燃气锅炉燃烧系统的模糊神经网络控制  

Fuzzy Neural Network Control of Gas Boiler Combustion System

作　　者：王富强[1] 朱凌云[1] 马海芳[1] 

机构地区：[1]东华大学信息科学与技术学院,上海201620

出　　处：《仪表技术》2010年第8期25-26,29,共3页Instrumentation Technology

摘　　要：文章采用双模糊神经网络调节的PID算法,对锅炉的燃烧系统进行了离线模拟计算和在线实时控制。首先对燃烧系统进行离线计算,把运算的最优结果作为在线实时控制的输入,接着运用实时在线控制算法调节锅炉燃烧系统的输出参数,达到理想的输出结果。此算法与常规的PID算法及其模糊PID算法相比较,能提高燃烧效率,节约能源,具备良好的稳定性、鲁棒性和抗干扰性。In this paper, the PID algorithm for regulating a pair of fuzzy neural network is used to perform off-line simulation and real time control on the boiler combustion system. First, the combustion system is calculated off-line and the optimal operation results are as the real time control input. Then the control system achieves the desired output through adjusting the output parameters of boiler combustion system using real-time online control algorithm. This algorithm, compared with the conventional PID algorithm and fuzzy PID algorithm, improves combustion efficiency and saves energy. It has good stability, robustness and anti-jamming.

关 键 词：燃气锅炉 模糊神经网络 燃烧率 蒸汽压力 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]