Embedded electrical grids are comprised of multiple interconnected power converters, and have been recently adopted widely into applications such as micro-grids, electrical ships and More Electric Aircraft (MEA). Key aims of MEA research include reducing the overall size and weight of the electrical system without compromise to performance. H2 control optimization have been gaining large attention in the development of controllers for such systems. In this paper, a comparative review between decentralised optimal H2 controllers, and more traditional PI control method for a three-phase embedded grid in MEA shall be undertaken. The comparison involves investigating the tuning process, the implementation, the performance and the capability of reducing the overall size and weight of the system. H2 controls are being designed with full knowledge of the system dynamics and interactions, and is expected in theory to deliver greater capability to meet MEA core research objectives, in contrast to traditional PI methods. © 2018 IEEE.
Performance Analysis of H- 2 Optimally Controlled Three-Phase Grids
Zanchetta P.
;
2018-01-01
Abstract
Embedded electrical grids are comprised of multiple interconnected power converters, and have been recently adopted widely into applications such as micro-grids, electrical ships and More Electric Aircraft (MEA). Key aims of MEA research include reducing the overall size and weight of the electrical system without compromise to performance. H2 control optimization have been gaining large attention in the development of controllers for such systems. In this paper, a comparative review between decentralised optimal H2 controllers, and more traditional PI control method for a three-phase embedded grid in MEA shall be undertaken. The comparison involves investigating the tuning process, the implementation, the performance and the capability of reducing the overall size and weight of the system. H2 controls are being designed with full knowledge of the system dynamics and interactions, and is expected in theory to deliver greater capability to meet MEA core research objectives, in contrast to traditional PI methods. © 2018 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
