Evaluation of a dual processor implementation for a fault inferring nonlinear detection systemThe design of a modified fault inferring nonlinear detection system (FINDS) algorithm for a dual-processor configured flight computer is described. The algorithm was changed in order to divide it into its translational dynamics and rotational kinematics and to use it for parallel execution on the flight computer. The FINDS consists of: (1) a no-fail filter (NFF), (2) a set of test-of-mean detection tests, (3) a bank of first order filters to estimate failure levels in individual sensors, and (4) a decision function. NFF filter performance using flight recorded sensor data is analyzed using a filter autoinitialization routine. The failure detection and isolation capability of the partitioned algorithm is evaluated. A multirate implementation for the bias-free and bias filter gain and covariance matrices is discussed.
Document ID
19880025305
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Godiwala, P. M. (Charles River Analytics, Inc. Cambridge, MA, United States)
Caglayan, A. K. (Charles River Analytics, Inc. Cambridge, MA, United States)
Morrell, F. R. (NASA Langley Research Center Hampton, VA, United States)