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SkillsCast

Unmanned Aircraft System Concept Design

9th November 2015 in London at CodeNode

There are 1 other SkillsCast available from Unmanned Aircraft System Concept Design and Formations of flying cameras to film a moving target

In this meetup we will have two talk on some very interesting recent developments in flying technologies.

This presentation will give an introduction to the Multi-Objective and Multi-Disciplinary Optimisation approaches involved in the conceptual design process of Unmanned Aircraft Systems (UAS), specifically focused towards fixed wing UAS. The design of UAS requires a multi-disciplinary approach that not only considers the aircraft itself, but also other major sub-systems such as the communication systems, payload systems, propulsion system, avionics architecture, and many others. Thus, to develop a well balanced design, key system elements must have the right proportions, allocation of attributes, and satisfy the operational needs. This presentation will define a systems engineering approach, with the inclusion of multi-objective optimisation algorithms, to define a well balanced system that accounts for performance metrics which defines the ‘goodness’ of a system. In addition, the presentation will also recommend some open source tools that can be used to develop a simulation framework to calculate the performance of a given UAS architecture.

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Unmanned Aircraft System Concept Design

Amrith Surendra

I recently joined Frazer-Nash consultancy as an engineer to provide technical consultancy support, in the form of software implementations of engineering models, to clients in the defence and energy sectors. Prior to joining Frazer-Nash I completed my postgraduate research studies in the computational engineering design department, at Southampton University. The research was focused towards the development of a new decision support system that aids system designers to identify optimal design solutions. This is achieved by combining methods and algorithms developed in the fields of, multi-objective optimization, decision theory, systems engineering, and graph theory.

SkillsCast

In this meetup we will have two talk on some very interesting recent developments in flying technologies.

This presentation will give an introduction to the Multi-Objective and Multi-Disciplinary Optimisation approaches involved in the conceptual design process of Unmanned Aircraft Systems (UAS), specifically focused towards fixed wing UAS. The design of UAS requires a multi-disciplinary approach that not only considers the aircraft itself, but also other major sub-systems such as the communication systems, payload systems, propulsion system, avionics architecture, and many others. Thus, to develop a well balanced design, key system elements must have the right proportions, allocation of attributes, and satisfy the operational needs. This presentation will define a systems engineering approach, with the inclusion of multi-objective optimisation algorithms, to define a well balanced system that accounts for performance metrics which defines the ‘goodness’ of a system. In addition, the presentation will also recommend some open source tools that can be used to develop a simulation framework to calculate the performance of a given UAS architecture.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Unmanned Aircraft System Concept Design

Amrith Surendra

I recently joined Frazer-Nash consultancy as an engineer to provide technical consultancy support, in the form of software implementations of engineering models, to clients in the defence and energy sectors. Prior to joining Frazer-Nash I completed my postgraduate research studies in the computational engineering design department, at Southampton University. The research was focused towards the development of a new decision support system that aids system designers to identify optimal design solutions. This is achieved by combining methods and algorithms developed in the fields of, multi-objective optimization, decision theory, systems engineering, and graph theory.