【作者】 王慧；

【导师】 于希宁；

【作者基本信息】 华北电力大学（河北） ， 控制理论与控制工程， 2003， 硕士

【摘要】 循环流化床锅炉燃烧系统是一个分布参数、非线性、时变、多变量耦合紧密的控制对象,难以建立循环流化床锅炉燃烧控制系统的精确数学模型。本文针对循环流化床燃烧控制系统分别设计了基于T-S 模型的模糊PID 控制器和基于模糊粗调及模糊细调原则的模糊自整定PID 控制器,并进行了计算机仿真。从控制效果来看,达到了令人满意的效果,基于T-S 模型的模糊控制和模糊自整定PID 控制无论是在控制的快速性、稳定性、适应性、鲁棒性还是抗内扰能力上均比常规的PID 控制要好得多。更多还原

【Abstract】 Circulating fluidized bed boiler control strategies based on classical control theory or modern control theory all need exact mathematical models of controlled objects. It is very difficult to establish the exact mathematical models of controlled objects because the combustion system of circulating fluidized bed boiler is an object that has many features: distributed parameters, nonlinear, time-varying and a lot of tightly coupled variables. To the combustion control system of circulating fluidized bed boiler this text designs two types fuzzy-PID controllers: the self-tuning parameter fuzzy-PID controller and the fuzzy-PID the controller according to the model of T-S. And we carry out simulation research to the combustion control system of circulating fluidized bed boiler.The results indicate that the control quality, the speediness, the robustness and the ability of anti-disturbance of fuzzy neural network control system are all superior to the general PID control system.更多还原