فهرست مطالب مانا غنی فر

In this article, a new closed-loop algorithm is presented to generate an optimal angular trajectory for a given satellite to reach the desired final point. Using the capabilities of artificial neural networks, this algorithm can find the best trajectory to reach the final setpoints based on the dynamic behavior of the system and the preset controller capability by using the desired final values of the trajectory and the values of the system state variables at each simulation time. In the presence of external disturbances, this closed-loop intelligent trajectory generation algorithm shows advanced adaptive performance, which allows it to develop the best alternative trajectory to achieve the final setpoint and return the system to the main trajectory. Despite the fact that this algorithm is able to restore the main trajectory, it is also capable of preventing unreasonable control efforts by considering the control properties of the system. This intelligent algorithm of angular path generation shows high accuracy and effective performance after simulations are performed in the MATLAB software environment with predefined external disturbances.

n this paper, the use of PID controller to control a model of a quadrotor with nonlinear dynamics is investigated. In this regard, after presenting the designed nonlinear dynamic quadrotor model, four distinct methods for adjusting the parameters of this controller are examined and compared. These four techniques, which are classified into two categories, online and offline, include online techniques of neural network and fuzzy inference, and offline techniques of genetic and particle swarm optimization algorithms. Finally according to the results of numerical simulations and the results of comparing a predefined squared cost function calculated in each case, in the presence of a relatively large disturbance with amplitude and frequency that is selected in the whole time simulation affects the system, shown in general, the order online algorithms, especially despite the mentioned disturbance, have better performance in controlling the dynamics of the system because they update the control coefficients of the closed-loop system momentarily in each step of numerical simulation.