INTEGRATED UAV CONTROL MODEL FOR MONITORING OBJECTS WITH LIMITED KNOWN LOCATIONS
Authors:
1.
Kazan National Research Technical University named after A.N. Tupolev
2.
KNITU im. A.N. Tupoleva-KAI:
3.
Kazan National Research Technical University named after A.N. Tupolev
4.
KNITU im. A.N. Tupoleva-KAI
Type:
Article
Pages:
from 115
to 119
Status:
Published
Received:
24.12.2025
Accepted:
25.12.2025
Published:
25.12.2025
Language:
Russian
Keywords:
UNMANNED AERIAL VEHICLE, INTEGRATED MOTION MODEL, CONTROL LAW, TRAJECTORY OPTIMIZATION, RADAR SURVEILLANCE, OBJECT DETECTION, MONITORING
Abstract (English):
This article presents an integrated approach to unmanned aerial vehicle (UAV) control based on a comprehensive mathematical model of its motion that considers both the aerodynamic characteristics of flight and the requirements for radar surveillance. The model describes the vehicle's motion, taking into account dynamic constraints, the parameters of the onboard synthetic aperture radar (SAR) system, and the conditions necessary for reliable radar acquisition of ground targets. A method for calculating the control law is proposed, aiming to minimize the total flight time of a given area while ensuring the guaranteed detection of all objects located within predefined zones of interest. A distinctive feature of this approach is its ability to simultaneously synthesize optimal UAV motion and control trajectories, considering the geometric parameters of the surveillance zone, radar coverage limitations, and the aircraft's operational characteristics. This facilitates or increases resource efficiency, reduces mission times, and enhances data acquisition reliability. The results of the computational experiments demonstrate the correctness of the mathematical model and confirm the high efficiency of the proposed method for solving routing and radar surveillance problems. The presented approach can be used to automate flight planning and UAV control for monitoring and reconnaissance missions.
This article presents an integrated approach to unmanned aerial vehicle (UAV) control based on a comprehensive mathematical model of its motion that considers both the aerodynamic characteristics of flight and the requirements for radar surveillance. The model describes the vehicle's motion, taking into account dynamic constraints, the parameters of the onboard synthetic aperture radar (SAR) system, and the conditions necessary for reliable radar acquisition of ground targets. A method for calculating the control law is proposed, aiming to minimize the total flight time of a given area while ensuring the guaranteed detection of all objects located within predefined zones of interest. A distinctive feature of this approach is its ability to simultaneously synthesize optimal UAV motion and control trajectories, considering the geometric parameters of the surveillance zone, radar coverage limitations, and the aircraft's operational characteristics. This facilitates or increases resource efficiency, reduces mission times, and enhances data acquisition reliability. The results of the computational experiments demonstrate the correctness of the mathematical model and confirm the high efficiency of the proposed method for solving routing and radar surveillance problems. The presented approach can be used to automate flight planning and UAV control for monitoring and reconnaissance missions.
Keywords:
UNMANNED AERIAL VEHICLE, INTEGRATED MOTION MODEL, CONTROL LAW, TRAJECTORY OPTIMIZATION, RADAR SURVEILLANCE, OBJECT DETECTION, MONITORING
UNMANNED AERIAL VEHICLE, INTEGRATED MOTION MODEL, CONTROL LAW, TRAJECTORY OPTIMIZATION, RADAR SURVEILLANCE, OBJECT DETECTION, MONITORING
