摘要
针对导弹自动驾驶仪控制参数设计问题及耦合对控制系统设计的影响,提出了一种基于PSO算法的三通道耦合状态空间控制参数设计方法。建立了自动驾驶仪三通道全状态耦合线性化模型,通过对线性化模型的建立、控制系统性能指标的选取、PSO算法的参数设置及适应度函数的编写,实现了基于PSO算法对自动驾驶仪控制参数的自动设计。仿真结果表明,该方法设计的控制参数优于三通道解耦独立设计的控制参数,设计结果具有良好的动态品质和鲁棒性,并具有较快的收敛速度和良好的全局搜索能力,是一种有效的控制参数自动设计方法。
In this paper,a parameter tuning method based on particle swarm optimization（ PSO） algorithm is proposed,which was applied to optimize control parameters of a three-channel coupling autopilot. First,a three-channel coupling model is built. Then the parameter of PSO algorithm is set up and a fitness function of PSO algorithm is defined. The PSO algorithm is used in the optimization of autopilot controller such that automatic tuning of the autopilot controlling parameters can be achieved. Simulation results show that the proposed method is more effective than the method based on single-channel autopilot and has achieved robust dynamic performance. In addition,the proposed method has a faster convergence speed and a better global searching capability,which could save time and reduce the cost. So it can be concluded that the method is effective in automatic design of parameters.
出处
《飞行力学》
CSCD
北大核心
2016年第1期63-67,共5页
Flight Dynamics
基金
航空科学基金资助(20100196002)
关键词
PSO算法
三通道耦合
自动驾驶仪
参数优化
PSO algorithm
three-channel coupling
autopilot
parameter optimization
