基于模糊前馈的ASV再入姿态的模糊鲁棒跟踪控制方法  

Fuzzy Robust Tracking Control for Aerospace Vehicle's Reentry Attitude Based on Fuzzy Feedforward

作　　者：王玉惠[1] 吴庆宪[1] 姜长生[1] 黄国勇[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《模式识别与人工智能》2007年第6期732-739,共8页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.90405011);国家自然科学基金重点项目(No.90716028)资助

摘　　要：提出一种模糊鲁棒跟踪控制方法,并应用于研究空天飞行器(ASV)再入段姿态角的跟踪问题.基于 ASV再入段存在外界干扰的不确定姿态动态系统的 T-S 模糊模型,考查姿态角跟踪参考信号的跟踪误差,引入模糊前馈,得出跟踪误差指数稳定的约束条件.并在镇定控制是前馈控制的先决条件的前提下,研究模糊前馈跟踪控制器和具有极点约束的 H_∞模糊镇定控制器的设计问题,基于 Matlab 的线性矩阵不等式(LMI)和模糊逻辑控制(FLC)工具可实现此问题的求解.仿真结果验证本文算法的有效性.A method for fuzzy robust tracking control is proposed, which is used for solving aerospace vehicle＇s （ASV＇ s） attitude tracking problem during reentry. Based on T-S fuzzy model of uncertain reentry attitude dynamics with external disturbance, the tracking errors of reference signals by attitude angle tracking are studied. The constraint of the exponential stability of the tracking error is obtained by introducing fuzzy feedforward. With the premise of stabilization control being the basis of tracking control, a fuzzy feedforward tracking controller and a H∞ fuzzy stabilization controller with pole constraints are designed. The control problem can be solved by using LMI and FLC tools of Matlab. The simulation results demonstrate the effectivity of the proposed method.

关 键 词：空天飞行器(ASV) T-S模糊模型 模糊前馈 跟踪控制 H∞指标 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] V249[自动化与计算机技术—控制科学与工程]