Research on precise route control of unmanned aerial vehicles based on physical simulation systems

In order to understand the precise route control system of unmanned aerial vehicles, the author proposes a research on precise route control of unmanned aerial vehicles based on wireless sensor networks and physical simulation. The author first introduces the definitions of various coordinate systems and related motion parameters of unmanned aerial vehicles. On this basis, the nonlinear dynamic equations and kinematic equations of the unmanned aerial vehicle were obtained through force analysis. Secondly, based on wireless sensor networks, a route control system for unmanned aerial vehicles was designed. There may be deviations between the actual route and the planned route of drones during flight, which not only reduces the quality of operations but also affects operational efficiency. Wireless sensor network is a technology closely integrated with unmanned aerial vehicles, which can be used to control the route of unmanned aerial vehicles. The system consists of four parts: unmanned aerial vehicle platform, sensor nodes, convergence nodes, and control center. The control of the route is completed through a two-dimensional coordinate system following algorithm. Finally, the drone will undergo flight tests before and after the installation of this route control system. The drone before the installation of this system will use traditional route control methods. There are two types of planned routes: straight and curved, with the curve being a circular shape with a radius of 5 km; Record the deviation value between the actual route and the planned route every 150 s during the flight, and compare the control accuracy of the two methods on the route. The experimental results show that the wireless sensor network is more stable in tracking straight and curved routes, and has high accuracy in route control.