Identifying pilot model parameters for an initial handling qualities assessment

Cameron, Neil (2002) Identifying pilot model parameters for an initial handling qualities assessment. PhD thesis, University of Glasgow.

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Abstract


It is desirable to make an assessment of likely handling qualities to identify any deficiencies in a helicopter control system at an early stage in the design process before an expensive and potentially dangerous prototype is constructed. Inverse simulation offers a modelling technique that can be used for generating the data needed for such an assessment. Inverse simulation differs from conventional forward simulation in that the vehicle flight path is the input and the state and control time histories required for the task are generated. The inverse algorithm however, does not account for the pilot contribution to the flight data, thus the work herein demonstrates a method whereby this can be achieved.

To incorporate pilot effect into the Helinv generated data, the latter is applied as the command signal to the Man-Machine Control System (MMCS), which is a closed loop system encompassing the helicopter vehicle dynamics and a model of the pilot known as the Precision Pilot Model (PPM). The PPM Human Equalisation Characteristics (REC) are determined via a constrained optimisation technique and the pilot effect is added in the system output. Validation of this technique is achieved through a case study whereby several operators, with different levels of experience, pilot a reduced order Puma helicopter model through a predefined mission task in a flight simulator constructed during the project. The equalisation characteristics are then determined for each pilot and compared with those generated using Helinv. A handling qualities assessment is presented for both sets of results and conclusions concerning the validity of Helinv with additional pilot effect finally drawn.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Subjects: Q Science > Q Science (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Colleges/Schools: College of Science and Engineering > School of Engineering > Aerospace Sciences
Funder's Name: UNSPECIFIED
Supervisor's Name: Thomson, Dr. Douglas and Murray-Smith, Prof. David
Date of Award: 2002
Depositing User: Ms Mary Anne Meyering
Unique ID: glathesis:2002-4824
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 13 Jan 2014 14:17
Last Modified: 13 Jan 2014 14:19
URI: http://theses.gla.ac.uk/id/eprint/4824

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