Applications of Inertial Navigation System and their Challenges

An Inertial Navigation Systems refers to a self-contained device that consists of a computational unit and an inertial measurement unit. The computation unit determines the position, altitude, and velocity of the system. The inertial measurement unit measures the angular rate of a system and its acceleration. In the modern days, the most common challenge of scientific advancement is how to improve the existing tools. There are advancements each year to solve the problem, and in the twenty-first century, there is a trend to design tools that need as minimal human interaction as possible.

The designers of autonomous devices are developing tools for implementing tasks such as exploring unknown territories and performing tasks that are dangerous for human life and health. Such devices include spaceships, mobile robots, and flying objects commonly used for the military.

Challenges facing autonomous objects

The main problem with the development of autonomous mobile objects with the help of an inertial navigation system is precise navigation. For the object to navigate correctly, it must know the exact location and orientation with the familiar environment. Creating a sensor system that can perceive the external environment and, at the same time, monitor the internal parameters is the major challenge in the inertial navigation industry.

There is a lot of research on the inertial measuring object-orientation used to detect the object’s current orientation in recent years. As a measuring device, it should fulfill a set of requirements such as weight and size. The sensors should also be able to work in extreme pressure and weather conditions. The devices must deliver high-quality data at the highest possible speed and minimal electrical energy consumption for mobile devices.

The inertial navigation systems are adopting the most advanced technology to achieve the required standards. The modern inertial measurement units, for instance, are using different types of sensors that are more effective than the old ones.

Nancy Fowler