D-Optimal Simultaneous Multistep Excitations for Aircraft Parameter Estimation

Lichota, Piotr; Sibilski, Krzysztof; Ohme, Per

doi:10.2514/1.c033794

Cited by 25 publications

(26 citation statements)

References 25 publications

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“…Therefore, most studies using CFD published until the end of 2018 only concern the modelling of the aerodynamic performance of rotors of VAWT in 2D. Another possibility would be to use system identification methods, however this approach is not possible due to high cost of the experiments [8,9].…”

Section: Introductionmentioning

confidence: 99%

URANS and ACM for determining the aerodynamic performance of vertical-axis wind turbine

Rogowski

Hansen

2019

E3S Web Conf.

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This paper presents numerical results of a one-bladed vertical axis wind turbine using the k-ε RNG turbulence model. The rotor geometry was developed based on the research report available on the literature. The obtained results of aerodynamic blade loads and wake profiles downstream behind the rotor are in a good agreement with the experiment. This paper presents also the ability of calculating fluid flow parameters around the operating wind turbine by using the original approach – the actuator cell model (ACM).

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Section: Introductionmentioning

confidence: 99%

URANS and ACM for determining the aerodynamic performance of vertical-axis wind turbine

Rogowski

Hansen

2019

E3S Web Conf.

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“…This task can be carried by using engineering based approach based on experience or more efficiently by using Lichota Method for maximizing the information stored from the aircraft response. Lichota method is a bio-inspired method based in Genetic Algorithm (GA) optimization technique to obtain adequate input energy content for a specific aircraft model [7,8,9,10,11,12]. F I G .…”

Section: Introductionmentioning

confidence: 99%

Implementation of bio-inspired optimization algorithms in the System Identification of a FAR 23 aircraft

Agudelo

Lichota

2019

TECCIENCIA

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Aircraft aerodynamic forces and moments can be expressed as a function of the dynamic pressure, aircraft dimensions and flight conditions. They are very important do predict the aircraft behavior and performance. Moreover, they play an important role predicting the model response to control inputs. For these reasons it is important to accurate determine the aerodynamic characteristics in terms of stability and control derivatives. This study presents a methodology to precisely estimate stability and control derivatives through system identification procedure. Navion FAR 23 airplane model was used for this purpose. A bio-inspired optimization method was used to create optimal input control signals to excite the model and obtain an output signal with good frequency content that allowed to properly identify the system. Inclusion of bio-inspired methods increased the accuracy of the estimates. The method can be used to identify fixed wing platforms of similar characteristics. Results can be used to develop flight simulators to collect system information regarding certification evidences and to train pilots. keywords: Aircraft, stability, control, aerodynamics. RESUMEN.Las fuerzas y los momentos aerodinámicos de las aeronaves se pueden expresar en función de la presión dinámica, las dimensiones de la aeronave y las condiciones de vuelo. Son muy importantes para predecir el comportamiento y el rendimiento de la aeronave. Además, desempeñan un papel importante al predecir la respuesta del modelo a los comandos de control. Por estas razones, es importante determinar con precisión las características aerodinámicas en términos de derivativas de estabilidad y control. Este estudio pretende establecer una metodología para estimar con precisión las derivativas de estabilidad y control a través de procedimientos de identificación de sistemas. El modelo de avión Navion de categoría FAR 23 fue utilizado para este propósito. Se implementó un método de optimización bioinspirado para crear señales de control de entrada óptimas para estimular el modelo y obtener una señal de salida con un buen contenido de frecuencia que permitiera identificar correctamente el sistema. Se logró determinar que la inclusión de métodos bioinspirados aumentó la precisión de las estimaciones. El método desarrollado se puede utilizar para identificar los parámetros de plataformas de ala fija de peso y características similares. Los resultados se pueden utilizar para el desarrollo de simuladores de vuelo con el propósito de recopilar información del sistema durante las pruebas de certificación y para capacitar a los pilotos.

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“…Such a mission may be performed by a fleet of various UAS (Forsmo et al, 2013;Kopyt, Narkiewicz, & Małecki, 2015). To cover the area in shortest time, the proper trajectories need to be provided considering not only the UAS performance but also the sensors' parameters (Ahmadzadeh, 2005;Lichota, Sibilski, & Ohme, 2017;Patel, 2011;Santamaria, Segor, Tchouchenkov, & Schoenbein, 2013). Results presented in the paper were obtained during a 3-year research project called OpUSS "Optimization of Unmanned System of Systems" performed by a research team from Warsaw University of Technology in cooperation with Lockheed Martin Company.…”

Section: Introductionmentioning

confidence: 99%

Increase of flight operations effectiveness using automated control over a fleet of various UAS

Bibik

Kopyt

2019

European Journal of Remote Sensing

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Following paper presents a research aiming to increase the efficiency of an Unmanned Aerial System (UAS) fleet during mission execution. The developed system allows to reduce the mission time by considering the fleet diversity. System is based on a multilevel optimization, applying an innovative trajectory generation method. The Mixed Integer Linear Programming (MILP) algorithm was adopted, so the trajectories for individual platform were optimal (shortest). The developed solution considers not only the area but also the UASs performance and sensors capabilities. The mission operator with the dedicated GUI could control and designate the platforms for various tasks. The method was tested on various platforms with different performance. The method proved its efficiency reducing the mission time up to 15%. Finally, the system was successfully tested in real environment with the use of three various platforms. ARTICLE HISTORY

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D-Optimal Simultaneous Multistep Excitations for Aircraft Parameter Estimation

Cited by 25 publications

References 25 publications

URANS and ACM for determining the aerodynamic performance of vertical-axis wind turbine

URANS and ACM for determining the aerodynamic performance of vertical-axis wind turbine

Implementation of bio-inspired optimization algorithms in the System Identification of a FAR 23 aircraft

Increase of flight operations effectiveness using automated control over a fleet of various UAS

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