基于MCS算法的飞机起落架仿真研究

提出了一种新的自适应控制律(MCS算法)来描述飞机起落架系统,分析了MCS算法(Minimal Control Synthesis Algorithm)的优点,建立了自适应控制起落架的数学模型和线性状态控制方程.基于起落架系统的稳定性和鲁棒性,采用MCS的控制方法对起落架系统进行设计,得到了起落架的控制模型.最后通过Matlab仿真软件对采用MCS算法控制的起落架模型进行了仿真分析,仿真结果表明:MCS算法能够使起落架的控制变量快速达到理想的参考模型输出并且控制曲线平滑,同时控制系统具有很好的鲁棒性能,增强了系统的抗干扰能力.

Simulation of Aircraft Landing Gear Based on Minimal Control Synthesis Algorithm

In this paper a new adaptive control law for describing aircraft landing gear using minimal control synthesis algorithm is proposed.The article analyzes the virtues of MCS(Minimal Control Synthesis Algorithm)and a mathematical model and linear state control equation of adaptive control landing gear are established. Based on the stability and robustness of landing gear system,aircraft landing gear using MCS algorithm is designed and the control model is acquired.At last, the adaptive control landing gear model using MCS algorithm is simulated through Matlab.Simulation results show: MCS algorithm can make the output of aircraft landing gear approach to the output of reference model rapidly and control curves change smoothly,meanwhile,the system controlled by MCS preserve a good performance of robustness and the ability of anti-jamming has been greatly improved.