船舶同步发电机参数蚁群算法辨识研究  

Research on Parameter Identification of Ship Marine Synchronous Generator for Sutarated Effection Based on ACO

作　　者：刘胜[1] 刘壮栋[1] 

机构地区：[1]哈尔滨工程大学,黑龙江哈尔滨150001

出　　处：《自动化技术与应用》2011年第11期4-8,共5页Techniques of Automation and Applications

摘　　要：以考虑饱和效应的船舶同步发电机五阶综合稳定计算模型为研究对象,建立了以电流为状态变量的五阶同步发电机的状态增量方程,由于d、q轴可以直接解耦,可以对d、q轴分开进行辨识;以现代系统辨识理论为基础,提出了一种基于蚁群算法的同步发电机参数辨识优化方法,设计了参数辨识算法的详细流程,推导了辨识过程,并证明了该方法的收敛性。利用一台已知参数的船用同步发电机进行了仿真,辨识参数误差都满足了设计要求,证明了该方法的正确性。仿真计算结果表明,使用考虑饱和效应的同步发电机模型能有效地提高辨识精度。The research takes the 5th rank model of ship elcetric propulsion system marine synchronous generator as its research object, derivates the space model of Synchronous generator on current, because of the d and q axis can be direct decoupling, the identification can be carried on separately; mean while, based on modern system identification theory, proposes a method of synchronous generator parameter identification based on Ant colonyalgorithm, its astringency in theory can be proved. Finally, simulate a synchronous generator of known parameters. The parameters＇ errors are identified to meet the design requirements, it proves the correctness of the method. Simulation results show that the effect of using synchronous generator saturation model can effectively improve the recognition accuracy.

关 键 词：船用同步发电机 蚁群优化算法 参数辨识 仿真 

分 类 号：N945.14[自然科学总论—系统科学]