水轮机调节系统被控对象模型辨识  被引量:10

Model Identification of Controlled Subject for Hydro Turbine Governing System

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作  者:刘昌玉[1] 梁学磊[1] 

机构地区:[1]华中科技大学水电与数字化工程学院,湖北武汉430074

出  处:《水电能源科学》2007年第2期77-79,共3页Water Resources and Power

基  金:湖北省科技攻关计划基金资助项目(2003AA101C04)

摘  要:建立了水轮机调节系统被控对象的非线性模型,用递推最小二乘法(RLS)对被控对象进行参数辨识。仿真实验证明,该模型与被控对象模型相吻合、过程简单、效果良好、易于实现编程。基于此对控制参数进行了优化,改善了系统的动态品质。具有实用价值。For better control of the hydro turbine generating units, it is desirable to identify the model of the subject of the hydro turbine governing system before optimizing its control parameters. The nonlinear model of the hydro turbine governing system is established first. Its parameters are identified with the Recursive Least Square method (RLS). The simulation experiments demonstrate that the difference between the identified model and the real one is rather small. The method is simple, effective and easy to implement. The optimization of the control parameters can be further made based on the identified model to improve the dynamic performance. Therefore it is valuable and practical.

关 键 词:水轮机调节系统 水轮发电机组 辨识 递推最小二乘法 调速器 

分 类 号:TV734.4[水利工程—水利水电工程]

 

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