FOPID Control of Quadrotor Based on Neural Networks Optimization and Path Planning Through Machine Learning and PSO Algorithm

In this paper, control of the nonlinear dynamics of quadrotor with the help of FOPID controllers was focused, moreover, this literature used neural networks method is used for tuning of the controller. In the next section, finding the optimal path which satisfies the constraints of speed and guarantees the safety and feasibility of the trajectory has been studied. For path planning, machine learning algorithm based on neural networks is used to emulate the controlled plant to raise the computational efficiency. For optimizing the path particle swarm optimization algorithm is considered. The results show the accurate and appropriate performance of the mentioned algorithm.