Measurement errors determination using identification techniques

Identification of measurement errors applied to UAV Cularis flight-test data is presented. Data preparation for identification process is considered as it often decides of the successful identification. The problem of data synchronization is solved on the signal processing level by introducing interpolation procedure before applying identification algorithm. The identification method based on quazi-linearization optimization technique together with relaxation strategy is implemented in Matlab environment in order to pursue simulation tests. The nonlinear airplane equations of motion are formulated in body –axis and only kinematic quantities are exploited. The preliminary simulation test results indicates successful identification of measurement errors.