Proceedings ArticleDOI
Lateral-directional aerodynamics parameter estimation using neural partial differentiation
Vikalp Dongare,Majeed Mohamed +1 more
- pp 1-6
TLDR
In this article, a neural model capable of predicting generalized force and moment coefficients using measured motion and control variables is employed to extract aerodynamic parameters from flight data for lateral-directional flight stability and control parameter estimation.Abstract:
In this paper, application of neural networks combined with partial differentiation of the neural outputs has been discussed to estimate lateral-directional flight stability and control parameter. A neural model capable of predicting generalized force and moment coefficients using measured motion and control variables can be employed to extract aerodynamic parameters from flight data. The Neural Partial Differentiation method is used for this purpose. The estimated results are compared with the parameter estimates obtained from Output Error Method. The validity of estimates has been verified by the model validation method, wherein the estimated model response is matched with the flight-test data that are not used for estimating the parameter.read more
Citations
More filters
Journal ArticleDOI
Nonlinear aircraft system identification using artificial neural networks enhanced by empirical mode decomposition
TL;DR: This paper aims to improve the performance of artificial neural networks used for the aircraft system identification by taking flight dynamic characteristics into consideration and demonstrates improved accuracy and generality of the proposed method in comparison with the conventional ones.
Journal ArticleDOI
Aerodynamic Parameters Estimation Using Radial Basis Function Neural Partial Differentiation Method
Jitu Sanwale,Dhan Jeet Singh +1 more
TL;DR: The efficacy of the identified model and proposed neural derivative method is demonstrated using real time flight data of ATTAS aircraft and the results from the proposed approach compare well with those from the other.
Journal ArticleDOI
ANFIS-Delta method for aerodynamic parameter estimation using flight data:
Ajit Kumar,Ajoy Kanti Ghosh +1 more
TL;DR: The current work studies the comparison of ANFIS-Delta estimated results with the existing methods using the flight data gathered on the Hansa-3 research aircraft at IIT Kanpur and also demonstrates the efficacy of the algorithm on DLR HFB-320 aircraft data.
Journal ArticleDOI
Aircraft neural modeling and parameter estimation using neural partial differentiation
Majeed Mohamed,Vikalp Dongare +1 more
TL;DR: A neural model of an aircraft from flight data and online estimation of the aerodynamic derivatives from established neural model is built to facilitate the design of neural network-based adaptive flight control system.
Proceedings ArticleDOI
Data-Driven Method based Aerodynamic Parameter Estimation from Flight Data
Ajit Kumar,Ajoy Kanti Ghosh +1 more
References
More filters
Journal ArticleDOI
Artificial neural networks for solving ordinary and partial differential equations
TL;DR: This article illustrates the method by solving a variety of model problems and presents comparisons with solutions obtained using the Galekrkin finite element method for several cases of partial differential equations.
BookDOI
Aircraft system identification : theory and practice
TL;DR: This book presents an overview of Estimation Theory and its applications in Mathematical Model of an Aircraft and Real-Time Parameter Estimation, as well as some of the methods used in this work.
Book
Flight Vehicle System Identification: A Time-domain Methodology
TL;DR: This valuable volume offers a systematic approach to flight vehicle system identification and covers exhaustively the time-domain methodology and addresses in detail the theoretical and practical aspects of various parameter estimation methods, including those in the stochastic framework and focusing on nonlinear models, cost functions, optimization methods, and residual analysis.
Book
Aircraft and Rotorcraft System Identification: Engineering Methods with Flight-Test Examples
TL;DR: Tischler and Remple as discussed by the authors presented proven methods, practical guidelines, and real-world flight-test results for a wide range of state-of-the-art flight vehicles, addressing the entire process of aircraft and rotorcraft system identification from instrumentation and flight testing to model determination, validation and application of the results.
Journal ArticleDOI
Real-Time Parameter Estimation in the Frequency Domain
TL;DR: In this paper, a method for real-time estimation of parameters in a linear dynamic state space model was developed and studied for aircraft dynamic model parameter estimation from measured data in flight for indirect adaptive or reconfigurable control.
Related Papers (5)
Estimation of Aircraft Lateral-Directional Parameters Using Neural Networks
Aircraft neural modeling and parameter estimation using neural partial differentiation
Majeed Mohamed,Vikalp Dongare +1 more
Estimation of lateral-directional parameters using neural networks based modified delta method
S. Singh,Ajoy Kanti Ghosh +1 more