Outputs (7)

Investigating Electrical Drive Performance Employing Model Predictive Control and Active Disturbance Rejection Control Algorithms (2020)
Conference Proceeding

© 2020 The Institute of Electrical Engineers of Japan. Many issues can degrade the electrical drive performance such as cross-coupling, time delay, external disturbances, and parameter variation. The Synchronous Reference Frame (SRF) PI Current Contr... Read More about Investigating Electrical Drive Performance Employing Model Predictive Control and Active Disturbance Rejection Control Algorithms.

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 Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion (2020)
Conference Proceeding

This paper presents parametric design studies of the on-board Electrical Power System (EPS) for a distributed hybrid aircraft propulsion. The work presents the methodology that has been adopted to develop the physics-based models of the EPS component... Read More about Design Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion.

Machine Learning Based Correction Model in PMSM Power Loss Estimation for More-Electric Aircraft Applications (2020)
Conference Proceeding

This study utilizes the machine learning (ML) technique to estimate the power loss of surface-mounted Permanent Magnet Synchronous Motor (PMSM) for More-Electric Aircraft (MEA). Existing approaches do not consider ML methods in power loss calculation... Read More about Machine Learning Based Correction Model in PMSM Power Loss Estimation for More-Electric Aircraft Applications.

Design and Implementation of GaN-based Dual-Active-Bridge DC/DC Converters (2020)
Conference Proceeding

This paper presents the design and implementation of multicellular isolated bidirectional dual-active-bridge (DAB) DC/DC converters which are the core equipment of the European CleanSkyII Project ASPIRE. Both the primary and the secondary H-bridge ci... Read More about Design and Implementation of GaN-based Dual-Active-Bridge DC/DC Converters.

Optimal Weight Power System Design and Synthesis for More Electric Aircraft (2020)
Conference Proceeding

© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. The synthesis of a power distribution architecture for More Electric Aircraft requires weight optimization in order to reduce energy consumption. The weight of... Read More about Optimal Weight Power System Design and Synthesis for More Electric Aircraft.

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization (2020)
Conference Proceeding

The increased utilization of electrical energy in future aviation requires an efficient method to perform load flow for optimizing on-board operating conditions. Load flow models of electrical networks are complex to solve and requires iterative meth... Read More about Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization.