Estimation of Longitudinal Aerodynamic Derivatives Using Genetic Algorithm Optimized Method
Ambuj Srivastava,
Ajit Kumar,
Ajoy Kanti Ghosh
Issue:
Volume 4, Issue 2, April 2019
Pages:
34-46
Received:
10 April 2019
Accepted:
21 May 2019
Published:
10 June 2019
Abstract: This paper presents the estimation of longitudinal aerodynamic parameters by using Genetic Algorithm (GA) optimized method from simulated and real flight data of ATTAS aircraft. The simulated flight data is deliberately contaminated with 5%, 10%, and 15% of random noise for creating flight data, which bears similarity to real flight data. The proposed methodology utilizes the general notion of output error method, i.e., minimizing the response error between the measured response and estimated response, and the genetic algorithm as the optimization technique for an iterative update of the parameter vector. The longitudinal parameters are estimated by using the proposed method from both simulated data (without and with random noise) and real flight data. The parameter estimates obtained by using the proposed method is compared with the estimates from the Maximum-Likelihood method and data-driven methods viz. Delta method and GPR –Delta method for assessing the efficacy of the methodology. The statistical analysis of the parameter estimates has further cemented the confidence in the estimates obtained by using the proposed method.
Abstract: This paper presents the estimation of longitudinal aerodynamic parameters by using Genetic Algorithm (GA) optimized method from simulated and real flight data of ATTAS aircraft. The simulated flight data is deliberately contaminated with 5%, 10%, and 15% of random noise for creating flight data, which bears similarity to real flight data. The propo...
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A Real Options Analysis of Spacecraft Software Product Line Architectures
Joseph R. Laracy,
Thomas Marlowe
Issue:
Volume 4, Issue 2, April 2019
Pages:
47-56
Received:
25 April 2019
Accepted:
29 May 2019
Published:
12 June 2019
Abstract: Software and systems engineering for aerospace platforms presents many unique challenges. The decision if, and how, to employ software product line architectures is one recurring question. Real options analysis—applying option valuation techniques to budgeting decisions—can be a powerful tool for engineering managers, project leaders, and mission directors. In this paper, we demonstrate a real options valuation approach to explore this question.
Abstract: Software and systems engineering for aerospace platforms presents many unique challenges. The decision if, and how, to employ software product line architectures is one recurring question. Real options analysis—applying option valuation techniques to budgeting decisions—can be a powerful tool for engineering managers, project leaders, and mission d...
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