Design of Aircraft Flight Trajectory Adaptive Control System Based on Improved Slap Swarm Algorithm
During actual flight processes,aircraft are prone to external disturbances such as wind and air flow,which caused devi-ations from desired trajectory,resulting in errors in aircraft's state information obtained from sensors.To feedback aircraft's flight statuses in time,a flight trajectory adaptive control system based on an improved salp swarm algorithm was designed.The hardware system was optimized through the retrofit of attitude angle measurement sensors,position measurement sensors,and an airspeed indi-cator.The internal structure of the processor and trajectory controller was adjusted.Based on the aircraft's flight mission,the desired trajectory was generated as the system's control object.The improved salp swarm algorithm was utilized to adaptively detect the aircraft's pose and calculate environmental parameters such as air pressure and wind speed.By considering the influences of flight en-vironment disturbances,the solution results for the aircraft's trajectory control signal were derived by comparing the current aircraft pose with the target trajectory.The adaptive control commands were then operated to achieve the functionality of the system's adap-tive trajectory control.Experimental results show that the designed system achieves an average deviation of 0.8 km and 2.1 km for straight-line and curved trajectory control of the aircraft,respectively,with an aircraft's oscillation amplitude of 2.5 dB.
improved slap swarm algorithmaircraft trajectoryaircraft postureattitude angle measurement sensoradaptive control
NETL
NSTL
万方数据
