Design intelligent integral Back-step controller and path planning for Quadrotor by Swarm optimization algorithm

In this paper, an intelligent integral Back-step controller is used to control the position of the quadrotor. Using a new strong particle swarm optimization algorithm, the optimal system response is Achieved by changing constant design values in the controller. Then, the optimal path for the quadrotor is designed using the algorithmic method of particle swarm and considering the predetermined obstacles in the three-dimensional environment, which ensures safety flight. Also, the shortest path between the origin and destination as the optimal path is determined. Finally, the path generated by the algorithm as the optimal path of planning. Thus, in addition to optimizing the control parameters in the controller, the quadrotor path is also optimized using the algorithm to minimize energy consumption from source to destination. Finally, by simulating the system in MATLAB environment, the system response to the desired input in a limited time was plotted and investigated.