TY - THES AU - Lukács, Loránd TI - Advanced Design Methods for Unmanned Aerial Vehicle Control PB - Budapesti Műszaki és Gazdaságtudományi Egyetem PY - 2017 SP - 160 UR - https://m2.mtmt.hu/api/publication/3249493 ID - 3249493 LA - English DB - MTMT ER - TY - JOUR AU - Lukács, Loránd AU - Lantos, Béla TI - Simultaneous Aircraft Nonlinear Model and Inertial Parameter Identification Based on Real Flight Data JF - BULETINUL STIINTIFIC AL UNIVERSITATII POLITEHNICA DIN TIMISOARA ROMANIA SERIA AUTOMATICA SI CALCULATORAE J2 - BS-TACCS VL - 60 PY - 2015 IS - 1 SP - 31 EP - 38 PG - 8 SN - 1224-600X UR - https://m2.mtmt.hu/api/publication/3139654 ID - 3139654 LA - English DB - MTMT ER - TY - CHAP AU - Lukács, Loránd ED - Szakál, Anikó TI - In-flight horizon line detection for airplanes using image processing T2 - SISY 2015: IEEE 13th International Symposium on Intelligent Systems and Informatics PB - IEEE CY - New York, New York SN - 1467393886 T3 - International Symposium on Intelligent Systems and Informatics PY - 2015 SP - 49 EP - 54 PG - 6 DO - 10.1109/SISY.2015.7325350 UR - https://m2.mtmt.hu/api/publication/2946093 ID - 2946093 LA - English DB - MTMT ER - TY - CHAP AU - Lukács, Loránd AU - Lantos, Béla ED - Szakál, Anikó TI - Nonlinear dynamic model identification of airplanes including inertial parameters and force-torque relations based on real flight data T2 - 2015 IEEE 10TH JUBILEE INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI) PB - IEEE CY - Budapest SN - 9781479999125 PY - 2015 SP - 393 EP - 398 PG - 6 DO - 10.1109/SACI.2015.7208236 UR - https://m2.mtmt.hu/api/publication/2941958 ID - 2941958 LA - English DB - MTMT ER - TY - CHAP AU - Lukács, Loránd ED - Kiss, Bálint ED - Szirmay-Kalos, László TI - Image processing based aircraft attitude determination using real flight data T2 - Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015 PB - BME Irányítástechnika és Informatika Tanszék CY - Budapest SN - 9789633131787 PY - 2015 SP - 149 EP - 154 PG - 6 UR - https://m2.mtmt.hu/api/publication/2941928 ID - 2941928 LA - English DB - MTMT ER - TY - JOUR AU - Lukács, Loránd AU - Lantos, Béla TI - GPS and IMU Based State Estimation Method for Aircraft INS Navigation JF - BULETINUL STIINTIFIC AL UNIVERSITATII POLITEHNICA DIN TIMISOARA ROMANIA SERIA AUTOMATICA SI CALCULATORAE J2 - BS-TACCS VL - 59(73) PY - 2014 IS - 1 SP - 9 EP - 17 PG - 9 SN - 1224-600X UR - https://m2.mtmt.hu/api/publication/2762195 ID - 2762195 AB - The study presents a state estimation method for the determination of position, speed, spatial orientation and angular velocity of an aircraft based on the data fusion using Extended Kalman Filtering and actual flight data. The sensors mounted on the aircraft include GPS, 3D accelerometer, angular velocity and magnetometer. The paper also proposes a method for determining the angle of attack and sideslip angles of the aircraft. The state variables together with actuator signals (determined separately) are considered as input signals for the identification of the nonlinear model of an aircraft. The achieved results can be used for long range inertial navigational systems (INS) or aircraft system identification with the knowledge of the control signals. LA - English DB - MTMT ER - TY - JOUR AU - Lukács, Loránd TI - Augmented Reality For Aircraft Control JF - HADMÉRNÖK J2 - HADMÉRNÖK VL - 9 PY - 2014 IS - 3 SP - 32 EP - 47 PG - 16 SN - 1788-1919 UR - https://m2.mtmt.hu/api/publication/2762190 ID - 2762190 AB - The paper presents a low computational cost system engineering solution which can be used for the control and navigation of airplanes in low visibility when Instrumental Flight Rules apply. The application presented in the paper uses the orientation and navigation information of a glider aircraft superimposed on images acquired with a wide angle lens camera during flight. Using this method of displaying data, the crucial information needed for aircraft control such as orientation, heading, airspeed, vertical speed, altitude, angle of attack and slip angle of the aircraft can be viewed by pilots without requiring them to lose sight of their visual viewpoints. The paper emphasizes on determining the correct position of the main visual elements on the image plane required for maintaining the desired heading and attitude of the aircraft. The developed method can also be applied for UAVs controlled via video link. A tanulmány légi járművek irányításához szükséges alacsony számítási költségekkel járó megoldást mutat be, ami alkalmazható rossz látási körülmények közötti vezérlésénél vagy olyan esetekben, amikor műszerrepülési helyzetek lépnek fel. A bemutatott alkalmazás egy vitorlázó repülőgép példáján becsült orientációs és navigációs adatokat helyez széles látószögű videó kamera által rögzített képekre repülés közben. Ez az adatmegjelenítési módszer a repülőgép vezérléséhez szükséges elengedhetetlen információkat, mint orientáció, útirány, repülési sebesség, vertikális sebesség, magasság, állásszög és oldalcsúszási szög értékeket jelenít meg anélkül, hogy a pilóta kényszerítve legyen, hogy szem elől tévessze a repüléshez szükséges vizuális referenciáit. A cikk fő hangsúlya a repülőgép orientációjához szükséges főbb vizuális elemek képsíkon való helyének meghatározására esik. A módszer videó kapcsolaton keresztül vezérelt embernélküli légi járművek irányításánál is alkalmazható. LA - English DB - MTMT ER - TY - CHAP AU - Lukács, Loránd AU - Lantos, Béla ED - Anikó, Szakál TI - Identification of the nonlinear dynamic model of sailplanes involving state estimation and image processing for actuator signal computation T2 - 2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY 2014) PB - IEEE Hungary Section CY - Subotica SN - 9781479959976 PY - 2014 SP - 227 EP - 232 PG - 6 DO - 10.1109/SISY.2014.6923591 UR - https://m2.mtmt.hu/api/publication/2761993 ID - 2761993 AB - The primary scope of the paper lies on the identification of an aircraft’s nonlinear dynamic model. It is assumed that the aircraft has no inbuilt navigational system, nor any sensors mounted on its control surfaces. The flight of the airplane is influenced by the control column and pedals manipulated by the pilot whose positions can only visually be observed. This situation can often occur in the first phase of control system development of airplanes. Hence, for the time of data logging, an external sensory system (GPS, IMU) and a camera system were deployed on the airplane supporting the collection of flight data for state estimation and model identification. An earlier paper discussed the computation of the actuator signals thus the paper deals mainly with the state estimation and model identification. State estimation is based on two-level Extended Kalman Filters with additional correction in an external loop. System identification is based on the dynamical equations of rigid body with additional weighted nonlinear terms for 3D forces and torques. Wind effects are taken into consideration. From the inertial parameters only the mass is known. Dominating nonlinear functions in the force and torque model are selected by using hypotheses tests. The results are presented for a real sailplane using flight data. LA - English DB - MTMT ER - TY - CHAP AU - Lukács, Loránd ED - Anikó, Szakál TI - State Estimation Method for Aircraft Identification Purposes T2 - 2014 IEEE 9th International Symposium on Applied Computational Intelligence and Informatics PB - IEEE Hungary Section CY - Timisoara SN - 9781479946938 PY - 2014 SP - 31 EP - 35 PG - 5 DO - 10.1109/SACI.2014.6840090 UR - https://m2.mtmt.hu/api/publication/2698947 ID - 2698947 LA - English DB - MTMT ER - TY - CHAP AU - Lukács, Loránd ED - Domokos, József ED - Forgó, Zoltán ED - Bakó, László TI - Actuator Signal Determination from Video Sequences and State Estimation for Aircraft Identification T2 - 4th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (MACRO), 2013 PB - Sapientia Hungarian University of Transylvania CY - Targu Mures PY - 2013 SP - 164 EP - 175 PG - 12 UR - https://m2.mtmt.hu/api/publication/2695756 ID - 2695756 LA - English DB - MTMT ER -