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Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

Thrust Control of Small Turbojet Engines Using Fuzzy Logic: Design and Experimental Validation

[+] Author and Article Information
Riccardo Amirante

e-mail: amirante@poliba.it

Luciano Andrea Catalano

e-mail: catalano@poliba.it

Paolo Tamburrano

e-mail: p.tamburrano@poliba.it
Politecnico di Bari–DIMeG,
Bari, Italy

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 13, 2012; final manuscript received July 20, 2012; published online October 25, 2012. Editor: Dilip R. Ballal.

J. Eng. Gas Turbines Power 134(12), 121601 (Oct 25, 2012) (7 pages) doi:10.1115/1.4007372 History: Received July 13, 2012; Revised July 20, 2012

The aim of this paper is to propose an effective technique which employs a proportional-integral Fuzzy logic controller for the thrust regulation of small scale turbojet engines, capable of ensuring high performance in terms of response speed, precision and stability. Fuzzy rules have been chosen by logical deduction and some specific parameters of the closed loop control have been optimized using a numerical simulator, so as to achieve rapidity and stability of response, as well as absence of overshoots. The proposed Fuzzy logic controller has been tested on the Pegasus MK3 microturbine: the high response speed and precision of the proposed thrust control, revealed by the simulations, have been confirmed by several experimental tests with step response. Its stability has been demonstrated by means of the frequency response analysis of the system. The proposed thrust control technique has general validity and can be applied to any small-scale turbojet engine, as well as to microturbines for electricity production, provided that thrust being substituted with the net mechanical power.

Copyright © 2012 by ASME
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References

Figures

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Fig. 2

Thrust control system

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Fig. 3

Fuzzy sets designed for the error, the error variation and the tension variation

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Fig. 4

Example of Fuzzyfication

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Fig. 5

Simulated turbojet engines

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Fig. 6

Time history of thrust and tension variation for the curve T1

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Fig. 7

Time history of thrust and tension variation for the curve T2

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Fig. 8

Time history of thrust (frequency = 0.2 Hz)

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Fig. 9

Time history of thrust (frequency = 0.4 Hz)

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Fig. 10

Bode plot of the Fuzzy closed-loop control system

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Fig. 11

Time history of thrust (1st test)

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Fig. 12

Recorded thrust for U = 2 V

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Fig. 13

Time history of thrust (2nd test)

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Fig. 14

Time history of thrust (3rd test)

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Fig. 15

Time history of thrust (4th test, comparison between Fuzzy and standard PI controllers)

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Fig. 16

Time history of thrust (5th test, comparison between Fuzzy and standard PI controllers)

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