Hybrid modulated model predictive control for the more electric aircraft generator system

Seang Shen Yeoh, Tao Yang, Luca Tarisciotti, Serhiy Bozhko, Pericle Zanchetta

Resultado de la investigación: Conference contribution

5 Citas (Scopus)

Resumen

The More Electric Aircraft (MEA) has been identified to be a major trend for future aircrafts. One of the key improvements introduced in MEA is its electrical power generation system. The generator system studied in this paper comprises of a permanent magnet machine and an active front-end rectifier. Rather than just using PI controllers to control the generation system, Model Predictive Control (MPC) is considered due to its ability to achieve fast dynamic performance and multivariable control. A variant of MPC called Modulated Model Predictive Control (MPC with intrinsic modulator) was recently introduced that showed significantly better performance than the standard MPC method. This paper presents a control scheme that utilizes Modulated Model Predictive Control for the current inner loop and PI controllers for the outer loop. The proposed control is compared with a full cascaded PI control scheme. Simulation tests are carried out to compare the two control methods and the results are presented and analysed.

Idioma originalEnglish
Título de la publicación alojada2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
EditorialIEEE Computer Society
ISBN (versión digital)9781479974009
DOI
EstadoPublished - 4 may 2015
EventoInternational Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 - Aachen, Germany
Duración: 3 mar 20155 mar 2015

Serie de la publicación

NombreElectrical Systems for Aircraft, Railway and Ship Propulsion, ESARS
Volumen2015-May
ISSN (versión impresa)2165-9400
ISSN (versión digital)2165-9427

Conference

ConferenceInternational Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
PaísGermany
CiudadAachen
Período3/03/155/03/15

Huella dactilar

Model predictive control
Aircraft
Controllers
Modulators
Permanent magnets
Power generation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Mechanics of Materials

Citar esto

Yeoh, S. S., Yang, T., Tarisciotti, L., Bozhko, S., & Zanchetta, P. (2015). Hybrid modulated model predictive control for the more electric aircraft generator system. En 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 [7101477] (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS; Vol. 2015-May). IEEE Computer Society. https://doi.org/10.1109/ESARS.2015.7101477
Yeoh, Seang Shen ; Yang, Tao ; Tarisciotti, Luca ; Bozhko, Serhiy ; Zanchetta, Pericle. / Hybrid modulated model predictive control for the more electric aircraft generator system. 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015. IEEE Computer Society, 2015. (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS).
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abstract = "The More Electric Aircraft (MEA) has been identified to be a major trend for future aircrafts. One of the key improvements introduced in MEA is its electrical power generation system. The generator system studied in this paper comprises of a permanent magnet machine and an active front-end rectifier. Rather than just using PI controllers to control the generation system, Model Predictive Control (MPC) is considered due to its ability to achieve fast dynamic performance and multivariable control. A variant of MPC called Modulated Model Predictive Control (MPC with intrinsic modulator) was recently introduced that showed significantly better performance than the standard MPC method. This paper presents a control scheme that utilizes Modulated Model Predictive Control for the current inner loop and PI controllers for the outer loop. The proposed control is compared with a full cascaded PI control scheme. Simulation tests are carried out to compare the two control methods and the results are presented and analysed.",
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Yeoh, SS, Yang, T, Tarisciotti, L, Bozhko, S & Zanchetta, P 2015, Hybrid modulated model predictive control for the more electric aircraft generator system. En 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015., 7101477, Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS, vol. 2015-May, IEEE Computer Society, International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015, Aachen, Germany, 3/03/15. https://doi.org/10.1109/ESARS.2015.7101477

Hybrid modulated model predictive control for the more electric aircraft generator system. / Yeoh, Seang Shen; Yang, Tao; Tarisciotti, Luca; Bozhko, Serhiy; Zanchetta, Pericle.

2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015. IEEE Computer Society, 2015. 7101477 (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS; Vol. 2015-May).

Resultado de la investigación: Conference contribution

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Yeoh SS, Yang T, Tarisciotti L, Bozhko S, Zanchetta P. Hybrid modulated model predictive control for the more electric aircraft generator system. En 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015. IEEE Computer Society. 2015. 7101477. (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS). https://doi.org/10.1109/ESARS.2015.7101477