Characteristic model parameter identification method based on input smoothing

Abstract

The invention discloses a characteristic model parameter identification method based on input smoothing. The characteristic model parameter identification method is characterized in that a characteristic model of a controlled system object can be acquired, and an intermediate variable and an unknown coefficient variable can be built according the input and the output of the controlled system object; the unknown coefficient variable can be identified by adopting the identification algorithm to acquire an identification value, and then the identification value can be corrected by adopting the projection algorithm, and the corrected identification value can be used as the unknown coefficient variable of the next period; and at last, an intermediate control variable can be calculated according to the unknown coefficient variable, and therefore the input of the controlled system object of the next period can be acquired, and then the characteristic parameter identification of the current period can be completed. The characteristic model parameter identification method is advantageous in that the change of the control variable can be limited by adopting the smoothing design of the control input, and the rate of change of the characteristic model parameters can be further limited, and then the identification of the characteristic model parameters can be realized; and at the same time, the second-order model and the first-order model of the daily use can be covered, and therefore the good versatility and the good application prospect can be provided.

Description

technical field [0001] The invention relates to the aerospace field, in particular to an input smoothing-based feature model parameter identification method. Background technique [0002] The characteristic modeling theory is a control theory proposed by Academician Wu Hongxin in the 1980s. After more than 30 years of research, important progress has been made in theory and application, and a complete set of highly practical adaptive control theory and methods has been formed. . This method has been successfully applied in manned spacecraft reentry lift control, rendezvous and docking control, and lunar exploration return control, and the parachute opening accuracy has reached the world's advanced level. Therefore, the feature modeling theory has important application value and application prospect. In general, the characteristic model is described by low-order time-varying difference equations, but unlike model reduction, it compresses high-order and nonlinear information...

AI Technical Summary

Problems solved by technology

[0003] The technical problem solved by the present invention is to overcome the deficiencies of the prior art, provide a method to limit the change of the control quantity by smoothing the control input, and further limit the change rate of the characteristic model parameters, and solve the problem of the characteristic model parameters and For state-related problems, a feature model parameter identification method based on input smoothing is implemented for feature model parameter identification

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