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Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft (2022)
Journal Article

Due to the substantial increase of the number of electrically-driven systems on-board More Electric Aircraft (MEA), the on-board Electric Power Systems (EPS) are becoming more and more complex. Therefore, there is a need to develop a control strategy... Read More about Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft.

ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration (2021)
Journal Article

A centralised smart supervisor (CSS) controller with enhanced electrical energy management (E2-EM) capability has been developed for an Iron Bird Electrical Power Generation and Distribution System (EPGDS) within the Clean Sky 2 ENhanced electrical e... Read More about ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration.

Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA (2020)
Conference Proceeding

This paper presents a Neural Network (NN)-based weighting factor (WF) selection method for the multi-objective cost function in Model Predictive Control (MPC). MPC is adopted for scheduling the loads and charging/discharging the battery intelligently... Read More about Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA.

Design of more electric aircraft dc power distribution architectures considering reliability performance (2019)
Conference Proceeding

© 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. The More Electric Aircraft (MEA) concept has started to define the future of aircraft electrification. The electrical system will certainly play a crucial rol... Read More about Design of more electric aircraft dc power distribution architectures considering reliability performance.

Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach (2018)
Journal Article

As airport resources are stretched to meet increasing demand for services, effective use of ground infrastructure is increasingly critical for ensuring operational efficiency. Work in operations research has produced algorithms providing airport towe... Read More about Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach.

A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems (2017)
Journal Article

Understanding the relationships between objectives in a multiobjective optimisation problem is important for developing tailored and efficient solving techniques. In particular, when tackling combinatorial optimisation problems with many objectives t... Read More about A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems.

Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations (2017)
Conference Proceeding

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunit... Read More about Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations.

Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach (2016)
Journal Article

Based on the multi-objective optimal speed profile generation framework for unimpeded taxiing aircraft presented in the precursor paper, this paper deals with how to seamlessly integrate such optimal speed profiles into a holistic decision making fra... Read More about Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach.

An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget (2016)
Conference Proceeding

Determining the best initial parameter values for an algorithm, called parameter tuning, is crucial to obtaining better algorithm performance; however, it is often a time-consuming task and needs to be performed under a restricted computational budge... Read More about An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget.