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3 Zeszyty Naukowe Politechniki Świętokrzyskiej. Mechanika

3 2004

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Sintez nejrokontrollera dlja korrektirovki dinamiczeskich svojstv DPLA

Brusov V., Tjumencev J., Jakovenko A.

Zeszyty Naukowe Politechniki Świętokrzyskiej. Mechanika

2004

Z. 80

55-62

Artificial neural network (ANN) capabilities are analyzed for some problems associated with UAV motion control. A synthesis of adjust controller is carried out to minimize a difference between behavior of the controlled system (control object + adjust controller) and a reference model. An approach offered is tested computationally by solving of longitudinal short-period UAV motion control problem. Results obtained demonstrate high efficiency of the approach.

Nejrosetevoe predstavlenie modelej dviżenjja v zadacze korrektirovki dinamiczeskich svojstv DPLA

Brusov V., Tjumencev J., Morozov N.

Zeszyty Naukowe Politechniki Świętokrzyskiej. Mechanika

2004

Z. 80

41-48

Artificial neural network (ANN) capabilities are analyzed for some problems associated with UAV motion control. A compact and effective representation is built for nonlinear UAV motion model using ANN. The representation is used to adjust dynamical properties for UAV considered as control object. Desired UAV properties are described by means of nonlinear reference model. An approach offered is tested computationally by solving of longitudinal short-period UAV motion control problem.

Korrektirovka dinamiceskich svojstv DPLA sredstvami intellektualnoj sistemy upravlenija

Brusov V., Tjumencev J.

Zeszyty Naukowe Politechniki Świętokrzyskiej. Mechanika

2004

Z. 80

33-39

A problem of dynamical properties improvement for an UAV is considered. This problem is suggested to solve by means of intelligent control tools, in particular, with tools based on artificial neural networks. An approach is offered to evaluate UAV dynamical properties by using a reference model described some desired behavior for the UAV. A controller structure is built to force UAV motion lead to the behavior prescribed.