期刊文献+

发电机励磁与汽门系统解耦控制的神经网络逆系统方法 被引量:24

ANN-INVERSE BASED DECOUPLING CONTROL OF EXCITATION AND VALVE SYSTEM FOR TURBOGENERATOR
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摘要 在分析励磁与汽门系统可逆性的基础上为输电系统中汽轮发电机组的控制提出了一种新的解耦控制器的设计方法。在系统精确模型参数未知的情况下,神经网络逆系统可将被控系统解耦成两个SISO线性子系统;然后为了满足高性能控制的要求,针对两个不同的子系统增加两个不同的线性控制器来形成闭环控制。理论分析和仿真结果表明:该控制策略较好地解决了输电系统中汽轮发电机组控制时存在的多变量、非线性、强耦合问题;实现了系统的动态解耦控制,因此可显著增强输电系统的暂态稳定性。 A novel decoupling controller design method, named as the ANN inverse decoupling control method, is proposed in this paper based on the invertibility analysis of excitation and valve system for the turbogenerator control of the power transmission system. Without knowing the precise system model and parameters, the ANN inverse can decouple the controlled system into two SISO linear systems. After that, two different linear controllers for two different subsystem are added to form closed-loop control in order to meet the control needs of high performance. Theoretical analysis and simulation results show that this control strategy can solve the multivariable, nonlinear and strongly coupling problem in the turbogenetor control of the power transmission system, realize the dynamic decoupling control of the system, and so can considerably increase the transient stability of the power transmission system.
出处 《中国电机工程学报》 EI CSCD 北大核心 2002年第11期75-80,共6页 Proceedings of the CSEE
基金 国家自然科学基金资助项目 (59925718 60174004)。 ~
关键词 汽门系统 解耦控制 神经网络 逆系统方法 汽轮发电机 励磁系统 inverse system ANN (artificial neural network), valve control excitation control
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参考文献11

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