NDLI: Trim of rotorcraft multibody models using a neural-augmented model-predictive auto-pilot

Content Provider	Springer Nature Link
Author	Bottasso, Carlo L. Riviello, Luca
Copyright Year	2007
Abstract	The aeromechanical analysis of rotorcraft using comprehensive multibody vehicle models is crucially dependent on the ability to accurately compute the model trim settings. Among the various techniques proposed in the literature, the auto-pilot approach, being independent of the complexity of the model, has the potential to solve trim problems efficiently even for the highly detailed aero-servo-elastic vehicle models that are developed using modern finite-element-based multibody analysis codes. Published proportional auto-pilots show to work well in many practical instances. However, their robustness with respect to the flight condition is often poor, so that they must be accurately tuned. In this paper, an auto-pilot based on adaptive non-linear model-predictive control is proposed. The formulation uses a non-linear reference model of the rotorcraft, which is augmented with an adaptive neural element. The adaptive element identifies and corrects the mismatch between reduced and comprehensive models, thereby improving the predictive capabilities of the controller. The methodology is tested on the wind-tunnel trim of a rotor multibody model and compared to an existing implementation of a classical auto-pilot for comprehensive rotorcraft analysis applications. The proposed controller shows improved stability over the conventional approach without the need for calibration.
Starting Page	299
Ending Page	321
Page Count	23
File Format	PDF
ISSN	13845640
Journal	Multibody System Dynamics
Volume Number	18
Issue Number	3
e-ISSN	1573272X
Language	English
Publisher	Springer Netherlands
Publisher Date	2007-09-21
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Rotor trim Aeroelasticity Flight mechanics Adaptive model predictive control Automotive and Aerospace Engineering, Traffic Mechanical Engineering Electronic and Computer Engineering Optimization Vibration, Dynamical Systems, Control
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Mechanical Engineering Aerospace Engineering Modeling and Simulation Computer Science Applications

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