基于神经网络的汽轮机及其辅助系统控制策略优化研究
Optimization of Control Strategy of Steam Turbine and Its Auxiliary System Based on Neural Network
孙毅1
作者信息
摘要
文章针对汽轮机及其辅助系统控制策略的优化问题,提出了一种基于神经网络的研究方法.通过建立神经网络模型,实现对汽轮机运行状态的智能监测和优化控制.通过对实际案例的仿真与分析,验证了该方法的有效性和实用性.研究结果表明,基于神经网络的汽轮机控制策略优化能够提高系统的稳定性和效率,为汽轮机运行管理提供了新的技术途径.
Abstract
In this paper,a research method based on neural networks is proposed to optimize the control strategy of steam turbines and their auxiliary systems.By establishing the neural network model,the intelligent monitoring and optimal control of turbine running state are realized.The effectiveness and practicability of this method are verified by the simulation and analysis of a real case.The results show that the turbine control strategy optimization based on neural network can improve the stability and efficiency of the system,and provide a new technical approach for turbine operation management.
关键词
汽轮机/神经网络/控制策略/优化/辅助系统Key words
steam turbine/neural network/control strategy/optimization/auxiliary system引用本文复制引用
出版年
2024
NETL
NSTL
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