上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (07): 1015-1021.

• 自动化技术、计算机技术 • 上一篇    下一篇

故障估计下子空间预测控制的快速梯度算法

王 建 宏   

  1. (景德镇陶瓷学院 机电学院，江西 景德镇 333403)
     
  • 收稿日期:2012-10-25 出版日期:2013-07-30 发布日期:2013-07-30
  • 基金资助:

    江西省科技厅青年科学基金资助项目(20122BAB211012)

Fast Gradient Algorithm in Subspace Predictive Control under Fault Estimation

WANG Jianhong
  

  1. (School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen 333403, Jiangxi, China)
  • Received:2012-10-25 Online:2013-07-30 Published:2013-07-30

摘要：

基于闭环系统观测数据，直接设计估计故障和预测控制器.在施加故障的上下限约束条件下，采用快速梯度算法估计故障.在此基础上，采用子空间预测控制策略求解一个带有线性矩阵不等式约束的优化问题.对于故障估计下子空间预测控制的最优化问题，构造了一组估计序列，以采用快速梯度算法求解.直升机悬停状态仿真实例表明，本文方法是有效的.
 
 

关键词: 故障估计, 子空间预测控制, 快速梯度算法, 线性矩阵不等式

Abstract:

This paper proposed novel direct design methods from closed loop measured data to estimate faults and design controllers. When imposing the lower and upper bounds constrain conditions on the faults, a fast gradient method was applied to solve it. Based on fault estimations, the subspace predictive control was proposed to solve an optimization problem with linear matrix inequality constraint. To this optimization problem in the subspace predictive control under fault estimations, a class of estimation sequences were constructed to use the fast gradient method. The helicopter simulation shows that the algorithm proposed is reliable and effective.
 

Key words: fault estimation, subspace predictive control, fast gradient algorithm, linear matrix inequality

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