基于改进PID的倾转翼飞机过渡控制系统研究  

Research on Transition Control System of Tilting Wing Aircraft Based on Improved PID

作　　者：李少帅 王琦[2] LI Shao-shuai;WANG Qi(College of Information Engineering,Nanchang Hangkong University,Nanchang Jiangxi 330063,China;College of Aircraft Engineering,Nanchang Hangkong University,Nanchang Jiangxi 330063,China)

机构地区：[1]南昌航空大学信息工程学院,江西南昌330063 [2]南昌航空大学飞行器工程学院,江西南昌330063

出　　处：《计算机仿真》2024年第8期31-36,57,共7页Computer Simulation

基　　金：江西省科技厅重点研发计划项目(20151BBE50026);南昌航空大学研究生创新专项基金项目(YC2021-032)。

摘　　要：针对倾转翼飞机过渡模式下工作点切换过程的控制,提出了一种禁忌退火混合粒子群(TAHPSO)算法优化模糊PID控制的倾转翼飞机过渡切换动态控制策略。上述控制策略将模糊控制与防抖切换控制相结合,同时将标准粒子群(PSO)算法与禁忌搜索、退火机制融合,采用所提算法优化切换模糊PID控制参数,强化全局寻优能力,提高控制效率。为了验证上述控制策略的有效性,建立了倾转翼飞机过渡模式仿真模型。仿真结果表明,上述控制策略使倾转翼飞机在过渡模式下的最大高度波动降低40%,切换时刻旋翼拉力最大抖动幅度降低70%、升降舵附加升力最大抖动幅度降低86.3%,提高了系统的控制稳定性。Aiming at the control of the operating point switching process in the tilt-wing aircraft transition mode,a tabu and annealing hybrid particle swarm optimization(TAHPSO)algorithm is proposed to optimize the fuzzy PID control strategy for the transition switching dynamic control of tilting wing aircraft.This control strategy combines fuzzy control with anti-shake switching control.The standard particle swarm optimization(PSO)algorithm is combined with tabu search and annealing mechanism.The algorithm is used to optimize the fuzzy PID control parameters,strengthen the global optimization ability and improve the control efficiency.In order to verify the effectiveness of the control strategy,a simulation model of the tilt-wing aircraft transition mode is established in this paper.The simulation results show that the control strategy can reduce the maximum height fluctuation of tilt-wing aircraft in transition mode by 40%,the maximum jitter amplitude of rotor pull at switching time by 70%,and the maximum jitter amplitude of elevator additional lift by 86.3%,the control strategy improves the control stability of the system.

关 键 词：倾转翼 动态控制 防抖切换控制 禁忌退火混合粒子群 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]