Open Access Open Access  Restricted Access Subscription Access

Identification of Longitudinal Aircraft Dynamics by Process Model Using MATLAB/SIMULINK


Affiliations
1 Design Electrical Department, Aircraft Upgrade R&D Centre, Hindustan Aeronautics Limited, Nasik (MH), India
 

System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. The estimated models allow the characterization of the response of the overall aircraft or component subsystem behavior. This paper discusses the use of System Identification Toolbox of MATLAB/SIMULINK for the estimation of aircraft flight dynamics in longitudinal channel. The data extraction, model selection and estimation of aircraft dynamics by process modeling along with data validation, time and frequency response analysis is illustrated using the system-identification simulation environment.

Keywords

System Identification, Process Model, MATLAB/SIMULINK.
User
Notifications
Font Size

Abstract Views: 93

PDF Views: 0




  • Identification of Longitudinal Aircraft Dynamics by Process Model Using MATLAB/SIMULINK

Abstract Views: 93  |  PDF Views: 0

Authors

Jitu Sanwale
Design Electrical Department, Aircraft Upgrade R&D Centre, Hindustan Aeronautics Limited, Nasik (MH), India
Dhan Jeet Singh
Design Electrical Department, Aircraft Upgrade R&D Centre, Hindustan Aeronautics Limited, Nasik (MH), India

Abstract


System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. The estimated models allow the characterization of the response of the overall aircraft or component subsystem behavior. This paper discusses the use of System Identification Toolbox of MATLAB/SIMULINK for the estimation of aircraft flight dynamics in longitudinal channel. The data extraction, model selection and estimation of aircraft dynamics by process modeling along with data validation, time and frequency response analysis is illustrated using the system-identification simulation environment.

Keywords


System Identification, Process Model, MATLAB/SIMULINK.