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

Correlation Measure-Based Stall Margin Estimation for a Single-Stage Axial Compressor

[+] Author and Article Information
Yuan Liu1

Manuj Dhingra, J. V. R. Prasad

 School of Aerospace Engineering, GA Institute of Technology, 270 Ferst Drive, Atlanta, GA 30332

1

Corresponding author.

J. Eng. Gas Turbines Power 134(1), 011603 (Nov 07, 2011) (9 pages) doi:10.1115/1.4004177 History: Received April 25, 2011; Accepted May 03, 2011; Published November 07, 2011; Online November 07, 2011

This paper presents a method for estimating compressor stall margin and the results of applying the estimation technique to an axial compressor rig. Stall margin estimation is accomplished through the use of a compressor stability detection parameter called the “correlation measure.” The correlation measure captures the periodicity of the pressure in the rotor tip region of the compressor. The downcrossing frequency of the correlation measure across some preset threshold is measured while operating the compressor rig at various steady-state points along the design speed characteristic line. These measurements are used to generate a relationship with stall margin as a function of downcrossing frequency. The estimation technique is evaluated by applying it while dynamically ramping the operating point of the compressor up the design speed line towards surge. A brief investigation on the effects of inlet distortions on the correlation measure-based estimation system is also given.

Copyright © 2012 by American Society of Mechanical Engineers
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Figures

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Figure 1

Diagram of experimental facility

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Figure 2

The correlation measure quantifies the periodicity of the rotor tip pressure signature by continuously comparing two moving windows of pressure samples separated in time by one rotor revolution

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Figure 3

Compressor rig performance map: pressure rise versus flow velocity for 92.5% to 100% of design speed

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Figure 4

Relationship between stall margin and correlation measure event frequency

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Figure 5

Butterfly valve position during a throttle transient, measured in degrees away from fully open position (0°)

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Figure 6

Example 1: Good quality estimation of stall margin

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Example 2: Estimated stall margin outperforms reference stall margin

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Example 3: Overly conservative stall margin estimation

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Figure 9

Example 4: Estimated stall margin underperforms reference stall margin

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Figure 10

Example 5: Estimated stall margin lacking expected trend

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Figure 11

Time of first warning signal encountered in terms of seconds before surge for four different threshold levels

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Figure 12

Time of first warning signal encountered and corresponding estimated stall margin values for threshold level of 0.65

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Figure 13

Relationship between stall margin and event frequency for different threshold levels

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Figure 14

Example 1 transient run with multiple threshold levels

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Example 5 transient run with multiple threshold levels

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Figure 16

Stall margin estimation for transient run with inlet distortion

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