摘要
利用基于最小模型误差法和线性不连续跳跃多重打靶法建立的非线性辨识法，辨识了飞机起飞着陆过程的非线性动态模型。对于包含复杂非线性项的动态系统，本方法可以从实际试验测量的系统非线性数据，确定飞机处于地面效应影响运动过程的系统模型，而不需要预先详细描述系统的非线性形式。算例表明该方法对于原始近似动态系统的状态估计是足够精确的。
A nonlinear identification algorithm base on the minimum model error(MME) approach and multiple shooting method is used to identify nonlinear dynamic model during aircraft take off and landing affected by ground effects.The method may be employed to determine dynamic model of system from actual experimental nonlinear data,where complicated nonlinear terms are presented, and it works without prior assumptions regarding the form of the nonlinear. Estimates of the state histories,as well as the model errors, are obtained as part of the solution of a two point boundary value problem. The state estimates are continuous and optimal in a global sense. The optimal state estimate is determined on the basis of the assumption that consistent estimates of state must match the available measurement with a residual error covariance which is approximately equte to the known measurement error covariance. The example shows it to be quite accurate for state estimation of preliminary dynamic system.
出处
《飞行力学》
CSCD
北大核心
1997年第4期30-34,共5页
Flight Dynamics
关键词
模型误差法
地面效应
参数辨识
飞机
起飞
着陆
Minimum model error approach Ground effect Parameter identification
