文章摘要
引用本文:袁博,杨军,杨博远.控制性能精确可控的自适应鲁棒容错控制方法研究[J].导航定位与授时,2018,5(1):48-53 本文二维码信息
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控制性能精确可控的自适应鲁棒容错控制方法研究
Research on Adaptive Robust Fault-Tolerant Control Method with Accurate and Controllable Control
  
DOI:
中文关键词:  容错控制  诊断误差  参数空间  变结构  模型参考
English Keywords:Fault tolerant control  Diagnosis error  Parameter space  Variable structure  Model reference
基金项目:国家自然科学基金联合基金项目(SupportbyNSAF)(U1630127)
作者单位
袁博 西北工业大学航天学院,西安 710072 
杨军 西北工业大学航天学院,西安 710072 
杨博远 中国科学技术大学自动化系,合肥 230027 
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中文摘要:
      一般而言,实现控制性能约束精确可控与满足控制系统鲁棒的要求之间存在着难以两全的矛盾。容错控制也是如此,精准的控制性能要求与对故障诊断误差的鲁棒性之间也存在着这样的矛盾。针对这一问题,提出了将参数空间方法、变结构理论以及模型参考自适应理论相结合的自适应鲁棒容错控制方法。该方法的基本思路是将容错控制系统分为内外两部分,内部为基于参数空间的容错控制系统,可以灵活适应精确的控制性能约束(对应极点配置)和一定范围的控制性能约束(对应区域极点配置),外部则为基于变结构模型参考自适应方法的控制系统,主要目的是提高容错控制系统的鲁棒性。通过仿真证明了这种自适应鲁棒容错控制方法既能保证系统满足精确的控制性能约束,又能保证对故障诊断误差有较高的鲁棒性。
English Summary:
      Generally speaking,there is a contradiction between the requirements of precisely controlled control performance constraints and robustness of control system. The same is true for fault-tolerant control,and there is also a contradiction between the precise control performance requirements and the robustness of the fault diagnosis errors. To solve this problem,an adaptive robust fault tolerant control method is proposed,which combines parameter space method,variable structure theory and model reference adaptive theory. The basic idea of this method is to divide the fault-tolerant control system into two parts,the internal fault tolerant control system based on the parameter space and the external control system based on variable structure model reference adaptive method. The internal one can flexibly adapt to precise control performance constraints(corresponding pole assignment) and a certain range control performance constraints(corresponding to regional pole assignment),while the external one can improve the robustness of fault tolerant control system. It is proved by simulation that the adaptive robust fault-tolerant control method can ensure that the system meets the requirement of both the exact control performance constraints and the robustness of fault diagnosis errors.
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