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.

Full text available as:
[img]
Preview
PDF
Download (19MB) | Preview

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: 02 May 2018 14:32
URI: http://theses.gla.ac.uk/id/eprint/4824

Actions (login required)

View Item View Item