A Closed Loop Simulation Environment for GPS/INS Guidance Systems

Silvestro, Mike; Ilvedson, Corinne; DiPrizito, Fred; Friend, Steve; Berry, Scott M.

doi:10.2514/6.2007-6467

Cited by 4 publications

(3 citation statements)

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“…Discrete equation (1), the following equation can be obtained: Equation 3 The INS/GPS measurement equation is as follows (Silvestro and Ilvedson, 2007):…”

Section: Filtering Model Of Inner Filter In Egimentioning

confidence: 99%

“…In the common navigation system utilizing INS as reference unit, filters use auxiliary sensors information to estimate and correct INS errors (Silvestro and Ilvedson, 2007; Noureldin and Karamat, 2009). Between these multi‐sensor information fusion filters, the Kalman filter and the federated filter provide theoretical basis (Chang et al , 1997).…”

Section: Introductionmentioning

confidence: 99%

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Double‐layer fusion algorithm for EGI‐based system

Wang

Liu

Xiong

et al. 2013

Aircraft Eng & Aerospace Tech

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PurposeThe Embedded GPS/INS System (EGI) has been used more widely as central navigation equipment of aircraft. For certain cases needing high attitude accuracy, star sensor can be integrated with EGI to improve attitude performance. Since the filtering‐correction loop has already built in finished EGI product, centralized or federated Kalman filter is not applicable for integrating EGI with star sensor; it is a challenge to design multi‐sensor information fusion algorithm suitable for this situation. The purpose of this paper is to present a double‐layer fusion scheme and algorithms to meet the practical need of constructing integrated multi‐sensor navigation system by star sensor assisting finished EGI unit.Design/methodology/approachThe alternate fusion algorithms for asynchronous measurements and the sequential fusion algorithms for synchronous measurements are presented. By combining alternate filtering and sequential filtering algorithms, a kind of double‐layer fusion algorithms for multi‐sensors is proposed and validated by semi‐physical test in this paper.FindingsThe double‐layer fusion algorithms represent a filtering strategy for multiple non‐identical parallel sensors to assist INS, while the independent estimation‐correction loop in EGI is still maintained. It has significant benefits in updating original navigation system by integrating new sensors.Practical implicationsThe approach described in this paper can be used in designing similar multi‐sensor information fusion navigation system composed by EGI and various kinds of sensors, so as to improve the navigation performance.Originality/valueCompared with conventional approach, in the situation that centralized and federated Kalman filter are not applicable, the double‐layer fusion scheme and algorithms give an external filtering strategy for measurements of finished EGI unit and star sensors.

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“…Discrete equation (1), the following equation can be obtained: Equation 3 The INS/GPS measurement equation is as follows (Silvestro and Ilvedson, 2007):…”

Section: Filtering Model Of Inner Filter In Egimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Double‐layer fusion algorithm for EGI‐based system

Wang

Liu

Xiong

et al. 2013

Aircraft Eng & Aerospace Tech

View full text Add to dashboard Cite

show abstract

“…With regard to ballistic measurement, the miniaturized and highly dynamic satellite positioning and Micro Electromechanical System (MEMS) sensors are applied. 1,2 However, their specific implementations and performances differ between countries: the Top-Gun of Israel, the Guidance Integrated Fuze (GIF), and the precision guidance kit (PGK) of America, 3,4 the C2 correction fuze of South Africa, and the Course Correcting Fuze (CCF) of Germany. 5 Among these, the GIF and the Top-Gun adopt the combination of Global Positioning System (GPS) and Inertial measurement unit (IMU), while the others only measure the roll angle of the actuator, which is greater in size and cost.…”

Section: Introductionmentioning

confidence: 99%

Trajectory analysis of a dual-spin-stabilized projectile with fixed-canards for the precision guidance kit

Shi

Liu

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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The dual-spin-stabilized projectile’s mechanism of angular motion is analyzed, taking into account the two pairs of fixed-canards. Based on the non-homogeneous terms of the angle of attack (AOA) equation, the gyroscopic stability and precession feature of a double-spinning projectile are theoretically analyzed. The negative AOA is unraveled under the influence of two pairs of fixed-canards. Furthermore, the dual-spin-stabilized projectile’s angular movements, with the lift-canards fixed at different directions, are described; thus, the phenomenon is revealed whereby the deflection of the lift-canards is opposite to that of the projectile correction direction. Then, the Monte Carlo trajectory simulation is used to verify the angular motion law of a dual-spin-stabilized projectile with fixed-canards. The results of the analysis offer a meaningful strategy to control a class of dual-spin-stabilized projectiles that is not limited to the fixed-canard type.

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Position accuracy evaluation of GPS receiver under small UAV flight environment

Wang

2009

2009 9th International Conference on Electronic Measurement &Amp; Instruments

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A Closed Loop Simulation Environment for GPS/INS Guidance Systems

Cited by 4 publications

References 0 publications

Double‐layer fusion algorithm for EGI‐based system

Double‐layer fusion algorithm for EGI‐based system

Trajectory analysis of a dual-spin-stabilized projectile with fixed-canards for the precision guidance kit

Position accuracy evaluation of GPS receiver under small UAV flight environment

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