Guidance and distributed control of the networked UAVs

he control and guidance ability of unmanned aerial vehicles (UAVs), as one of the modern tools of aerospace systemstechnology, has become an important priority in the air defense field of any country. In this paper, a group of the networked UAVs is considered that follow closely the specifiedobjectives.During the mission,the UAVs communicate with each other and exchange important information such as their velocities and positions with other agents in the network. Therefore, the controller is designed as a distributed approach. Due to the networked nature of this system, to reduce the computational load, the distributed optimization algorithm and model predictive control method are utilized to implement the network structure. In the following, many challenges such as keeping the desired arrangement, communication delay and optimal energy consumption are raised during the operation to reach the mission purpose. It is necessary that the designed controller holds the appropriate performance in the presence of the aforementioned challenges. Finally, simulations are carried out in the MATLAB software for investigating the performance of the proposed approach. The achieved results, despite the mentioned challenges in the networked systems, indicate a higher rate of convergence and a better ability to delay tolerance compared to the previous methods.