Inertial navigation system
US-2020064136-A1 · Feb 27, 2020 · US
US11781836B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11781836-B2 |
| Application number | US-202117192535-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 4, 2021 |
| Priority date | Mar 4, 2021 |
| Publication date | Oct 10, 2023 |
| Grant date | Oct 10, 2023 |
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Model based inertial navigation for a spinning projectile is provided. In one embodiment, a navigation system comprises: a strapdown navigation processor; a propagator-estimator filter, the processor inputs inertial sensor data and navigation corrections from the filter to generate a navigation solution comprising projectile velocity and attitude estimates; an upfinding navigation aid that generates an angular attitude measurement indicative of a roll angle; and a physics model performing calculations utilizing dynamics equations for a rigid body, the model inputs 1) projectile state estimates from the navigation solution and 2) platform inputs indicative of forces acting on a projectile platform, and outputs a set of three orthogonal predicted translational acceleration measurements based on the inputs; the filter comprises a measurement equation associated with the physics model and the upfinding navigation aid and calculates the navigation corrections as a function of the navigation solution, the predicted translational acceleration measurements, and attitude measurement.
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What is claimed is: 1. A navigation system for a spinning projectile, the system comprising: a strapdown navigation processor; a propagator-estimator filter, wherein the strapdown navigation processor is configured to input inertial sensor data and to input navigation corrections from the propagator-estimator filter to generate a navigation solution, the navigation solution comprising at least a projectile velocity estimate and a projectile attitude estimate; an upfinding navigation aid configured to generate an angular attitude measurement indicative of a roll angle of the spinning projectile with respect to the Earth; and a spinning projectile physics model configured to perform calculations utilizing dynamics equations for a rigid body, wherein the spinning projectile physics model inputs 1) one or more projectile state estimates from the navigation solution and 2) one or more platform inputs indicative of forces acting on a projectile platform, and the spinning projectile physics model outputs at least a set of three orthogonal predicted translational acceleration measurements based on the inputs; wherein the propagator-estimator filter comprises a measurement equation associated with the physics model and the upfinding navigation aid and is configured to calculate the navigation corrections as a function of the navigation solution, the set of predicted translational acceleration measurements, and angular attitude measurement indicative of a roll angle, wherein the measurement equation is computed by the propagator-estimator filter as a function of differences between spinning projectile physics model derived accelerations and inertial sensor derived accelerations, differences between upfinding navigation aid derived attitude measurements and strapdown navigation system derived attitude measurements, and navigation filter states of the propagator-estimator filter. 2. The system of claim 1 , further comprising one or more platform input sensors, wherein at least one of the one or more platform inputs are generated by the one or more platform input sensors. 3. The system of claim 1 , wherein the inertial sensor data comprises one or more specific force measurement from one or more angular rate measurements from one or more inertial sensors. 4. The system of claim 1 , wherein the propagator-estimator filter comprises a Kalman Filter, an Extended Kalman Filter, an Unscented Kalman Filter, or a Particle Filter. 5. The system of claim 1 , wherein the spinning projectile physics model is configured to calculate dynamics equations for a rigid body corresponding to the projectile platform. 6. The system of claim 1 , wherein the spinning projectile physics model computes the set of predicted translational acceleration measurements as a function of navigation filter states of the propagator-estimator filter. 7. The system of claim 1 , wherein the spinning projectile physics model computes predicted translational acceleration measurements caused by forces acting on the spinning projectile. 8. The system of claim 1 , wherein the upfinding navigation aid comprises an upfinding algorithm configured to compute an attitude measurement based on parameters sensed or estimated by an upfinding sensing function. 9. The system of claim 8 , wherein the upfinding sensing function determines a rate of spin by analyzing a signal having a component that varies as a function of a rate of spin of the spinning projectile. 10. The system of claim 8 , where the upfinding algorithm processes an angular rate measurement from the upfinding sensing function to produce the roll angle estimate provided to the propagator-estimator filter. 11. The system of claim 1 , wherein the strapdown navigation processor comprises a navigation model configured to compute linear accelerations and angular rate increments from the inertial sensor data and updated navigation filter state estimates from the propagator-estimator filter. 12. A method embodiment for model based inertial navigation for a spinning projectile, the method comprising: inputting inertial sensor data from inertial sensors and inputting navigation corrections from a propagator-estimator filter to generate a navigation solution, the navigation solution comprising at least a projectile velocity estimate and an attitude estimate; executing a spinning projectile physics model configured to perform calculations utilizing dynamics equations for a rigid body, wherein the spinning projectile physics model inputs 1) one or more projectile state estimates from the navigation solution and 2) one or more platform input measurements indicative of forces acting on the projectile platform; calculating with the spinning projectile physics model a set of three orthogonal predicted translational acceleration measurements as a function of the one or more projectile state estimates and the platform input measurements; executing an upfinding navigation aid to generate an angular attitude measurement indicative of a roll angle of the spinning projectile with respect to the Earth; and calculating the navigation corrections as a function of the navigation solution and further utilizing as navigation aiding sources the set of predicted translational acceleration measurements from the spinning projectile physics model and the angular attitude measurement from the upfinding navigation aid, wherein the propagator-estimator filter comprises a measurement equation associated with the physics model and the upfinding navigation aid, wherein the measurement equation is computed by the propagator-estimator filter as a function of differences between spinning projectile physics model derived accelerations and inertial sensor derived accelerations, differences between upfinding navigation aid derived attitude measurements and strapdown navigation system derived attitude measurements, and navigation filter states of the propagator-estimator filter. 13. The method of claim 12 , wherein the inertial sensor data comprises one or more specific force measurement from one or more angular rate measurements from one or more inertial sensors. 14. The method of claim 12 , wherein the spinning projectile physics model is configured to calculate dynamics equations for a rigid body corresponding to the projectile platform. 15. The method of claim 12 , wherein the upfinding navigation aid comprises an upfinding algorithm configured to compute an attitude measurement based on parameters sensed or estimated by an upfinding sensing function. 16. The method of claim 15 , wherein the upfinding sensing function determines a rate of spin by analyzing a signal having a component that varies as a function of a rate of spin of the spinning projectile. 17. The method of claim 15 , where the upfinding algorithm processes an angular rate measurement from the upfinding sensing function to produce the roll angle estimate provided to the propagator-estimator filter. 18. The method of claim 12 , wherein the navigation solution is computed by a strapdown navigation processor that comprises a navigation model configured to compute linear accelerations and angular rate increments from the inertial sensor data and updated navigation filter state estimates from the propagator-estimator filter.
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