Attitude Control of Twelve Rotors Based on Improved Genetic Algorithm
In order to better solve the attitude control problem of multi-rotor UAV,an improved genetic algorithm is used to optimize the PID controller,mainly improving the selection of parent populations and algorithm termination conditions through multiple fitness evaluation functions as the starting point for improvement and the optimized controller is applied to the attitude and position control of multi-rotor aircraft to improve the performance of UAV.MATLAB/Simulink is used for model creation and simulation,and the simulation results show that compared with the simulated PID controller,the average rise time of the improved genetic algorithm PID controller is shortened by 0.837 seconds,the average overshoot is reduced by 0.15,and the average adjustment time is shortened by 1.538 seconds.
万方数据
维普
