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HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System

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@article{IJASEIT11919,
   author = {Herma Yudhi Irwanto and Idris Eko Putro and - Saeri},
   title = {HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {5},
   year = {2021},
   pages = {1780--1786},
   keywords = {Hardware in the Loop Simulation (HILS); Model Predictive Control (MPC); Field Programmable Gate Array (FPGA).},
   abstract = {

Hardware in the Loop Simulation (HILS) system was successfully implemented to the embedded MyRIO-1950 on board as the flight control system (FCS) in FPV-2600 UAV modeling in X-Plane flight simulator. The modeling is carried out step by step using the Loop Simulation (SILS) and HILS software. In the SILS step, Labview and X-Plane succeeded in combining data communication via User Datagram Protocol (UDP) and controlling the vehicle to autopilot by waypoints mode. The subsequent development is to move the whole SILS results program into HILS, which involves software and hardware directly by combining the Predictive Control Model (MPC) as a linear simulation control model and PID as classical control, successfully controlling the FPV-2600 in a flight mode simulation in manual, stability and autopilot by waypoints. The simulation is done by doing a flight test manually and stability directly using remote control manually and stability using the remote control to analyze flight performance and vehicle stability. Furthermore, the simulation of autopilot by waypoints by tuning the MPC’s predictive and control horizon is related to the inner loop control on the roll and pitch, and the PID gain tuning is related to the altitude and the waypoints target. In this simulation, MyRIO-1950 as hardware can be used as a real-time simulation control for MPC and PID integrated into HILS, and this will be very useful for initial procedural reference before flying the FPV-2600 in the actual flight test.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11919},    doi = {10.18517/ijaseit.11.5.11919} }

EndNote

%A Irwanto, Herma Yudhi
%A Putro, Idris Eko
%A Saeri, -
%D 2021
%T HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System
%B 2021
%9 Hardware in the Loop Simulation (HILS); Model Predictive Control (MPC); Field Programmable Gate Array (FPGA).
%! HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System
%K Hardware in the Loop Simulation (HILS); Model Predictive Control (MPC); Field Programmable Gate Array (FPGA).
%X 

Hardware in the Loop Simulation (HILS) system was successfully implemented to the embedded MyRIO-1950 on board as the flight control system (FCS) in FPV-2600 UAV modeling in X-Plane flight simulator. The modeling is carried out step by step using the Loop Simulation (SILS) and HILS software. In the SILS step, Labview and X-Plane succeeded in combining data communication via User Datagram Protocol (UDP) and controlling the vehicle to autopilot by waypoints mode. The subsequent development is to move the whole SILS results program into HILS, which involves software and hardware directly by combining the Predictive Control Model (MPC) as a linear simulation control model and PID as classical control, successfully controlling the FPV-2600 in a flight mode simulation in manual, stability and autopilot by waypoints. The simulation is done by doing a flight test manually and stability directly using remote control manually and stability using the remote control to analyze flight performance and vehicle stability. Furthermore, the simulation of autopilot by waypoints by tuning the MPC’s predictive and control horizon is related to the inner loop control on the roll and pitch, and the PID gain tuning is related to the altitude and the waypoints target. In this simulation, MyRIO-1950 as hardware can be used as a real-time simulation control for MPC and PID integrated into HILS, and this will be very useful for initial procedural reference before flying the FPV-2600 in the actual flight test.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11919 %R doi:10.18517/ijaseit.11.5.11919 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 5 %@ 2088-5334

IEEE

Herma Yudhi Irwanto,Idris Eko Putro and - Saeri,"HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 5, pp. 1780-1786, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.5.11919.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Irwanto, Herma Yudhi
AU  - Putro, Idris Eko
AU  - Saeri, -
PY  - 2021
TI  - HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 5
Y2  - 2021
SP  - 1780
EP  - 1786
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Hardware in the Loop Simulation (HILS); Model Predictive Control (MPC); Field Programmable Gate Array (FPGA).
N2  - 

Hardware in the Loop Simulation (HILS) system was successfully implemented to the embedded MyRIO-1950 on board as the flight control system (FCS) in FPV-2600 UAV modeling in X-Plane flight simulator. The modeling is carried out step by step using the Loop Simulation (SILS) and HILS software. In the SILS step, Labview and X-Plane succeeded in combining data communication via User Datagram Protocol (UDP) and controlling the vehicle to autopilot by waypoints mode. The subsequent development is to move the whole SILS results program into HILS, which involves software and hardware directly by combining the Predictive Control Model (MPC) as a linear simulation control model and PID as classical control, successfully controlling the FPV-2600 in a flight mode simulation in manual, stability and autopilot by waypoints. The simulation is done by doing a flight test manually and stability directly using remote control manually and stability using the remote control to analyze flight performance and vehicle stability. Furthermore, the simulation of autopilot by waypoints by tuning the MPC’s predictive and control horizon is related to the inner loop control on the roll and pitch, and the PID gain tuning is related to the altitude and the waypoints target. In this simulation, MyRIO-1950 as hardware can be used as a real-time simulation control for MPC and PID integrated into HILS, and this will be very useful for initial procedural reference before flying the FPV-2600 in the actual flight test.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11919 DO - 10.18517/ijaseit.11.5.11919

RefWorks

RT Journal Article
ID 11919
A1 Irwanto, Herma Yudhi
A1 Putro, Idris Eko
A1 Saeri, -
T1 HILS of FPV-2600 UAV using MyRIO-1950 as Optimal Flight Control System
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 5
YR 2021
SP 1780
OP 1786
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Hardware in the Loop Simulation (HILS); Model Predictive Control (MPC); Field Programmable Gate Array (FPGA).
AB 

Hardware in the Loop Simulation (HILS) system was successfully implemented to the embedded MyRIO-1950 on board as the flight control system (FCS) in FPV-2600 UAV modeling in X-Plane flight simulator. The modeling is carried out step by step using the Loop Simulation (SILS) and HILS software. In the SILS step, Labview and X-Plane succeeded in combining data communication via User Datagram Protocol (UDP) and controlling the vehicle to autopilot by waypoints mode. The subsequent development is to move the whole SILS results program into HILS, which involves software and hardware directly by combining the Predictive Control Model (MPC) as a linear simulation control model and PID as classical control, successfully controlling the FPV-2600 in a flight mode simulation in manual, stability and autopilot by waypoints. The simulation is done by doing a flight test manually and stability directly using remote control manually and stability using the remote control to analyze flight performance and vehicle stability. Furthermore, the simulation of autopilot by waypoints by tuning the MPC’s predictive and control horizon is related to the inner loop control on the roll and pitch, and the PID gain tuning is related to the altitude and the waypoints target. In this simulation, MyRIO-1950 as hardware can be used as a real-time simulation control for MPC and PID integrated into HILS, and this will be very useful for initial procedural reference before flying the FPV-2600 in the actual flight test.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11919 DO - 10.18517/ijaseit.11.5.11919