基于模糊神经网络的船舶锅炉水位控制优化及仿真模拟

Optimization and Simulation of Water Level Control of a Vessel Boiler Based on Fuzzy Neural Network

分析船舶锅炉水位控制存在的问题,利用模糊神经网络,也就是神经网络与模糊逻辑相结合,改善船舶锅炉水位控制,实现水位控制的智能化,详细介绍锅炉控制的神经网络创建理论及具体步骤,为了验证该控制系统更适合船舶锅炉给水控制,利用Simulink进行动态系统仿真,分析比较仿真模拟结果,基于模糊神经网络的船舶锅炉水位控制对船舶锅炉水位控制更适合船舶锅炉工况变化。

this paper analyzes the problems existing in the water level control of a boiler with the fuzzy neural network which is the combination of the neural network and the fuzzy logic to improve the water level control of a boiler and realize the intelligent water level control. The establishment theory of neural network and specific steps are introduced in detail in order to verify that the control system is more suitable for water supply control of a ship boiler, with the use of Simulink to realize dynamic system simulation, and simulation results are analyzed and compared, water level control of a ship boiler based on fuzzy neural network for boiler water level control is more suitable for the change of operating conditions of a boiler.