Rotational Speed Control of a Helicopter Diesel Engine Using an Adaptive Algorithm with a Single Controller
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Magryta Paweł |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 768 - 773 |
| Efekt badań statutowych | NIE |
| Finansowanie: | The article is financed with the 11/EFD/2024/F - Competition "Ego faciam tibi scientiam doctores" as part of the strategy “Lublin University of Technology - Excellent Science". |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 13th International Workshop on Metrology for AeroSpace |
| Skrócona nazwa konferencji: | 13th MetroAeroSpace 2025 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 1 lipca 2026 do 3 lipca 2026 |
| Miasto konferencji: | Madrid |
| Państwo konferencji: | HISZPANIA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The integration of compression-ignition (diesel) engines into helicopter propulsion systems offers significant advantages in thermodynamic efficiency and reduced specific fuel consumption compared to conventional turboshaft engines. However, maintaining precise rotational speed control under the highly dynamic aerodynamic loads characteristic of rotorcraft operations remains a critical technical challenge. This study evaluates the efficacy of an adaptive single-controller strategy designed to regulate the crankshaft speed of a diesel engine subjected to variable load conditions representative of atmospheric disturbances. The research methodology combined Computational Fluid Dynamics (CFD) and laboratory-based experimental validation. CFD simulations were first employed to quantify the impact of a 25 m/s lateral wind gust on a light- class helicopter in steady forward flight, revealing a 5.298% fluctuation in rotor power demand. These conditions were emulated on a dedicated test stand featuring an Andoria ADCR turbocharged diesel engine coupled to an eddy-current dynamometer. A real-time adaptive control system, developed in the LabVIEW environment, was implemented to adjust the accelerator pedal position in response to stepwise load changes. The experimental campaign investigated the influence of the dimensionless adaptation β coefficient, ranging from 0.5 to 0.99, on the quality of speed regulation at a target set point of 2000 rpm. Results indicate a non-linear relationship between the adaptation parameter and control precision. The highest control stability and accuracy were achieved at β = 0.95, yielding a minimum average speed error eav of 7.89. In contrast, reducing the coefficient to β = 0.70 led to aggressive control responses, sustained oscillations, and a significantly higher average error of 18.24. The findings confirm that high β values are essential for maintaining system stability and effectively damping the impact of sudden load disturbances. The proposed adaptive approach demonstrates a robust capacity for engine-to-rotor speed coupling, providing a viable alternative to fixed- parameter control schemes for future diesel-powered rotorcraft applications. |
