预测控制在再热汽温控制中的应用

发布时间：2018-09-16 21:01

【摘要】：火电厂再热汽温的控制具有大迟延特性,而且在不同的负荷工况下,再热汽温控制系统表现出不同的动态特性,针对该系统的特点,考虑将一种基于综合加权的多模型预测控制算法应用于该系统。首先,针对各个稳态工况建立局部线性模型,根据实际电厂再热汽温和相应的烟气挡板开度数据,应用粒子群优化方法进行模型辨识,得到典型稳态工况下的再热汽温对象模型集。其次,根据模型预测控制的原理,基于各个局部线性模型,应用模型预测控制设计出相应的预测控制器,以解决大迟延的问题。最后,根据某时刻的模型输出与实际系统输出求取各个控制器的综合加权系数,得到实际控制量,进行了仿真实验,实验结果表明:论文提出的多模型预测控制器能够适应被控对象参数变化,有效地控制再热汽温,确保了再热汽温控制系统在全工况范围内具有良好的控制品质。
[Abstract]:The control of reheat steam temperature in thermal power plant has the characteristics of large delay, and under different load conditions, the reheat steam temperature control system shows different dynamic characteristics, according to the characteristics of the system, A multi-model predictive control algorithm based on comprehensive weighting is considered in this paper. Firstly, a local linear model is established for each steady state. According to the opening data of reheat steam and flue gas baffle, particle swarm optimization (PSO) is used to identify the model. The model set of reheat steam temperature is obtained under typical steady state condition. Secondly, according to the principle of model predictive control, based on each local linear model, the model predictive control is applied to design the corresponding predictive controller to solve the problem of large delay. Finally, according to the model output at a certain time and the actual system output, the comprehensive weighting coefficient of each controller is obtained, and the actual control quantity is obtained, and the simulation experiment is carried out. The experimental results show that the multi-model predictive controller proposed in this paper can adapt to the parameter change of the controlled object, effectively control the reheat steam temperature, and ensure that the reheat steam temperature control system has good control quality in the whole working condition.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273;TM621

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