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Research Papers: Gas Turbines: Turbomachinery

Propeller Synchrophase Angle Optimization of Turboprop-Driven Aircraft—An Experimental Investigation

[+] Author and Article Information
Xianghua Huang

Jiangsu Province Key Laboratory
of Aerospace Power System,
College of Energy and Power,
Nanjing University of Aeronautics
and Astronautics,
No. 29 Yudao Street,
Nanjing 210016, China
e-mail: xhhuang@nuaa.edu.cn

Long Sheng

Jiangsu Province Key Laboratory
of Aerospace Power System,
College of Energy and Power,
Nanjing University of Aeronautics
and Astronautics,
No. 29 Yudao Street,
Nanjing 210016, China
e-mail: shenglong2760@sina.com

Yangyang Wang

Shenyang Aero engine Research Institute,
No. 1 Wanlian Road,
Shenyang 110015, China
e-mail: wangyikai1201@gmail.com

1Corresponding author.

Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received April 27, 2014; final manuscript received May 5, 2014; published online June 12, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 136(11), 112606 (Jun 12, 2014) (9 pages) Paper No: GTP-14-1210; doi: 10.1115/1.4027644 History: Received April 27, 2014; Revised May 05, 2014

Propeller synchrophasing is an effective way of reducing interior noise and vibration of turboprop-driven aircraft. However, synchrophasing has achieved limited success in practice for the reason that the predetermined phase angles are not acoustically optimized for maximum noise reduction during all flight conditions. An investigation has been conducted out which includes two folds: first, the noise vector based on laboratory experimental data has been modeled and second, optimal phase to acquire minimum noise is obtained via optimization search. An improved identification method of vector noise model which can be less dependent to noise phase message is presented. Compared with traditional methods, this method can greatly reduce the real-time requirement between phase optimization model and control model or sound acquiring model, so it can eliminate the influence which communication delay brings on identification precision. A synchrophasing experimental platform is established to verify the vector noise modeling. It adopts two propellers-driven servo motors to simulate the interior noise environment of the aircraft. The influence of the date sampling condition on identification is also researched. Ant colony optimization with two improvements is applied to phase optimization of four propellers. Simulation results show that the improved algorithm requires much less calculation.

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References

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Figures

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Fig. 1

Noise characters of time domain and frequency domain (a) waveform of propeller noise and (b) frequency property of propeller noise

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Fig. 2

Noise vector signatures under single frequency condition

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Fig. 3

Structure of platform

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Fig. 4

Photograph of experiment platform

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Fig. 5

Noise waveform of experiment data versus model data

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Fig. 6

Noise waveform of experiment data versus model data in case of with zero pulse delay

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Fig. 7

Relationship between modeling error and data group speed deviation on identification precision

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Fig. 8

Influence of data samples cycles and speed deviation on identification precision

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Fig. 9

Influence of speed deviation on identification precision

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Fig. 10

One-dimension spread chart of noise-phase set of four-propeller aircraft

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Fig. 11

Local zoom chart of Fig. 10

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Fig. 12

Steps comparison of improved ACO

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