2025-11-12
An Inertial Navigation System (INS) is an autonomous navigation technology based on inertial sensors such as gyroscopes and accelerometers. INS does not rely on external signals, providing high stealth, strong anti-interference capability, and all-weather operation. It is widely used in aerospace, UAVs, marine navigation, and autonomous vehicles. Understanding inertial navigation starts with its theoretical foundation—Newton's Laws of Motion.
"An object at rest stays at rest, and an object in motion continues in uniform motion unless acted upon by an external force."
This law reveals the property of objects to maintain their motion state—inertia. INS utilizes this principle by measuring changes in the motion of the carrier in inertial space to calculate its position, velocity, and attitude.
"The acceleration of an object is proportional to the force applied and inversely proportional to its mass, i.e., a = F/m."
In inertial navigation, accelerometers are based on this law, measuring the specific force acting on the carrier to calculate acceleration, which is then integrated to obtain velocity and displacement.
"For every action, there is an equal and opposite reaction."
This law manifests in INS as the mechanical coupling between sensors and the carrier, which is essential for vibration control, error compensation, and system modeling.
The validity of Newton's Laws requires an inertial reference frame. In INS, the Earth-Centered Inertial (ECI) frame or navigation frames such as NED are usually selected as references for calculating the carrier's trajectory.
A typical INS consists of:
Inertial navigation technology is a core component of modern high-precision navigation systems. From Newton's Laws to inertial frames, and from sensors to algorithms, each step reflects a deep integration of physics and engineering. With the advancement of MEMS technology, INS is becoming lower-cost, more accurate, and more compact, finding broader applications in autonomous vehicles, robotics, and smart wearable devices.
#Inertial Navigation #INS #Newton's Laws #Inertial Frame #IMU #SINS #Autonomous Vehicles #UAV Navigation #MEMS #Kalman Filter