Novel Parameter Identification by Using a High-Gain Observer With Application to a Gas Turbine Engine
Novel Parameter Identification by Using a High-Gain Observer With Application to a Gas Turbine Engine
复制标题
DOI：
10.1109/tii.2008.2007802
复制
发表时间：
2008-11
影响因子：
12.3
通讯作者：
Zhiwei Gao;X. Dai;T. Breikin;Hong Wang
中科院分区：
文献类型：
--
作者：
Zhiwei Gao;X. Dai;T. Breikin;Hong Wang
本文针对过程噪声和量测噪声有界的系统，提出了一种新的辨识方法，即基于高增益卷积器的辨识方法。针对系统参数的异常变化，提出了一种自适应变化检测和参数辨识算法。最后将所提出的方法和算法应用于某型燃气涡轮机发动机的参数辨识中，并利用发动机台架实测数据进行了验证。所识别的参数和响应曲线是期望的。仿真结果证明了该方法的有效性。
In this study, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented. The presented technique and algorithm are finally applied to the parameter identification of the gas turbine engine by using the recorded input data from the engine test-bed. The identified parameters and the response curves are desirable. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.