Skip to Main Content
 

Global Search Box

 
 
 
 

ETD Abstract Container

Abstract Header

Control Optimization of Turboshaft Engines for a Turbo-electric Distributed Propulsion Aircraft

Ramunno, Michael Angelo

Abstract Details

2020, Master of Science, Ohio State University, Mechanical Engineering.
The emissions resulting from fossil fuel consumption across various industries has lead to detrimental effects on the planet’s ecosystems. The commercial aircraft industry is attempting to reduce their emissions with the use of more fuel efficient propulsive architectures. The electrification of propulsive systems are considered to be a promising advancement for future aircraft. The architecture under investigation in this study is a turboelectric distributed propulsion system for a regional aircraft that assumes weight, drag, and design improvements that as consistent with a system being deployed in 2035. This system has the ability for hybridization via an onboard energy storage system, comprising of a battery pack, to further reduce the fuel consumption of this advanced architecture. A quasi-static model was developed with the primary objective of predicting the performance of the propulsion system over the course of a mission. Empirical equations, performance maps, and experimental data was used to calibrate the subsystems of this model. In order to expand the fuel reduction potential of the turboshaft engines, a variable speed free power turbine and a variable area nozzle were added to the engines as additional controls to the engine’s primary throttle. The optimal control strategy of the turbine’s speed and nozzle throat area that minimized the mission fuel consumption was determined and the associated fuel savings have concluded. The results of this study were compared to the same system where the two parameters were held constant at their design values. This analysis was completed for the hybrid and non-hybrid system to determine the optimal control strategy of the engine with and without a secondary source of power and to determine the variation of the control if a secondary source is present. It was concluded that the optimal engine control strategy can obtain a maximum savings of 1.55% over the same system neglecting the two additional controls.
Meyer Benzakein, Prof (Advisor)
Marcello Canova, Prof (Committee Member)
114 p.

Recommended Citations

Citations

  • Ramunno, M. A. (2020). Control Optimization of Turboshaft Engines for a Turbo-electric Distributed Propulsion Aircraft [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587657623577243

    APA Style (7th edition)

  • Ramunno, Michael. Control Optimization of Turboshaft Engines for a Turbo-electric Distributed Propulsion Aircraft. 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1587657623577243.

    MLA Style (8th edition)

  • Ramunno, Michael. "Control Optimization of Turboshaft Engines for a Turbo-electric Distributed Propulsion Aircraft." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587657623577243

    Chicago Manual of Style (17th edition)