地形跟随系统中的自校正阵风减缓控制

本文对隐式多维极点配置广义最小方差自校正控制在地形跟随系统中的应用进行了研究。所采用的算法结构，可以满足飞机跟踪精度的要求，克服了选取加权因子的困难。并且，选取独立于加权因子的参数来实现在线调整加权因子，使闭环极点能够迅速地处于期望的位置上。仿真结果表明，系统的动态性能符合要求，跟踪误差也在允许的范围之内。

Self-Tuning Control for Gust Alleviation of Terrain Following System

Xiao et al2] and Liu et al5] in 1989 recommeneded self-tuning control schemes that can alleviate the gust effect on the trajectory of aircraft terrain following system.Unfortunately it is very difficult to choose proper weighting matrices in the design of the schemes proposed in Refs.2] and 5]. In this paper the authors propose a self-tuning control system that can by-pass the above-men- tioned difficulty.The authors propose an implicit generalized minimun variance pole-assignment algorithm for multi-input multi-output system.In the authors' algorithm,there are two sets of parameter estimation equations:one for establishment of control law and the other is independent of weighting matrices and thus allows regulating weighting matrices on line to realize pole-assignment.This algorithm has the following advantages: 1.It can quicken the convergence of weighting matrices,and thus quicken the convergence of poles to their desired positions. 2.Since there are the same data vectors in the above two sets of estimation equations,it is possible to perform parallel computation for pole-assignment and the control law establishment so as to decrease computation time. Because of the above-mentioned two advantages,the proposed algorithm requires only a little bit more computation time than the schemes in Refs.2] and 5] which did not require the two sets of equa- tions used in this paper. Simulation results show that a terrain following control process under 15m/s down burst has a nor- mal load error of less than 0.26g and an altitude error of less than 11m.It is evident that the above errors are tolerable6] and its dynamic properties satisfy the requirements specified by MIL-F-8785C.