Pilotless flight vehicle motion control in the conditions of uncertainty
Journal Title: Механіка гіроскопічних систем - Year 2015, Vol 0, Issue 29
Abstract
The article is devoted to the problem of pilotless airplane motion parameters adaptive regulator synthesis on the basis of the identification approach. For the solution of identification task the application possibility of various observers algorithms was considered. One of them is the algorithm of a nonlinear Kalman filter. It allows to estimate simultaneously state vector and parameters of state matrix. Application of this algorithm demands presence of a separate assortment of metres for state vector derivative. Researches have shown, that for various uncertainty level of motion mathematical model of pilotless airplane it ensures too low accuracy of control, even in comparison with the proportional regulator with the constant factors, received for nominal model. The algorithm of the linear optimum observer has appeared as more effective instrument of identification in the problem of flight adaptive control. It allows to increase accuracy of control in comparison with non adaptive regulators. Thus the best outcomes turn out at use of the separate observer for model parameters and the separate observer of motion parameters vector, and also in the presence of the information on air velocity of flight. In algorithm of an adaptive control sequentially to observers the proportional feedback on state vector with variable factors was used. Factors of functional for all observers corresponded to the factors received for not adaptive linearly- quadratic optimum regulator.
Authors and Affiliations
Ольга Сергеевна Завальная,, Виталий Витальевич Бурнашев
Keywords
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