Predictive inverse simulation of helicopters in aggressive manoeuvring flight

Bagiev, M., Thomson, D.G. , Anderson, D. and Murray-Smith, D. (2012) Predictive inverse simulation of helicopters in aggressive manoeuvring flight. Aeronautical Journal, 116(1175), pp. 87-98. (doi: 10.1017/S0001924000006631)

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A conventional inverse simulation does not accommodate control constraints; hence for aggressive manoeuvring flight conditions, where control inputs are close to the limits, these algorithms lose some of their applicability. A modification of the conventional inverse simulation technique that accommodates the onset of physical limits or constraints is proposed in this paper. In this way a process of constraints handling is incorporated into the inverse simulation algorithm. Therefore, the aim of this paper is to demonstrate that conventional inverse simulation can be improved in terms of the realism of the results by applying a predictive capability for applications involving manoeuvring flight. The paper gives details of the development of the predictive inverse simulation algorithm and helicopter model used and, by presenting examples of results calculated for pop-up and lateral realignment manoeuvres demonstrates that a ‘receding horizon’ predictive approach offers improvements in the realism of inverse simulation results.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Thomson, Dr Douglas and Bagiev, Dr Marat and Anderson, Dr David and Murray-Smith, Professor David
Authors: Bagiev, M., Thomson, D.G., Anderson, D., and Murray-Smith, D.
Subjects:T Technology > TL Motor vehicles. Aeronautics. Astronautics
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Research Group:Aerospace Sciences
Journal Name:Aeronautical Journal

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
370951Improved inverse simulation using nonlinear predictive methodsDouglas ThomsonEngineering & Physical Sciences Research Council (EPSRC)GR/S91024/01Aerospace Sciences