1
Faculty of Aerospace Engineering, Malek Ashtar University of Technology, Iran.
2
Malek Ashtar University of Technology
Abstract
In this paper, the guidance and control system of a quadrotor to track the trajectory is evaluated. Control algorithms have been developed with the aim of the hardware implementation capability and considering the power consumption and processing limitation of the quadrotor. For this purpose, a proportional–derivative controller (PD) that the control coefficients are optimized by a genetic algorithm (GA) to control both the outer loop(position control) and the inner loop (attitude control) is implemented. Due to the disturbances and uncertainties, the effect of fuzzy control replacement on the quadrotor performance in guidance and control loops has been evaluated. The simulation results show that replacing the fuzzy controller in the guidance loop improves trajectory tracking. Also, the performance of this controller for the quadrotor in the presence of the disturbance and uncertainties was proved. a a a a a a a a a a a a a a a a a
Ahangarani Farahani, A., Arefkhani, H., Hosseini, S. M., & Sadati, H. (2024). Attitude and Position Controller Design of Quadrotor based on Evolutionary Optimization and Fuzzy for Trajectory Tracking. Aerospace Knowledge and Technology Journal, 13(1), -.
MLA
Alireza Ahangarani Farahani; Hamed Arefkhani; Sayyed Majed Hosseini; Hossein Sadati. "Attitude and Position Controller Design of Quadrotor based on Evolutionary Optimization and Fuzzy for Trajectory Tracking". Aerospace Knowledge and Technology Journal, 13, 1, 2024, -.
HARVARD
Ahangarani Farahani, A., Arefkhani, H., Hosseini, S. M., Sadati, H. (2024). 'Attitude and Position Controller Design of Quadrotor based on Evolutionary Optimization and Fuzzy for Trajectory Tracking', Aerospace Knowledge and Technology Journal, 13(1), pp. -.
VANCOUVER
Ahangarani Farahani, A., Arefkhani, H., Hosseini, S. M., Sadati, H. Attitude and Position Controller Design of Quadrotor based on Evolutionary Optimization and Fuzzy for Trajectory Tracking. Aerospace Knowledge and Technology Journal, 2024; 13(1): -.
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