Robust multidisciplinary UAS design optimisation

Methods for Robust Multidisciplinary Design

Robust design has been gaining wide attention and its applications have been extended to making reliable decisions when designing complex engineering systems under a multidisciplinary design environment. Though the usefulness of robust multidisciplinary design is widely acknowledged, its implementation is rare. 1 One of the reasons is due to the complexity and computational burden associated wi...

Autonomous robust design optimisation with potential clouds

The task of autonomous and robust design cannot be regarded as a single task, but consists of two tasks that have to be accomplished concurrently. First, the design should be found autonomously; this indicates the existence of a method which is able to find the optimal design choice automatically. Second, the design should be robust; in other words, the design should be safeguarded against unce...

A Robust Design Approach for Achieving Flexibility in Multidisciplinary Design

Mission Optimisation and Multi-disciplinary Design of Hybrid Unmanned Aerial Systems (uas) Using Advanced Numerical Techniques

This paper describes the theory and practical application of Hierarchical Synchronous Parallel Multi-objective Evolutionary Algorithms (HAPMOEA) for mission optimisation of Hybrid Powered Unmanned Aerial Systems (HPUAS). A real design or simulation will have more than one objective such as minimising fuel consumption, drag and/or time to complete the mission. It is usually the case that the pro...

Robust Super-resolution for UAS Video Data

The Unmanned Aircraft Systems (UAS) have been widely applied for reconnaissance and surveillance by exploiting the information collected from the digital imaging payload. However, the analysis of real surveillance video is limited from time to time because of the constraints of imaging equipment, winds buffeting the vehicle, less than ideal atmospheric conditions, etc. As a consequence, the sup...