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ML5-AR

The ML5-AR IMU/tilt sensor delivers low-cost precision measurements of dynamic inclination, acceleration and angular rate in challenging environments specifically designed for those encountered by heavy-duty construction, off-highway, agriculture, mining and trucking industries.

 

The ML5-AR utilizes the power of a sophisticated Auto-Adaptive Extended Kalman Filter (EKF) to remove errors associated with vibration, sudden linear motions and quake, resulting in a true reading of inclination under all conditions.

State-of-the-art temperature compensation and calibration assures error-free performance over the full operational temperature range.

 

The compact size, wide 4.5 to 36 V power range, IP68/IP69K rating and CAN communications interface make the ML5-AR a single part solution for a full range of vehicle sizes and applications.

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ML5-AR

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Sensor

  • High performance high-g accelerometer
    • 120 µg/√Hz
    • ±8 g range
  • High performance Gyroscope
    • 1000°/S
  • Attitude accuracy ±0.5°
  • Attitude resolution 0.02°
  • Fully calibrated and temperature compensated
    –40 to +85°C

Operation

  • Adjustable sampling rates up to 500Hz (100Hz default)
  • Triple power flexibility:
    • 5V regulated
    • 12V unregulated vehicle bus
    • 24V unregulated vehicle bus
  • Single CAN command adjusts for any mounting orientation
  • Fully compliant to strict automotive and off-highway test standards

Package

  • PBT Thermoplastic, Reinforced, Hermetically sealed
  • Ingress protection IP68, IP69K
  • Highly compact and low profile
    • 80.0mm x 55.0mm x 24.0mm
    • 110.5 grams
  • CAN J1939 bus interface
  • RoHS, REACH, CE, UKCA
ML5-AR - Data Sheet Data Sheets English
M-Series - Quick Start Guide Quick Start Guide English
M-Series - User Manual CAN J1939 Manual English
M-Series - User Manual CANopen Manual English
M-Series Development Kit Accessory Guide English
M-Series Cable Kit (Japan) Accessory Guide English
M-Series Cable Kit Accessory Guide English
M-Series Development Kit (Japan) Accessory Guide English
Inertial Sensing Solutions for Off-Highway Applications Brochure English
CAN to Serial Cable ICD Technical drawing English

Sales documents

Zeta Racing - Case Study Case Study English

Certificates and Approvals

ML5-AR Declaration of Conformity (EU) Declaration of Conformity English
ML5-AR Declaration of Conformity (UK) Declaration of Conformity English
MicroStrain REACH-SVHC Compliance Declaration Declaration of Conformity English
ML5-AR
Performance Grade Industrial Grade
Random Walk Accel: 120 µg/√Hz, Gyro: 0.45 °/√hr
Bias Instability (Gyroscope) 8 °/hr
Bias Instability (Accelerometer) 80 μg
Hysteresis Accel bias: 16 mg, Accel gain: 1000 PPM, Gyro bias: 1.0 °/s, Gyro gain: 1000 PPM
Communication Port Type AMPSEAL 16 gold plated 4 pin
Communication Interface CANopen
Update Rate IMU: 500Hz, EKF: 500Hz
Weight 110.5 g
Weight 38.98 oz
Size 78.9 mm x 55 mm x 23.5 mm
Size 3.11 in x 2.17 in x 0.93 in
Power Consumption 0.625 W
Input Voltage 4.5 V to 36 V, 12/24 Nominal
Minimum Operating Temperature -40 °C
Maximum Operating Temperature 85 °C
Minimum Operating Temperature -40 °F
Maximum Operating Temperature 185 °F
MTBF 826440 h
Sensing Range (Accelerometer) 20 g
Sensing Range (Gyroscope) 1000 °/s
Accuracy Roll/Pitch (static): 0.25 °
Ingress Protection Rating IP68, IP69K
Housing Material Fiber-Reinforced PBT
Mounting Style Screw Down

List of accessories available for all variants of this family

Product Code Description
M-Series Impact Shield 6212-3016 M-Series Impact Shield
M-SERIES CABLE KIT 6212-3017 M-SERIES CABLE KIT

Looking for the latest version?

Check out the upgraded MV7-AR — our next-generation ruggedized gyro-stabilized inclinometer with enhanced performance and advanced features.

Software

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InertialConnect Screenshot - GNSS Statuses

InertialConnect is the preferred software solution for MicroStrain inertial sensors. With InertialConnect, you can easily configure your sensors, adjust parameters, upgrade firmware, and deploy preconfigured parameter files. You can also verify sensor outputs with intuitive visualizations, including times eries data, position data, and statuses.

InertialConnect is compatible with both PC desktop and Linux operating systems, making it your go-to solution for precision and efficiency in inertial sensor management.

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SensorConnect is the next generation in desktop sensing software.

From configuration of nodes and starting networks, to collecting and analyzing data in real-time, SensorConnect provides a modern, powerful experience with our Wireless, Inertial, and Displacement products.

Using our intelligent data collection and graphing algorithms, you are able to visualize massive amounts of data instantly, and then zoom in on points of interest just as fast.

Built in MathEngine functionality allows for both real-time and post-processed math, such as generating FFTs, averages, RMS, etc.

SensorCloud Laptop and Desktop

SensorCloud is a unique sensor data storage, visualization, and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis.

MicroStrain sensors can instantly upload their data to SensorCloud via an ethernet-connected WSDA-2000. Once uploaded, your data is securely stored in the Cloud and can be accessed from anywhere, or downloaded for offline use.

Configurable alerts can be set to help notify you of real-time event in your data.

MathEngine allows you to perform analytics on your data, all in the Cloud. Pre-built functions are available for ease of use, while IPython Notebooks allow advanced users to write custom scripts to be run on their data once, or on a schedule.

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The MicroStrain Communication Library (MSCL) is our open-sourced API that simplifies writing code to interact with our sensors. MIP SDK is a lightweight C/C++ library for interacting with MicroStrain G and C-series products via baremetal and resource constrained microcontrollers.

Both APIs are readily available and fully-documented on GitHub, featuring valuable tools such as full documentation, example code, and a quick start guide.