摘要
近空间飞行器(near-space vehicle,NSV)的飞行包络很大,特别在高超声速飞行过程中,系统将具有强烈的非线性和快速时变性。而且,由于机体和发动机高度一体化,气动和推进系统具有很强的耦合特性,这些都对控制器的设计提出了很大的挑战。考虑到NSV爬升和巡航的任务要求,首先分析了近空间飞行器的气动结构和动力配置,提出了NSV在高超声速条件下的气动/发动机一体化纵向运动控制模型,并采用输入-输出反馈精确线性化方法的思想将控制模型转化成仿射形式。结合一类不确定非线性系统,提出了一种基于滑动面的广义预测控制(generalized predictive control,GPC)方法,同时利用T-S模糊系统的通用逼近性,设计模糊自适应律来消除系统不确定性的影响,并通过Lyapunov方法分析了闭环系统的控制特性。这种方法被用于NSV纵向运动飞/推一体化控制中,仿真实验验证了该方法的有效性。
As the flight envelop of near-space vehicle（NSV） is extremely large,the system may have strong nonlinearity and fast time-variability,especially when the velocity is hypersonic.Meanwhile,because of the airframe/engine integrated design,the aerodynamic and the propulsion have strong coupling.Both are big challenges for the controller design.Considering the flight task of NSV,the aerodynamic model and the engine system are analyzed first.Then the integrated aerodynamic/engine control model for hypersonic longitudinal motion of NSV is also studied and transformed into an affine nonlinear system using the input-output feedback linearization method.After that,for a class of uncertain nonlinear systems,a GPC（generalized predictive control） strategy based on sliding-mode surface is derived and an adaptive law is proposed to eliminate the systems＇ uncertainty using the universal approximation of T-S fuzzy system,then the control character of this method is analyzed via Lyapunov method.Finally,this strategy is used as an integrated flight/propulsion control law for the longitudinal motion of NSV,and the result of simulation experiment shows the effectiveness of fuzzy adaptive GPC.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第1期127-133,共7页
Systems Engineering and Electronics
基金
国家自然科学基金重大研究计划(90716028
60974106)
江苏省普通高校研究生科研创新计划(CX09B-082Z)
南京航空航天大学博士学位论文创新与创优基金(BCXJ09-05)资助课题
