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What are the Limitations of Inertial Reference System?

Published in Inertial Navigation Systems 3 mins read

Inertial Reference Systems (IRS) are highly autonomous navigation tools that provide continuous position, velocity, and attitude information without external signals. However, they face inherent limitations primarily due to the accumulation of small errors over time and operational dependencies. Understanding these limitations is crucial for their effective application and for integrating them with other navigation technologies.

Key Limitations of Inertial Reference Systems

The primary limitations of IRS stem from the nature of their operation, which relies on integrating measurements from internal sensors.

Accuracy Drift Over Time

Perhaps the most significant limitation of an IRS is its accuracy drift over time. This occurs because the system continuously integrates tiny, unavoidable errors from its accelerometers and gyroscopes to calculate position and velocity. Even minuscule sensor biases and noise accumulate, leading to a gradual degradation in accuracy.

  • Older Systems: Historically, older stabilised platform Inertial Navigation Systems (INS) from the 1970s and early 1980s exhibited significant drift. These systems could accumulate position errors of 2 nautical miles (nm) per hour.
  • Modern Systems: Advances in technology have drastically improved accuracy. Modern strap-down Laser Ring Gyro (LRG) INS units, for example, have significantly reduced error rates, typically around 0.6 nm/hr. Despite these improvements, the drift remains a fundamental characteristic that needs to be managed, often through periodic updates from external sources like GPS.

The following table illustrates the improvement in drift rates over time:

System Type Era Approximate Position Error Drift Rate
Older Stabilised Platform INS 1970s and early 1980s 2 nautical miles (nm) per hour
Modern Strap-down LRG INS Contemporary 0.6 nautical miles (nm) per hour

Initial Alignment Time

Before an IRS can provide accurate navigation data, it requires a period of initial alignment. During this process, the system calibrates its gyroscopes to sense the Earth's rotation and aligns its internal coordinate frame with the true North, East, and Down directions. This process can take several minutes, depending on the system's precision and environmental conditions, making it unsuitable for applications requiring instant operational readiness from a cold start.

Cost and Complexity

High-performance IRS units, especially those used in aviation, marine, and space applications, are inherently expensive and complex. They contain precisely manufactured gyroscopes and accelerometers, often requiring advanced materials and sophisticated calibration procedures. This high cost can be a barrier for certain applications, and their complexity demands specialized maintenance and integration expertise.

Sensitivity to Environmental Factors

The delicate sensors within an IRS can be susceptible to various environmental disturbances. Vibration, shock, and extreme temperature variations can introduce errors or degrade the system's performance. While robust designs and isolation techniques mitigate these effects, prolonged exposure to harsh conditions can still impact accuracy and reliability.

No External Reference (Standalone Mode)

While the ability to operate independently without external signals is a significant strength of an IRS (e.g., in GPS-denied environments), it also means that in standalone mode, there is no mechanism to correct accumulated errors. Without periodic updates from external navigation aids (like Global Navigation Satellite Systems, GNSS), the system's position accuracy will continuously degrade over time due to drift, as discussed earlier.

Data Processing Demands

Calculating position, velocity, and attitude from raw sensor data requires significant computational power. The continuous integration and compensation for errors demand robust processing capabilities, which can contribute to power consumption and heat generation within the system.

In conclusion, while Inertial Reference Systems offer unparalleled autonomy in navigation, their inherent drift over time, need for initial alignment, cost, and sensitivity to environmental factors are critical limitations that must be considered in their design and application.