How does MEMS IMU enable accurate perception for drones and robots?

The attitude drift of the drone when hovering? The robot control error? The precision positioning of the automation equipment is always lacking the "finishing touch"? They all need a powerful "motion sensing heart" - IMU.

For professionals in the research and development, production and application of unmanned systems, key indicators such as IMU's accuracy and stability are the focus.

ER-MIMU-064 integrates a three-axis MEMS gyroscope and a three-axis accelerometer to achieve synchronous measurement of the object's three-dimensional acceleration and rotational angular velocity, and outputs the carrier's attitude, velocity and displacement information after solving the solution. With the technical combination of "ultra-miniaturization, high precision and low cost", it redefines the performance expectations of small smart devices for motion sensing modules.

Compact design

The size is only 38.6mm x 44.8mm x 25.5mm, and the weight is less than 70g, which is the industry benchmark, greatly freeing up the space and load of drones and micro robots.

Core sensor performance

Gyroscope: measurement range is ±400º/s|Bias instability <1º/h |Angular random walk <0.2°/√h

Accelerometer: measurement range is ±30g|Bias stability <50ug|Bias repeatability 100ug.

Environmental adaptability

Wide operating temperature: Temperature compensation ensures stable and reliable performance in harsh environments from -40°C to +80°C.

Ultra-low power consumption: Only 2W power consumption is required, significantly extending the operating time.

High-speed and reliable communication: RS-422 bus communication, the baud rate can be flexibly configured between 230400 bps and 921600 bps, and the default is up to 921600 bps, combined with a 400Hz data refresh rate, providing real-time, low-latency motion data for high-speed dynamic control.

What can it do?

Precise motion and control:

Measurement data allows the flight control system to monitor the drone's attitude in real time → adjust the flight attitude immediately.

Provide real-time angular velocity and acceleration information of the body attitude for mobile robots (AGV/AMR) and robotic arms → achieve autonomous movement, balance control, precise grasping and collision avoidance.

Assisted positioning and navigation: By integrating IMU and vision/LiDAR information, robots/AGVs can achieve synchronous positioning and SLAM, especially in indoor environments without GPS, where IMU provides key support for motion trajectory calculation.