A New Decoupling Matrix Construction Method for Fault Detection and Isolation of a Redundant Strapdown Inertial Measurement Unit

Fu, Wen Xing; Zhang, Tong; Ren, Zi Jun

doi:10.2322/tjsass.60.60

Cited by 3 publications

(7 citation statements)

References 5 publications

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“…For comparison, the simulation signals are diagnosed through current outliers eliminating methods and FDI methods, and the results are shown in Table 8. The detection methods used for comparison include 3σ criterion-based method [36], Grubbs criterion-based method [37], GLT-method [27], OPT-based method [26], and Chi-square-based method [23]. Comparing Tables 7 and 8, the PCD of the proposed method remains slightly higher than previous methods.…”

Section: The Comparison and Analyzing Of Different Methodsmentioning

confidence: 99%

“…To verify this, two approaches are conducted to diagnose transient faults, noise faults, constant drift faults, and multiplicative faults: the first one is that outlier points are marked at first through Grubbs criterion and replaced by the points calculated through cubic spline interpolation method [35], then the processed signal will be diagnosed by several current FDI methods; the second way is to use the new method directly. The FDI methods used in the first strategy include the GLT-based method [27], OPT-based method [26], and Chi-square based-method [23].…”

Section: The Comparison and Analyzing Of Different Methodsmentioning

confidence: 99%

“…Due to the limitation of the MEMS gyro structure, a large number of anomaly samples of a certain mode are difficult to obtain in practical experiments. Referring to other relevant literature [22,26,27], the signals from the practical experiment are injected with simulation anomaly signals. The following experiments use these signals as samples to test the performance of the new method.…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…The output signal and residual value of a single gyro are shown in Figure 7. [22,26,27], the signals from the practical experiment are injected with simulation anomaly signals. The following experiments use these signals as samples to test the performance of the new method.…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…A set of FDI methods have already been applied in the RINS successfully, which includes the Chi-square test [23,24], the network-based method [25], and the parity space method. The parity space method includes the optimal parity vector test (OPT) [26], the generalized likelihood test (GLT) [27,28], and the singular value decomposition (SVD) method [21,22,[29][30][31]. Among these methods, the methods based on the Chi-square test are subjected to the filtering algorithm performance.…”

Section: Introductionmentioning

confidence: 99%

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An Anomaly Diagnosis Method for Redundant Inertial Measurement Unit and Its Application with Micro-Electro-Mechanical System Sensors

Song

Shi

2019

Applied Sciences

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The application of the micro-electro-mechanical system inertial measurement unit has become a new research hotspot in the field of inertial navigation. In order to solve the problems of the poor accuracy and stability of micro-electro-mechanical system sensors, redundant design is an effective method under the restriction of current technology. Redundant data processing is the most important part in the micro-electro-mechanical system redundant inertial navigation system, which includes the processing of anomaly data and the fusion estimation of redundant data. To further improve the reliability of the micro-electro-mechanical system redundant inertial measurement unit, an anomaly detection, isolation, and recognition method for data anomalies is proposed. The relationship between the parity space method detection function and the deterioration degree of anomaly data is mathematically deduced. The parity space method detection functions of different anomalies are analyzed, and five indicators are designed to quantitatively analyze the detection function values. According to these indicators, the detection and recognition method are proposed. The new method is tested by a series of simulation experiments.

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Section: The Comparison and Analyzing Of Different Methodsmentioning

confidence: 99%

Section: The Comparison and Analyzing Of Different Methodsmentioning

confidence: 99%

Section: Simulation Experimentsmentioning

confidence: 99%

Section: Simulation Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Anomaly Diagnosis Method for Redundant Inertial Measurement Unit and Its Application with Micro-Electro-Mechanical System Sensors

Song

Shi

2019

Applied Sciences

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ALPF-GLRT based fault detection method for small faults applied to redundant IMUs

Li¹,

Chen²,

Wu³

et al. 2021

Meas. Sci. Technol.

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Since small faults exhibit a very close magnitude to sensor noises, the probability of missing detection (PMD) in existing methods will increase sharply in the presence of small faults. To address such a problem, this paper proposes a novel fault detection method for small faults applied to redundant IMUs. First, this method introduces an adaptive low-pass filter (ALPF) into the general likelihood ratio test (GLRT) by filtering the parity residuals of the GLRT model, thereby reducing the disturbance of sensor noises on fault detection. Subsequently, since the introduction of ALPF leads to the changes of the parity residual statistics, the covariance of parity residual should be recalculated at the respective sample instant. Lastly, to theoretically prove the superiority of the proposed method for small faults, the minimum detection bias (MDB) is derived and calculated, thereby validating that the MDB of the proposed method is lower than that of the conventional GLRT method. As indicated from the simulation results, the PMD of the proposed method decreases significantly for small faults compared with the GLRT method and the Monte Carlo PMD of the proposed method is 0.1% under the fault with the magnitude of 1 sigma, which demonstrates the effectiveness of the proposed method.

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Fault Detection and Isolation for Redundant Inertial Measurement Unit under Quantization

Zhang¹,

Wang²,

Fu³

2018

Applied Sciences

Self Cite

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Fault detection and isolation with redundant strapdown inertial measurement unit is critical for ensuring the reliability of the guidance or navigation system in the fields of both aeronautics and astronautics. Although the parity space approach is used widely, it cannot detect the soft fault which affects navigation performance under pulse quantization. This paper develops the three-channel filters to detect the soft fault and conducts theoretical implementation. The constraint conditions of their parameters are explored and the influence of the weight of different ratios is analyzed. The Monte Carlo simulation is carried out in order to verify the validity of the fault detection and isolation method. The simulation results and their analysis provide a theoretical reference for fault detection and isolation with redundant strapdown inertial measurement unit.

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A New Decoupling Matrix Construction Method for Fault Detection and Isolation of a Redundant Strapdown Inertial Measurement Unit

Cited by 3 publications

References 5 publications

An Anomaly Diagnosis Method for Redundant Inertial Measurement Unit and Its Application with Micro-Electro-Mechanical System Sensors

An Anomaly Diagnosis Method for Redundant Inertial Measurement Unit and Its Application with Micro-Electro-Mechanical System Sensors

ALPF-GLRT based fault detection method for small faults applied to redundant IMUs

Fault Detection and Isolation for Redundant Inertial Measurement Unit under Quantization

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