Exploration of BD2/SINS Deeply Integrated Navigation in CZ-7 Launch Vehicle Guidance System

Tang, Yi; Zhong, Wenan; Shou, Junming; Hu, Wenfeng

doi:10.1007/978-3-642-54740-9_55

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…More recently, the Chinese launcher Long March 7 (CZ-7) has been suited with a loosely coupled GNSS/INS system fulfilling the role of primary navigation [54].…”

Section: Gnss In Launch Vehicle Navigationmentioning

confidence: 99%

Architectural elements of hybrid navigation systems for future space transportation

Trigo

Theil

2017

CEAS Space J

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The fundamental limitations of inertial navigation, currently employed by most launchers, have raised interest for GNSS-aided solutions. Combination of inertial measurements and GNSS outputs allows inertial calibration on-line, solving the issue of inertial drift. However, many challenges and design options unfold. In this work we analyse several architectural elements and design aspects of a hybrid GNSS/INS navigation system conceived for space transportation. The most fundamental architectural features such as coupling depth, modularity between filter and inertial propagation, and open-/closed-loop nature of the configuration, are discussed in the light of the envisaged application. Importance of the inertial propagation algorithm and sensor class in the overall system are investigated, being the handling of sensor errors and uncertainties that arise with lower grade sensory also considered. In terms of GNSS outputs we consider receiver solutions (Position and Velocity) and raw measurements (Pseudorange, Pseudorange-rate and Time-Differenced Carrier Phase). Receiver clock error handling options and atmospheric error correction schemes for these measurements are analysed under flight conditions. System performance with different GNSS measurements is estimated through covariance analysis, being the differences between Loose and Tight coupling emphasised through partial outage simulation. Finally, we discuss options for filter algorithm robustness against non-linearities and system/measurement errors. A possible scheme for Fault Detection, Isolation and Recovery is also proposed.

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“…More recently, the Chinese launcher Long March 7 (CZ-7) has been suited with a loosely coupled GNSS/INS system fulfilling the role of primary navigation [54].…”

Section: Gnss In Launch Vehicle Navigationmentioning

confidence: 99%

Architectural elements of hybrid navigation systems for future space transportation

Trigo

Theil

2017

CEAS Space J

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“…The reference system commonly consists of an Inertial Navigation System (INS) or Strap-down Inertial Navigation System (SINS), which are sophisticated electromechanical systems that continuously provide, via the dead reckoning, position, orientation and velocity of a moving object (e.g., aircraft, missile or ship), using motion (accelerometers) and rotation (gyroscopes) sensors. Depending on different specifications of the application at hand, such as the environment, dynamics, budget and accuracy requirements, INS is combined with other navigation sensors in the fusion framework, including, among others: (i) the Global Positioning System (GPS), which is a commonly used navigation system for providing three-dimensional position and velocity information with high acceptable accuracy; (ii) the Bei-Dou2 (BD2) navigation system [2,3] which is a Chinese global satellite navigation system consisting of 35 satellites; and (iii) the Celestial Navigation System (CNS) [4], which is an autonomous navigation system based on celestial observation by Sun/star sensors, which is capable of providing attitude and position information without accumulating error over time. Recently, there has been a surge of interest [4,5,6,7,8] in the development and implementation of INS/GPS/CNS integrated navigation systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor Fusion with Interaction Multiple Model and Chi-Square Test Tolerant Filter

Yang

Mohammadi

Chen

2016

Sensors

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Motivated by the key importance of multi-sensor information fusion algorithms in the state-of-the-art integrated navigation systems due to recent advancements in sensor technologies, telecommunication, and navigation systems, the paper proposes an improved and innovative fault-tolerant fusion framework. An integrated navigation system is considered consisting of four sensory sub-systems, i.e., Strap-down Inertial Navigation System (SINS), Global Navigation System (GPS), the Bei-Dou2 (BD2) and Celestial Navigation System (CNS) navigation sensors. In such multi-sensor applications, on the one hand, the design of an efficient fusion methodology is extremely constrained specially when no information regarding the system’s error characteristics is available. On the other hand, the development of an accurate fault detection and integrity monitoring solution is both challenging and critical. The paper addresses the sensitivity issues of conventional fault detection solutions and the unavailability of a precisely known system model by jointly designing fault detection and information fusion algorithms. In particular, by using ideas from Interacting Multiple Model (IMM) filters, the uncertainty of the system will be adjusted adaptively by model probabilities and using the proposed fuzzy-based fusion framework. The paper also addresses the problem of using corrupted measurements for fault detection purposes by designing a two state propagator chi-square test jointly with the fusion algorithm. Two IMM predictors, running in parallel, are used and alternatively reactivated based on the received information form the fusion filter to increase the reliability and accuracy of the proposed detection solution. With the combination of the IMM and the proposed fusion method, we increase the failure sensitivity of the detection system and, thereby, significantly increase the overall reliability and accuracy of the integrated navigation system. Simulation results indicate that the proposed fault tolerant fusion framework provides superior performance over its traditional counterparts.

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Exploration of BD2/SINS Deeply Integrated Navigation in CZ-7 Launch Vehicle Guidance System

Cited by 2 publications

References 2 publications

Architectural elements of hybrid navigation systems for future space transportation

Architectural elements of hybrid navigation systems for future space transportation

Multi-Sensor Fusion with Interaction Multiple Model and Chi-Square Test Tolerant Filter

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