燃煤锅炉水位神经元网络优化控制

基金项目:

江苏省 2 0 0 0年度国际合作基金BS2 0 0 0 730项目资助

详细信息

Optimization Control of Neuron Network for Water Level in Coal-burning Boiler

1.
Jiangsu Institute of petrochemical Technology, Changzhou 213016, China. 2.Newfoundland University of Canada

摘要: 根据大型汽包锅炉的特点 ,提出了一种燃煤锅炉水位神经元网络优化控制方法。给出了作为模型预估器的神经网络GA -BP算法流程及GA算法实现 ,提出了最优控制指标选择原则及控制指标表达式。经计算机对某电厂 2 0 0MW机组汽包锅炉的工业对象进行仿真研究表明 ,该控制方法具有良好的抗干扰能力。
- 锅炉 /
- 神经网络 /
- 液位控制
Abstract: According the characteristic of large drum boiler, the paper presents a kind of optimization control method of neuron network for water level in coal burning boiler. It gives technological process of GA BP algorithm of neuron network as model discreetor and realization of GA algorithm, and introduces selecting principle and expression of optimization index. This control method has excellent anti interference ability in artificial research with the computer for the industry project in a power plant.
- boiler /
- neuron network /
- liquid level control