Infrared Technology, Volume. 42, Issue 1, 30(2020)
Parameter Identification for Miniature Stabilized Platforms Based on Infrared Imaging
This study focuses on parameter identification for miniature stabilized platforms based on infrared imaging and offers a linearization technique to reduce the nonlinear effect on modeling identification. During the identification process, a pseudorandom binary sequence is used as the modulated input signal to drive the system, and the corresponding system output is a velocity signal. In addition, the augmented least square method is applied to identify the discrete modeling parameter. Finally, the precision of the modeling is tested in two ways: parameterization and non-parameterization. The results show that parameter modeling can adequately describe the dynamic character, similar to the real system.
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GUO Xuefeng, LIN Yu. Parameter Identification for Miniature Stabilized Platforms Based on Infrared Imaging[J]. Infrared Technology, 2020, 42(1): 30