INS calibration parameters may not be exactly constant over time. Their values may change significantly over the operational life of the INS. Specifications for calibration stability generally divide these calibration parameter variations into two categories:
Turn‐on to turn‐on changes that occur between a system shut‐down and the next start‐up. They may be caused by temperature transients or power turn‐on effects during shut‐downs and turn‐ons, and may represent stress relief mechanisms within materials and between assembled parts. They are generally considered to be independent from turn‐on to turn‐on, so the model for the covariance of calibration errors for the
where
Long‐term drift, sometimes called “aging,” which has been attributed to such long‐term phenomena as material migration within solids or ion diffusion within crystalline materials. Its calibration parameter uncertainty covariance equation has the same form as Eq. (3.7), but with
Predicting Incipient System or Sensor Failures
Incipient sensor failures can possibly be predicted by observing over time the rate of change of sensor calibration parameters, depending on experience over the lifetimes of inertial navigators of the same type. One of the advantages of tightly coupled GNSS/INS integration is that INS sensors can be continuously calibrated all the time that GNSS data is available. System health monitoring can then include tests for the trends of sensor calibration parameters, setting threshold conditions for failing the INS system, and isolating a likely set of causes for the observed trends.
3.3.5 Carouseling and Indexing
These are methods used for cancelling the effect of some sensor output bias errors on navigation errors by rotating the sensor input axis either continuously (carouseling) or discretely (indexing), effectively zeroing the inertial integral of the sensor‐fixed errors.
Carouseling was first introduced at the Delco Division of General Motors in the early 1970s for gimbaled systems, using a vertical gimbal axis for the rotation. It has also been applied to strapdown systems, using ISA rotation about a nominally vertical yaw axis, and to strapdown MEMS systems for navigation [7], and evaluated for MEMS gyrocompasses [8].
Indexing (also called “gimbal flipping”) has been used quite extensively in the US Navy's electrostatically supported gyro navigator (ESGN), using independent indexing around and end‐to‐end on the spin axes of its electrostatic gyroscopes. This indexing does not cancel the effects of rotor axial mass unbalance, but it cancels just about everything else.
3.4 Inertial Navigation Models
Besides models for mitigating sensor errors, inertial navigation systems require internal models for the external world in which they must navigate. These models define the navigation coordinates to be used, including any departures from inertial coordinates. For terrestrial navigation, those departures include gravity, rotation, and the non‐rectilinear shapes of Earth‐fixed coordinates.
3.4.1 Geoid Models
Carl Friedrich Gauss introduced the idea of a geoid in 1828 as the “mathematical figure of the Earth,” defining its shape as that of a reference equipotential surface (e.g. mean sea level), and defining locations in the near‐Earth environment in terms of longitude, latitude and altitude with respect to that geoid shape.
Geoid models began as oblate spheroids – something predicted by Isaac Newton as the real shape of the Earth – with the Earth's center of mass at its center, the Earth rotation axis along its short axis, and the Airy Transit Circle at the Royal Observatory in Greenwich at its prime meridian.
Later refinements included undulations of the equipotential surface above and below the reference ellipsoid, represented in terms of spherical harmonics. That basic concept is still in use today, and it is used for GNSS navigation. Geoid models are also used for inertial navigation. Besides providing a common grid solution for position, geoids also provide models for the near‐Earth gravitational field.
There are different geoids for different purposes. Those used for surveying generally include some model for the local vertical direction as a function of location, because the local vertical is used as a reference direction in surveying. Those used in hydrology need to include something equivalent to gravitational potential. Those used in inertial navigation need to include the local gravitational acceleration magnitude and direction.
There have been many geoid models over the years, and multiple international efforts to establish a common one. The WGS84 reference geoid was established by the 1984 World Geodetic Survey, and it has become widely used in GNSS and inertial navigation.
3.4.2 Terrestrial Navigation Coordinates
Descriptions of the major coordinates used in inertial navigation and GNSS/INS integration are described in Appendix B (www.wiley.com/go/grewal/gnss). These include coordinate systems used for representing the trajectories of GNSS satellites and user vehicles in the near‐Earth environment and for representing the attitudes of host vehicles relative to locally level coordinates, including the following:
1 Inertial coordinatesEarth‐centered inertial (ECI), with origin at the center of mass of the Earth and principal axes in the directions of the vernal equinox and the rotation axis of the Earth.Satellite orbital coordinates, used in GNSS ephemerides.
2 Earth‐fixed coordinatesEarth‐centered, Earth‐fixed (ECEF), with origin at the center of mass of the Earth and principal axes in the directions of the prime meridian at the equator and the rotation axis of the Earth.Geodetic coordinates based on a reference geoid. Geodetic latitude, defined as the angle between the equatorial plane and the local vertical, as illustrated in Figure 3.8. It can differ from geocentric latitude by as much as 12 arc minutes, equivalent to about 20 km of northing distance.Local tangent plane (LTP) coordinates, also called “locally level coordinates,” essentially representing the Earth as being locally flat. These coordinates are particularly useful from a human factors standpoint for representing the attitude of the host vehicle and for representing local directions. They includeEast–north–up (ENU), shown in Figure B.7;North–east–down (NED), which can be simpler to relate to vehicle coordinates; andAlpha wander or azimuth wander, rotated from ENU coordinates through an angle about the local vertical, as shown in Figure B.8.
3 Vehicle‐fixed coordinatesRoll–pitch–yaw (RPY), as shown in Figure B.9.
Transformations