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�������պ����ѧѧ�� 2011, Vol. 37 Issue (6) :748-752    DOI:
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����ģ����ż���̵�PL/INS����ϵͳ�������
����1, �λ�1, ���ר1, ������2*
1. �������պ����ѧ �Զ�����ѧ���������ѧԺ, ���� 100191;
2. �������պ����ѧ ���˼�ʻ����������о���, ���� 100191
Fuzzy parity equation based fault diagnosis approach for PL/INS navigation system
Jin Xing1, Song Hua1, Qiu Hongzhuan1, Wang Yangzhu2*
1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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ժҪ �����һ��α����(PL, Pseudolite)/���Ե���(INS, Inertial Navigation System)��ϵ���ϵͳ�����ʶ�𷽷�.������PL�ij������ϼ�����ѧģ��,����ģ����ż���̷�����PL�ij������Ͻ�����ϡ�����Ͳ���ʶ��.����Takagi-Sugeno(T-S)ģ��ģ������PL/INS��ϵ���ϵͳ,���ھֲ����Ի�ģ�ͽ���ȫ������ż����,������ż���̵IJв�����ں�,�õ�ȫ�ֲв�.��ϲв����ÿ������˲����й��ϲ���ʶ��,�����˲���ʶ���Լ������.����������:��Ե���ϵͳ�ж��PL�ź�ͬʱ�������ֹ��ϵ����,�˷�������Ч������,����׼ȷʶ�������ģ�Ͳ���.
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Abstract�� A method for multiple faults identification for pseudolite (PL)/ inertial navigation system (INS) tightly coupled navigation system was presented. The failures associated with PL and their modes were analyzed, what is more, fuzzy parity equations were used to identify the PL failure modes. First of all, the PL/INS tightly coupled navigation system was described by a Takagi-Sugeno (T-S) fuzzy model, and then the full de-coupled parity equations were applied to the local linear models. The faults can be detected by the sum of the local residuals and Kalman filter algorithm was used for identifying the parameters of failure modes. Besides, the necessary conditions for parameter identification were given. The simulation results show that, in case of multiple signal faults and multiple types of fault in PL simultaneously, this method can effectively detect them and precisely identify the parameters of failure modes.
Keywords�� pseudolite/inertial navigation system coupled navigation system   T-S fuzzy model   fuzzy parity equation   multiple faults diagnosis     
Received 2010-03-16;
About author: �� ��(1984-),��,�ӱ��İ���,˶ʿ��, jinxingbuaa@gmail.com.
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����, �λ�, ���ר, ������.����ģ����ż���̵�PL/INS����ϵͳ�������[J]  �������պ����ѧѧ��, 2011,V37(6): 748-752
Jin Xing, Song Hua, Qiu Hongzhuan, Wang Yangzhu.Fuzzy parity equation based fault diagnosis approach for PL/INS navigation system[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(6): 748-752
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