3D Gyroscope Sensor, 9 Axis, Acceleration/ Angular Velocity/ Angle

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$653.88

High-performance 9-axis 3D gyroscope sensor with three measurement functions of acceleration, angular velocity and angle, supporting X/Y/Z axis data, with a wide range of measurement (angle ±180°, acceleration ±2~16g, angular velocity ±50~2000°/s) is optional.

Output Signal *
Acceleration Range *
Angular Velocity Range *

SKU: ATO-GS-9-AXIS

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Delivery date: 6-12 days

Overview

High-precision industrial grade gyro sensor provides ultra-high resolution with bandwidth (>1000Hz) and short start-up time of only 0.5 seconds.Support multi-frequency automatic output, using RS232/RS485/RS422/TTL signal output methods, adapt to a wide range of industrial applications. Wide operating voltage, low power consumption, long life.

Specification

Model	ATO-ML7600-3-D
Measuring Axial	X/Y/Z axis
Measuring Range	Angle: ±180°
	Acceleration: ±2/4/8/16g
	Angular velocity: ±50/150/300/450/1200/2000°/s
Acquisition Band Width	>1000Hz
Resolution	Angle: ±0.01°/S
	Acceleration: ±0.001g
	Angular velocity: ±0.005°/s
Temperature Compensation	Full temperature range,-45℃~85℃
Power-on Startup Time	0.5s
Auto Output Rate	5Hz output, 15Hz, 35Hz, 50Hz can be set (RS485 without this function)
Output Signal	RS232/RS485/RS422/TTL
Average Trouble-Free Operating Time	≥45000 hours/time
Negative Tenderness	20000g, 2ms, 1/2sine
Vibration Resistant	10grms, 10~1000HZ
Waterproof Rating	IP67
Cable	Standard 1.5 meters length, wear-resistant, oil-resistant, wide temperature, shielded cable 5*0.2mm²
Connector	6-pin aviation plug
Tolerance Load	1000
Operating Voltage	9~36V
Operating Current	40mA
Operating Temperature	-40℃~85℃
Storage Temperature	-55℃~125℃
Connector	Lead wire (1.5m) or waterproof aviation socket
Housing Material	Aluminum alloy sandblasted oxidation
Mounting	Four M4 screws
Dimensions	605929mm
Net Weight	180g

Dimensional Drawing (unit: mm)

Axis Direction

Wiring Drawing

Applications

Tips: How do I process 9-axis sensor data to improve accuracy?

The following steps are typically required to optimize data accuracy:

Calibration: Calibrate sensors for acceleration, angular velocity, and magnetic field after initial use and long-term operation.
Sensor Fusion: Integration of multi-axis data using filtering algorithms such as Kalman filtering or complementary filtering to reduce noise and drift.
Temperature Compensation: Prevents changes in ambient temperature from affecting measurement data.

The above methods can significantly improve the reliability and stability of sensors in complex application scenarios.

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