Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.718988
Title: Drive-system optimisation for a helicopter electromechanical actuation system
Author: Rottach, Michael
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2014
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Abstract:
More-electric aircraft architectures are an approach to increase the efficiency of aircraft as well as to reduce the environmental impact and operational costs. This thesis describes concepts for electromechanical actuation systems for a helicopter primary flight control application. This work has been undertaken as part of the HEMAS project within the European Clean Sky JTI. The work compares electromechanical actuator (EMA) topologies suitable for the helicopter application. Fault-tolerance in the EMA system and its subcomponents is needed to comply with stringent safety requirements. Furthermore, the optimisation of the whole EMA drive with respect to minimum weight is required to be competitive with existing hydraulic solutions. Therefore, the main focus of this thesis is the integrated weight optimisation of the EMA drive. A MatlabĀ® tool for the design and optimisation of EMA systems has been developed and models for the main actuator sub-components are presented. Special emphasis has been put on the representation of the main non-linearities in the electrical machine. Analytical sizing equations, magnetic reluctance network models and finite element methods are used to represent the electromechanical part of the machine. For the thermal behaviour, current density limitation and a combination of thermal resistances network models and simulations in commercially available thermal motor design software packages are proposed. The power converter is modelled with analytical sizing equations and an integrated weight optimisation of the power quality input filter is described. With the developed optimisation tool, segmentation strategies for fault-tolerant electrical machines are investigated. With the results from the segmentation comparison and with the optimisation tool the EMA drive of the HEMAS system is optimised towards a minimum weight. Experimental results from electrical machine prototypes and a power converter prototype are presented to validate the models used in the EMA optimisation process.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.718988  DOI: Not available
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