摘要
采用递推最小二乘法(RLS)进行汽轮机数字电液调节系统的参数辨识,通过双线性变换法将连续模型转化为离散模型,推导了电液转换器和油动机环节的辨识模型.为剔除辨识数据中环节通带外信号的不利影响,采用Butterworth低通滤波器进行滤波处理,根据环节对象的预计通带,设计低通滤波器的通带截止频率和阻带截止频率,有效提高了参数的辨识精度.以某300 MW机组数字电液(DEH)调节系统为研究对象,应用传递函数法建立DEH模型结构图,经该机组负荷扰动实测试验数据的计算验证表明,递推最小二乘法具有辨识速度快、建模效率高特点,适合于复杂的现场对象参数辨识.
The recursive least square （RLS） method was employed to identify the parameter. The discrete model was established by employing the dual linear transformation, and the identification models of electric-hydraulic converter and servomotor module were derived. Butterworth low-pass filter was applied to avoid the disadvantage of off-band signal and improve the identification precision. The cut-off frequency of Butterworth low-pass filter was designed according to the forecasting band of the object segment. The transfer function method was used to establish the model of digital electric-hydraulic （DEH） governing system of a 300 MW unit. The disturbed test data of the unit show that the RLS method has a high speed and it is efficient for parameter identification of complicated objects.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2008年第10期1761-1764,共4页
Journal of Zhejiang University：Engineering Science
基金
浙江省教育厅资助项目
关键词
递推最小二乘法
参数辨识
数字电液
调节系统
recursive least square method
parameter identification
digital electric-hydraulic （DEH）
governing system
