故障估计下子空间预测控制的仿射设计  

Affine Design in Subspace Predictive Control under Fault Estimation

作　　者：唐得志[1,2] 王道波[1] 王建宏[1] 盛守照[1] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016 [2]安徽工业大学电气信息学院,安徽马鞍山243002

出　　处：《南昌大学学报（工科版）》2013年第1期88-95,共8页Journal of Nanchang University(Engineering & Technology)

基　　金：航空科学基金资助项目(20101352015);南京航空航天大学基本科研业务专项基金资助项目(NP2011049)

摘　　要：基于闭环系统的输入-输出观测数据,无需建立系统和故障的状态空间模型,采用直接设计的方法来估计故障,并设计控制器。对于故障的估计,利用闭环系统中输入-输出关系建立一个参数化的最小二乘问题。在施加故障的上下限约束条件下,采用快速梯度算法来估计故障。在故障估计的基础上,引入子空间预测控制的思想,考虑控制输入为仿射形式下如何设计控制器。对于仿射形式中的仿射项和增益项,借助分离性原理,采用相互迭代的最速下降法求解该2类未知参数矢量。为了验证本文方法估计故障和设计控制器,以直升机悬停状态为例说明了该方法的有效性。This paper built new direct design methods from closed loop input/output measured datas to estimate faults and design controllers, which did not require building state-space model of the system and fault. The input/ output relationship of the closed loop system was used to parameterize least squares problems for estimating faults. When imposing the lower and upper bounds constrain conditions on the faults, the fast gradient method was applied to solve it. On basis of the fault estimations,the ideal of the subspace predictive control was introduced to consider how to design the controller when the control inputs have the affine forms. As to obtain some affine terms and gain terms,the mutually iterative steepest descent method by means of the separable principle was these unknown parameter vectors. By an example of helicopter, the efficiency of the proposed fault estimation and control strategy could be easily realized.

关 键 词：故障估计 子空间预测控制 仿射控制器 迭代算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]