Application of fuzzy logic approach for an aircraft model with and without winglet

Altab Hossain, Ataur Rahman, Jakir Hossen, A. K.M.P. Iqbal, S. K. Hasan

Research output: Contribution to journalArticle

Abstract

The measurement of aerodynamic forces and moments acting on an aircraft model is important for the development of wind tunnel measurement technology to predict the performance of the full scale vehicle. The potentials of an aircraft model with and without winglet and aerodynamic characteristics with NACA wing No. 65-3-218 have been studied using subsonic wind tunnel of 1 m × 1 m rectangular test section and 2.5 m long of Aerodynamics Laboratory Faculty of Engineering (University Putra Malaysia). Focusing on analyzing the aerodynamic characteristics of the aircraft model, two main issues are studied in this paper. First, a six component wind tunnel external balance is used for measuring lift, drag and pitching moment. Secondly, Tests are conducted on the aircraft model with and without winglet of two configurations at Reynolds numbers 1.7×10 5, 2.1×10 5, and 2.5×10 5 for different angle of attacks. Fuzzy logic approach is found as efficient for the representation, manipulation and utilization of aerodynamic characteristics. Therefore, the primary purpose of this work was to investigate the relationship between lift and drag coefficients, with free-stream velocities and angle of attacks, and to illustrate how fuzzy logic might play an important role in study of lift aerodynamic characteristics of an aircraft model with the addition of certain winglet configurations. Results of the developed fuzzy logic were compared with the experimental results. For lift coefficient analysis, the mean of actual and predicted values were 0.62 and 0.60 respectively. The coreelation between actual and predicted values (from FLS model) of lift coefficient in different angle of attack was found as 0.99. The mean relative error of actual and predicted valus was found as 5.18% for the velocity of 26.36 m/s which was found to be less than the acceptable limits (10%). The goodness of fit of prediction value was 0.95 which was close to 1.0.

Original languageEnglish
Pages (from-to)7-15
Number of pages9
JournalWorld Academy of Science, Engineering and Technology
Volume75
Publication statusPublished - 01 Mar 2011

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Aircraft models
Fuzzy logic
Aerodynamics
Angle of attack
Wind tunnels
Drag coefficient
Drag
Reynolds number

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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title = "Application of fuzzy logic approach for an aircraft model with and without winglet",
abstract = "The measurement of aerodynamic forces and moments acting on an aircraft model is important for the development of wind tunnel measurement technology to predict the performance of the full scale vehicle. The potentials of an aircraft model with and without winglet and aerodynamic characteristics with NACA wing No. 65-3-218 have been studied using subsonic wind tunnel of 1 m × 1 m rectangular test section and 2.5 m long of Aerodynamics Laboratory Faculty of Engineering (University Putra Malaysia). Focusing on analyzing the aerodynamic characteristics of the aircraft model, two main issues are studied in this paper. First, a six component wind tunnel external balance is used for measuring lift, drag and pitching moment. Secondly, Tests are conducted on the aircraft model with and without winglet of two configurations at Reynolds numbers 1.7×10 5, 2.1×10 5, and 2.5×10 5 for different angle of attacks. Fuzzy logic approach is found as efficient for the representation, manipulation and utilization of aerodynamic characteristics. Therefore, the primary purpose of this work was to investigate the relationship between lift and drag coefficients, with free-stream velocities and angle of attacks, and to illustrate how fuzzy logic might play an important role in study of lift aerodynamic characteristics of an aircraft model with the addition of certain winglet configurations. Results of the developed fuzzy logic were compared with the experimental results. For lift coefficient analysis, the mean of actual and predicted values were 0.62 and 0.60 respectively. The coreelation between actual and predicted values (from FLS model) of lift coefficient in different angle of attack was found as 0.99. The mean relative error of actual and predicted valus was found as 5.18{\%} for the velocity of 26.36 m/s which was found to be less than the acceptable limits (10{\%}). The goodness of fit of prediction value was 0.95 which was close to 1.0.",
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Application of fuzzy logic approach for an aircraft model with and without winglet. / Hossain, Altab; Rahman, Ataur; Hossen, Jakir; Iqbal, A. K.M.P.; Hasan, S. K.

In: World Academy of Science, Engineering and Technology, Vol. 75, 01.03.2011, p. 7-15.

Research output: Contribution to journalArticle

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