Zuo L, Zhang X, Li Z et al (2023) Design of UAV control law based on active disturbance rejection method. Flight control systems for passenger aircraft are still predominantly designed using classical. Rong Z, Wenjie H, Wen T (2018) Applicability and tuning of linear active disturbance rejection control. Fig.4 Time domain results of optimized PID controlled UAV system.
National Defense Industry Press, Beijing, pp 280–281 The rudder configuration of the flying wing UAV is shown in Fig. Jingqing H (2009) Active disturbance rejection control technology. The flying wing UAV with high aspect ratio is a very complex nonlinear dynamic system, so it is necessary to have an precise model before control system designing, which will directly affect the reliability of the flying wing UAV flight simulation results. AIAA SciTech Forum and Exposition, pp 1364–1379. The Design of an Automatic Flight Control System and Dynamic Simulation for Fixed-Wing Unmanned Aerial Vehicle (UAV) using X-Plane and LabVIEW December 2021 DOI: 10.30880/paat.2021.01.01. Appl Math Model (Mara): 709–722ĭeslich J, Flick P, Meckstroth CM (2021) Evaluating the effectiveness of compliant leading edge control surfaces on an oblique flying wing for directional control. Guerrero-Sanchez ME, Lozano R (2021) Nonlinear control strategies for a UAV carrying a load with swing attenuation.
Rogalski T, Nowak D (2019) Control system for aircraft take-off and landing based on modified PID controllers. Wei S, Yanzhao Y (2020) Aerodynamic modeling and flight simulation of Tailseat UAV with flying wing layout. Beihang University Press, Beijing, pp 20–22 Zhenping F (2005) Flight dynamics of aircraft. Zhang T, Li Q, Zhang C (2018) Development trend of intelligent unmanned autonomous systems. Yi Y, Li Z (2019) Unmanned aerial vehicle and future combat. Nanjing University of Aeronautics and Astronautics, Nanjing, pp 68–93 The results showed that the framework could be used to create the system model, as well as precisely analyze and verify the real-time reliability of UAV flight control system.Donghong Z (2018) Research on automatic landing technology of UAV with high aspect ratio. Finally, we modeled the simplified flight control system of UAV to check its real-time property. It is used by a variety of Tier 1 aerospace manufacturers in a wide range of UAV - also known as Remotely Piloted Aircraft Systems (RPAS) or drones. For the real-time specifications of software system, we also proposed a generating algorithm for temporal logic formula, which could automatically extract real-time property from time-sensitive live sequence chart (TLSC). UAV Navigation is a privately-owned company that has specialized in the design of flight control solutions for Unmanned Aerial Vehicles (UAVs) since 2004. In term of the defined transformation rules, the MARTE model could be transformed to formal integrated model, and the different part of the model could also be verified by using existing formal tools. Combining with the advantages of MARTE, this framework uses class diagram to create the static model of software system, and utilizes state chart to create the dynamic model. In order to verify the real-time reliability of unmanned aerial vehicle (UAV) flight control system and comply with the airworthiness certification standard, we proposed a model-based integration framework for modeling and verification of time property. According to the analysis on the composition as well as functions of flight control system of unmanned aerial vehicle (UAV), the computer simulation test method of flight control and management based on simulation test platform is introduced, with the focus on fault injection and test method.