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- 저자 : Mansoor Ahsan (검색결과 1 건)
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System Identification of an Airship using Trust Region Reflective Least Squares Algorithm
Mansoor Ahsan,Mohammad Ahmad Choudhry 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3
Lighter than air vehicles present feasible solutions to several problems in aviation industry. Dynamicmodeling of airships, however, poses enhanced complexities due to the effects of buoyancy-based static lift and virtualmass and inertia. System identification is an established technique for modeling aerial vehicles, but it generallyrequires huge amount of flight data, acquired through costly sensors operating at high sampling rates. Earlier airshipidentification works have used output/filter error methods, evolution strategies and subspace identification methods;all using large sets of estimation data. In this research, the longitudinal dynamics of a 30 ft long unmanned airshiphave been modeled using very less estimation data. During airship’s flight experiment, flight data was recorded at aminimal sampling frequency of 8 Hz, using low-cost sensors. The less estimation data was compensated by iterativeestimation technique, instead of one-step estimation. The flight data was subjected to trust region reflective leastsquares algorithm that is based on a relatively new and efficient optimization method. The model estimation qualitywas quantified by residual analysis and Akaike’s criterion of final prediction error. The promising cross-validationresults show that the adopted identification approach is suitable and cost-effective for modeling of complex airshipdynamics.
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