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。
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.
出处
《今日自动化》
2024年第3期7-9,共3页
Automation Today
关键词
汽轮机
神经网络
控制策略
优化
辅助系统
steam turbine
neural network
control strategy
optimization
auxiliary system
