Prognostic Reasoner based adaptive power management system for a more electric aircraft

Show simple item record Sebastian, Robin Kuttikkadan Perinpanayagam, Suresh Jennions, Ian K. Alghassi, Alireza 2017-01-13T12:43:04Z 2017-01-13T12:43:04Z 2016-09-05
dc.identifier.citation Sebastian RK, Peripinayagam S, Jennions IK, Alghassi A. Prognostic Reasoner based adaptive power management system for a more electric aircraft. 2016 Annual Conference of the Prognostics and Health Management Society, 2-8 October 2016, Denver, Colorado, USA en_UK
dc.description.abstract This research work presents a novel approach that addresses the concept of an adaptive power management system design and development framed in the Prognostics and Health Monitoring(PHM) perspective of an Electrical power Generation and distribution system(EPGS).PHM algorithms were developed to detect the health status of EPGS components which can accurately predict the failures and also able to calculate the Remaining Useful Life(RUL), and in many cases reconfigure for the identified system and subsystem faults. By introducing these approach on Electrical power Management system controller, we are gaining a few minutes lead time to failures with an accurate prediction horizon on critical systems and subsystems components that may introduce catastrophic secondary damages including loss of aircraft. The warning time on critical components and related system reconfiguration must permits safe return to landing as the minimum criteria and would enhance safety. A distributed architecture has been developed for the dynamic power management for electrical distribution system by which all the electrically supplied loads can be effectively controlled.A hybrid mathematical model based on the Direct-Quadrature (d-q) axis transformation of the generator have been formulated for studying various structural and parametric faults. The different failure modes were generated by injecting faults into the electrical power system using a fault injection mechanism. The data captured during these studies have been recorded to form a “Failure Database” for electrical system. A hardware in loop experimental study were carried out to validate the power management algorithm with FPGA-DSP controller. In order to meet the reliability requirements a Tri-redundant electrical power management system based on DSP and FPGA has been developed en_UK
dc.language.iso en en_UK
dc.publisher Prognostics and Health Management Society en_UK
dc.rights Attribution 3.0 International
dc.subject PHM en_UK
dc.subject EPGS en_UK
dc.subject Power Manageent en_UK
dc.subject MEA en_UK
dc.subject AEA en_UK
dc.title Prognostic Reasoner based adaptive power management system for a more electric aircraft en_UK
dc.type Conference paper en_UK

Files in this item

This item appears in the following Collection(s)

Show simple item record

Attribution 3.0 International Except where otherwise noted, this item's license is described as Attribution 3.0 International

Search CERES


My Account