Document Type : Reseach Article

Authors

1 University of Mohaghegh Ardabil

2 Boston Scientific Corp

10.30486/mjee.2024.2005561.1346

Abstract

Jet engines consume a lot of power at start time which makes necessary to use a ground power supply unit (GPU). The GPU must provide the aircraft's demanded power at the start point only. One of the most important factors in supplying the required power for jet engines is to provide the necessary quality for the transmission of electricity to the aircraft. There are a lot of standards to check the quality of the starter among them MIL-STD-704 military standard is one of the most frequently used ones. This standard governs two principles of the power quality and transmitted power to flying vehicle. A GPU system is designed and implemented in this paper to meet the requirements of MIL-STD-704.

This paper proposes a new approach to implement a starter system for turbo-shaft engines. Transformer tap changer mechanism is used to voltage control and parameters of transformer are also optimized using Maxwell software to reduce losses. The power quality value is achieved based on an adaptive smart filtering system implemented at the output terminal of the starter system. This smart filter is designed to be controlled based on SVM machine learning scheme. Experimental results are provided to illustrate the successful and high-quality supply of power needed to start a helicopter.

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