Extracting projectile's aerodynamic drag coefficient curve via high-order iterative learning identification

摘要

A novel application of high-order iterative learning control (ILC) method is presented, which is for identifying or extracting a projectile's optimal fitting drag coefficient curve C/sub df/ from radar measured velocity data. The ILC method is shown to be effective for such an optimal tracking control problem (OTCP) with its performance index in a minimax sense and with an arbitrarily chosen initial 'control' C/sub df/. The curve identification results from real flight test data are compared and discussed for different high-order learning parameters to show the effectiveness of the proposed method.