Dynamic parameter estimation based on spectral analysis and its application in mechanic-electric systems

Abstract

A dynamic parameter estimation method with a two step algorithm has been developed based on spectral analysis. The spectral density function is first obtained from input-output signals of a system, then the dynamic parameters can be estimated from frequency response data. Some parameter estimation algorithms are derived by minimizing a unified loss function with different weight selections. Some excellent application results have been achieved in the measurement, simulation, compensation and control of sensors, actuators and precision machineries.<>