algorithm has nothing to do the thermal signal interference filter, and access to expect the thermal signal. Analysis, the basic idea of t-s model based on t-s fuzzy model fire heating fuzzy controller is designed. Based on the Lyapunov stability theory to realize electric fire control analysis. The experimental results show that the proposed method of electric fire control stability is high, short time required.更多还原