Rapid system model parameter identification method based on wide frequency spectrum excitation signal

Abstract

The invention provides a rapid system model parameter identification method based on a wide frequency spectrum excitation signal, and belongs to the technical field of inertial testing. Firstly, the excitation signal considering the richness of signal frequency spectrum contents is designed, and an overload generated by the excitation signal is within an allowable range by understanding a workingenvironment of inertial instrument testing equipment; and due to the fact that position information is represented by the excitation signal, a first-order derivative and a second-order derivative arecalculated to obtain speed and acceleration, a formula capable of obtaining the time of any frequency and obtaining the frequency of any time for an input signal is introduced, and according to a relation between an initial frequency and a cut-off frequency, the time of arriving at the frequency is determined, and relevant parameters are calculated. The excitation signal is novel in form and highin innovation; and the richness of the signal contents is greatly improved compared with the prior art, so that an actual working state of a system can be restored more realistically, various parameters in the system can be more comprehensively excited, and the reliability of a testing result is improved.

Description

technical field [0001] The invention relates to a method for quickly identifying system model parameters based on wide-spectrum excitation signals, and belongs to the technical field of inertial testing. Background technique [0002] The system model is a description of the essential properties of the system. The methods for establishing a system mathematical model are divided into theoretical analysis and testing. If you want to design a way to meet the performance requirements or improve the performance of the current system, you must clearly understand its dynamic characteristics. However, in actual control engineering, there are various and complex controlled objects, and it is often difficult to obtain their dynamic characteristics through theoretical analysis modeling due to their complex structure and fuzzy operating mechanism. Therefore, the combination of theoretical modeling and testing is often used in actual control engineering. Firstly, the system characteristi...

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Problems solved by technology

However, in the process of applying the excitation signal each time, its frequency domain characteristics have not been changed, and the richness of the signal capacity cannot achieve spectrum fusion through distributed excitation, so the signal content is still relatively single

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