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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。
Landing gear is an important device for taking off, landing, sliding and parking on the ground. In order to improve the performance of the airplane running through the bad runway, the optimization of aircraft slip performance by using active control technology on the landing gear was studied. First, consider the aircraft as a rigid body, the establishment of a classic two-mass model. Then, optimal control theory and Particle Swarm Optimization (PSO) are used to build models and perform multi-objective optimization computations in Simulink environment to find the value of Proportional Integral Derivative. Finally, the computer simulation studies the response of the airplane to the runway repaired by the bullet and draws a conclusion. Multi-objective optimal PID control based on PSO is an effective control method, which can effectively reduce the fuselage load, significantly improve the aircraft’s ground slip performance.