Abstract
This paper presents actuator models for fluidic thrust vectoring and circulation control and they are used in the design of a robust controller for an unmanned air vehicle. The pitching and rolling moments for the aircraft are produced through the use of a co-flow fluidic thrust vectoring arrangement at the wing trailing edges. Experimental results for the co-flow actuators are used to derive mathematical models and their performance is compared with conventional control surfaces. For the controller design, nonlinear dynamic models are approximated by a simplified linear parameter varying (LPV) model. The polytopic nature of the controller is exploited to reformulate the LPV controller design problem into a μ-synthesis problem. The LPV controllers exhibit superior stability properties over the entire operating region, when compared to conventional gain-scheduling schemes.
Highlights
Thrust vectoring (TV) has found increasing applications in recent years on aircraft, mostly as an augmentation to conventional control surfaces
The models were used in the design of a flight control system for the longitudinal dynamics
It was shown that m synthesis can be used to design robust linear parameter varying (LPV) controllers by representing the plant in an linear fractional transformation (LFT) form
Summary
Thrust vectoring (TV) has found increasing applications in recent years on aircraft, mostly as an augmentation to conventional control surfaces (see for example [1,2,3]). Any controller designed using TV inputs should be robust to modelling uncertainties In this context, H‘ control and msynthesis offer natural means for achieving robust stability and robust performance [12, 13]. Conventional gain-scheduling approaches for H‘ controllers rely on interpolation of individual controllers over the operating region and as a result cannot guarantee stability and performance during transition. Continuous gain-scheduling, based on an LPV model of the plant, ensures smooth transition and guaranteed stability and performance over the entire-operating region. Various approaches have been proposed for linear parameter varying (LPV) controller design. The approach presented in this paper uses m synthesis for the LPV controller design, with FTV and CC as control inputs.
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