摘要
起落架是飞机起飞、着陆、滑跑和地面停放的重要装置。为了提高飞机通过恶劣跑道的滑跑性能,研究了对起落架应用主动控制技术来实现飞机滑跑性能的优化。首先,将飞机视为刚体,建立了经典的二质量块模型。然后,应用最优控制理论和粒子群优化算法在Simulink环境下搭建模型和进行多目标优化计算,寻找广义PID(Proportional Integral Derivative)参数值。最后,通过计算机仿真研究了飞机通过弹伤修复跑道的响应,得出结论。基于粒子群算法的多目标最优PID控制是一种有效的控制方法,它可有效降低机身的受载,显著地改善飞机的地面滑跑性能。
The landing gear is an important device that can enable airplane to take off, land, run and park. In order to improve the running performance of airplane which can run through bad runway, this paper studied the landing gear application of active control technology to achieving the optimization of the performance of airplane running. First of all, we assumed the airplane to be a rigid body and established the classic two mass model. Then, we applied optimal control theory and particle swarm optimization algorithm to build model and do muhiobjective opti- mization calculations to search for generalized PID (Proportional Integral Derivative) parameter value in Simulink environment. Finally, we drew a conclusion through computer simulation of the response of airplane running through the runway that had been bombed and repaired. The multi-objective optimal PID control based on particle swarm optimization algorithm is an effective control method; it can effectively reduce the load and significantly improve the performance of running.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2013年第2期223-228,共6页
Journal of Northwestern Polytechnical University
关键词
主动控制起落架
粒子群算法
最优控制
多目标最优
PID控制
仿真计算
aircraft, algorithms, calculations, computer simulation, control, landing gear ( aircraft), mathematical models, muhiobjective optimization, particle swarm optimization (PSO)
active control of landing gear, optimal control, PID ( Proportional Integral Derivative) control