偏差補(bǔ)償最小二乘參數(shù)估計(jì)方法研究
[Abstract]:Under the background of complex mechanical system dynamic modeling and design, supported by National Natural Science Foundation project "Direct Identification of Parameter Model of continuous nonlinear dynamic system by Wavelet Modulation" (project number: 50875028), The least square parameter estimation method of deviation compensation is proposed as the research content. The main contents are as follows: (1) the basic principle of the modulation function method and the properties and characteristics of the four modulation functions are introduced. According to its principle, a continuous system identification model based on modulation function method is established. (2) A deviation compensated least square algorithm is introduced. The identification principle and recursive process of this method in discrete systems are studied. The method is applied to the parameter identification of discrete system with colored noise interference, and the validity of the algorithm is verified. (3) the equivalent model of continuous system with Hermite modulation function method is established. The principle of deviation compensation in discrete model identification is applied to linear continuous system model identification. The linear continuous system with colored noise is taken as an example. It is proved that the deviation compensated least square method based on modulation function method has better noise suppression effect on identifying the parameters of linear continuous system model. (4) the proposed method is applied to the hydraulic AGC pressure closed loop of a cold rolling mill. 2 / 2 / 2 / 2 dynamic parameter model identification of the system, Compared with the test results, the practicability of the proposed method is verified. The results show that both discrete model identification and continuous model identification have good anti-interference ability and wide applicability.
【學(xué)位授予單位】:長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2011
【分類(lèi)號(hào)】:TH113
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