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

机译:基于模糊神经网络的锅炉水位控制优化与仿真

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[Objective] To adjust the parameter PID of boiler water level control. Analysis of the problems existing in the Marine boiler water level control.[Method] Using fuzzy neural network, Fuzzy neural network is the combination of neural network and fuzzy logic. the traditional PID control and fuzzy neural network control modeling, simulation comparison.[Result] The results show that the fuzzy neural network control convergence is good, the method is effective. [Conclusion] The conclusion is of reference significance to improve boiler water level control.
机译:[目的]调整锅炉水位控制的参数PID。 海洋锅炉水位控制存在的问题分析。[方法]采用模糊神经网络,模糊神经网络是神经网络与模糊逻辑的组合。 传统的PID控制和模糊神经网络控制建模,仿真比较。[结果]结果表明,模糊神经网络控制收敛性好,方法是有效的。 [结论]结论是提高锅炉水位控制的参考意义。

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