【作者】 张华磊；

【导师】 何同祥；

【作者基本信息】 华北电力大学（河北） ， 控制理论与控制工程， 2005， 硕士

【摘要】 火电厂单元机组协调控制系统是一个多变量被控对象,具有非线性、参数时变、大迟延等特性。常规的机炉协调控制系统控制策略往往不能满足电网对单元机组协调控制系统的要求。本文在分析了协调控制对象动态特性的基础上作了单向解耦研究。基于模糊控制和神经网络理论,提出了一种基于BP 网络的参数自调整模糊控制器。针对300MW 单元机组协调控制系统,进行了大量的仿真试验。结果表明:本文采用的控制方法具有良好的的控制品质,是切实可行的控制方案。对于模糊控制和神经网络的研究,以及控制多变量系统的研究,提供了一种新思路,具有一定的理论意义和工程应用价值。更多还原

【Abstract】 The coordinated control system (CCS) for boiler-turbine unit is a complicated multi-variable control plant. It has some characters such as nonlinear, parameters time varying and large delay. The control strategy of conventional coordinated control system is far from responding to the request of the electric network. Based on the fuzzy control and neural network theory, this paper found a combing point of them and introduced a fuzzy controller of parameters of self-adjustment based on BP neural network and used it in CCS and did a great deal of simulation work. We can get the result: the control method in this paper has good control quality. The paper supplied a new thinking to research multi-variables control system and have certain theory meaning and project using value.更多还原