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Research on Integrated Control Method of Tiltrotor with Variable Rotor Speed Based on Two-Speed Gearbox

  • Yong Wang , Qiangang Zheng , Haibo Zhang EMAIL logo und Zhigui Xu
Veröffentlicht/Copyright: 17. April 2018
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Abstract

The process of rotor speed variation under tiltrotor cruise state has been studied, and the integrated variable speed control method of tiltrotor based on two-speed gearbox is proposed. Firstly, a nonlinear model predictive controller (NMPC) based on state variable model of the component-level model of the turboshaft engine is designed. Then based on the integrated engine model, the two-speed dual path tiltrotor driveline comprehensive simulation model was developed by utilizing gear kinematics theory, blade element analysis and the theory of classical mechanics. Finally, both a Parallel Shift Control (PSC) strategy and a Sequential Shift Control (SSC) strategy in tiltrotor cruise state were analyzed and compared with conventional PID controller. It is shown that the rotors’ speed can synchronously vary by 50 percent under the PSC strategy in tiltrotor cruise state. Meanwhile, disengaging the engine in turn by freewheel clutches can reduce the rotors’ speed from 190 rpm to 102.5 rpm along the specified path under the SSC strategy. The overshoot and droop amount of the power turbine speed can be reduced to less than 1.5 % with the steady error no more than 0.2 % through NMPC, which realizes the fast response control of the turboshaft engine.

Funding statement: This work has been co-supported by the National Natural Science Foundation of China (Grant/Award Number: 51576096), Qing Lan, 333 Project and Foundation of Graduate Innovation Center in NUAA (Grant/Award Number: kfjj20170221), the Fundamental Research Funds for the Central Universities.

Nomenclature

Symbol

Explanation

Ωpt

Relative speed of power turbine (%)

Ωpt_L

Relative speed of left side power turbine (%)

Ωpt_R

Relative speed of right side power turbine (%)

Ωc

Relative speed of compressor (%)

Ωc_L

Relative speed of left side compressor (%)

Ωc_R

Relative speed of right side compressor (%)

Wfb

Fuel flow (kg/s)

Wfb_L

Left side fuel flow (kg/s)

Wfb_R

Right side fuel flow (kg/s)

ΩMR

Main rotor speed (rpm)

ΩMR_L

Left main rotor speed (rpm)

Pcl1

Applied pressure to high-speed clutch

ΩMR_R

Right main rotor speed (rpm)

TQE

Engine output torque (kN.m)

TQE_L

Left engine output torque (kN.m)

TQE_R

Right engine output torque (kN.m)

TQMR

Main rotor torque (kN.m)

Tcs

Torque transmitted by cross-shaft (kN.m)

θpitch

Rotor collective pitch (°)

νc

Forward speed (m/s)

Nb

Number of blades

ni

Initial reduction ratio

nf

Final reduction ratio

Pcl2

Applied pressure to low-speed clutch

References

1. DeSmidt HA, Smith EC, Bill RC, Wang K-W. Comprehensive modeling and analysis of rotorcraft variable speed propulsion system with coupled engine/transmission/rotor dynamics [R]. NASA/CR-2013-216502.Suche in Google Scholar

2. Saribay Z, Lemanski A, Elmoznino M. Pericyclic non-traction continuously variable speed transmission (P-CVT): rotorcraft applications [C]. Phoenix, AZ: AHS International 62nd Annual Forum and Technology Display, 2006.Suche in Google Scholar

3. Welch GE. Overview of variable-speed power-turbine research [C]. Cleveland: NASA Fundamental Aeronautics Conference, 2011.Suche in Google Scholar

4. Yamauchi GK. NASA subsonic rotary wing project, multidisciplinary analysis & technology development: overview [C]. Georgia: Fundamental Aeronautics Program Annual Meeting, 2009.Suche in Google Scholar

5. Daso EO. NASA overview: fundamental aeronautics program research activities on noise impacts [C]. Washington: NoiseImpacts Roadmap Annual Meeting, 2011.Suche in Google Scholar

6. Johnson W, Yamauchi GK, Watts ME NASA heavy lift rotorcraft systems investigation [R]. SAE Technical Paper, 2005-01-3149.10.4271/2005-01-3149Suche in Google Scholar

7. Ning J. Study on simulation and control of integrated helicopter/transmission/engine system with variable rotor speed [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2016.Suche in Google Scholar

8. Yao W-R, Ning J-T, Zhang H-B. Study on simulation and control of helicopter with variable rotor speed based on a continuously variable transmission [J]. J Propul Technol. 2017;38(2):434–41.Suche in Google Scholar

9. Munter PL. Design and flight test of a two-speed helicopter transmission[C]. In: Proceedings of the American Helicopter Society 10th Annual Forum, May 1954.Suche in Google Scholar

10. Maisal MD, Giulianetti DJ, Dugan DC The history of the XV-15 tilt rotor research aircraft: from concept to flight [R]. NASA SP-2000-4517.Suche in Google Scholar

11. Germanowski PJ, Stille BL, Strauss MP. Technology assessment for large vertical-lift transport tiltrotors [M]. California: National Aeronautics and Space Administration, Ames Research Center, 2010.Suche in Google Scholar

12. Litt J S, Edwards JM, Decastro JAA. sequential shifting algorithm for variable rotor speed control [C]. Ann For Proceed – AHS Inter. 2007;2:958–68.Suche in Google Scholar

13. Misté GA, Garavello A, Benini E, Maria Gonzale Alcoy. A new methodology for determining the optimal rotational speed of a variable RPM main rotor/turboshaft engine system [C]. Arizona: AHS69th Annual Forum, 2013.Suche in Google Scholar

14. Misté GA, Benini E. Performance of a turbo-shaft engine for helicopter applications operating at variable shaft speed [C]. Mumbai: Proceedingsof the ASME Gas Turbine Conference, 2012.10.1115/GTINDIA2012-9505Suche in Google Scholar

15. Han D. Study on the performance and trim of helicopters with variable speed rotors [J]. Acta Aeronautica ET Astronautica Sinica. 2013;34(6):1241–48.Suche in Google Scholar

16. Chen G. Study for real-time optimization control and hardware platform based on integrated helicopter/turboshaft engine system [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012.Suche in Google Scholar

17. Zhang H-B, Yao W-T, Chen G. Design of a numeric simulation platform for integrated turbo-shaft engine /helicopter control system [J]. J Propul Technol. 2011;32(3):383–90.Suche in Google Scholar

18. Liu Chunming L. Research of NASA large civil tiltrotor development [J]. Civil Aircraft Design Res. 2010;(4):1–5.Suche in Google Scholar

19. Di Cairano S, Yanakiev D, Bemporad A, Kolmanovsky IV, D Hrovat. Model predictive idle speed control: design, analysis, and experimental evaluation [J]. IEEE Trans Cont Syst Technol. 2012;20(1):84–97.10.1109/TCST.2011.2112361Suche in Google Scholar

20. Di Cairano S, Doering J, Kolmanovsky IV, D Hrovat. Model predictivecontrol of engine speed during vehicle deceleration[J]. IEEE Trans Cont Syst Technol. 2014;22(6):2205–17.10.1109/TCST.2014.2309671Suche in Google Scholar

21. Lewicki DG, DeSmidt HA, Smith EC, Bauman SW. Two-speed gearbox dynamic simulation predictions and test validation [C]. Phoenix: AHS Forum 66, 2010.Suche in Google Scholar

22. Johnson W. Helicopter theory [M]. New York: Courier Corporation, 2012.Suche in Google Scholar

23. Deng S, Percin M, Oudheusden BWV, Remes B, Xiao T. Numerical simulation of a flexible X-wing flapping-wing micro air vehicle [J]. AIAA. 2017;55(7):2295–306.10.2514/1.J054816Suche in Google Scholar

Received: 2018-02-26
Accepted: 2018-03-08
Published Online: 2018-04-17
Published in Print: 2021-05-26

© 2018 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 19.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/tjj-2018-0004/pdf
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