混合动力倾转旋翼机飞行包线跟踪控制研究OA

To improve the flight envelope tracking accuracy of hybrid electric tiltrotor aircraft,this paper built a system model of DM-i hybrid-electric tiltrotor aircraft and proposed a genetic algorithm-optimized cascaded PID mode-switching tracking strategy.First,a hybrid electric tiltrotor aircraft system model including a rotor,fixed-wings and a horizontal tail,a three-degree-of-freedom longitudinal dynamics aircraft model,and a hybrid power system model consisting of an engine,a generator,a motor,a battery,a clutch,and power coupling device were built.For the typical tiltrotor flight envelope,including vertical takeoff,climb,cruise,descent,and vertical landing,a mode-switching strategy was developed on flight phases and battery state of charge.Moreover,a genetic algorithm-optimized cascaded PID tracking control method was proposed.The outer loop corrected speed commands using position errors,while the inner loop generated desired acceleration from speed errors to obtain nacelle tilt angle and rotor required speed/torque.With the sum of range and altitude tracking relative root mean square errors as the optimization objective,PID control parameters were designed using a genetic algorithm.Simulation results demonstrate the hybrid power system model meets the flight requirements of the tiltrotor aircraft.Compared to traditional PID algorithms,the proposed control method achieves stable tracking of range and altitude across the entire flight envelope,reduces tracking errors,and exhibits robust performances.