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Title: An investigation of pilot modelling for helicopter handling qualities analysis
Author: Baker, Helen Marie
ISNI:       0000 0004 2711 1974
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2010
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The operational role of a modern helicopter includes activities that place great demand on a pilot. Helicopter pilots are particularly highly trained yet the helicopter role can be limited by excessive demand on pilot skill due to deficiencies in the handling qualities (HQ) of the aircraft. Handling qualities must therefore be considered from initial conception of the role through to operational certification, for which the aircraft must qualify through an extensive flight test and evaluation process. Modelling and simulation of aircraft handling qualities is well established in support of design, development, test and evaluation. This combination of modelling analysis, simulation and flight test can be further supported by predictive simulation, in which a mathematical pilot model controls the aircraft through a prescribed closed-loop manoeuvre. The applicability of such a tool depends on the ability of the pilot model to replicate control characteristics representative of a human pilot. SYCOS is an example predictive simulation tool that provides "some characteristics of a human pilot" (Ref. 6) through incorporation ofthe crossover model (Ref. 7). The purpose of this research was to investigate two main elements of predictive simulation for application to helicopter HQ analysis, the modelling of the helicopter and of the pilot. The representation of the helicopter was investigated through analysis of the FLIGHTLAB Lynx simulation model using ADS-33 criteria (Ref 2). The representation of the pilot by the crossover model was investigated to detennine the range of validity and limitations of the model as an approximation to the combined pilot-vehicle system in a control task. Of particular interest was the suitability of the model to represent a pilot in control of a vehicle approximating an actual helicopter in a task that was challenging and representative of a real world scenario. System Identification was perfOlmed on piloted simulation data for a compensatory tracking task in control of linear reduced order approximations to the Lynx model. The identified crossover model parameters allowed the accuracy of the representation to be examined in tenns of the task variables of vehicle dynamics, pilot workload and pilot characteristics. The parameters identified were found to represent all pilots in control of a particular vehicle and were not affected by workload. The values correspond to published values for each response type. The quality of crossover model as an approximation to the pilot-vehicle system was quantified for the particular control situation investigated. In control of a lagged rate response type 50% of the original signal was modelled by the approximation. In control of the acceleration response type only 10% was modelled. It is therefore recommended that for use in the prediction of pilot control in a challenging disturbance rejection task the crossover model requires further development.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available