HARDWARE / PRODUCTUpdated 25 Jul 2026

Magnetorquers

Tensor Tech
Magnetorquers

Tensor Tech's magnetorquer product line, offered as an integrated MTQ Board or as standalone TensorMTQ rods, providing detumbling and basic pointing for small satellites.

Key figurescomparable across the catalogue

Mass
0.205 kg
Power
1 W
Largest dimension
94 mm

Normalised to common units so this product can be compared with others in its category. The supplier's own wording is below.

As published by the supplier

Magnetic dipole moment
> 0.2 Am^2 for X/Y axes; > 0.1 Am^2 for Z axis
Inrush current
< 0.5 A @ 12 V
Power consumption
< 1 W
Mass
< 205 g
Dimensions
94 x 90 x 19 mm3
Supply voltage
5 ~ 36 V
Control interface
UART or RS-485
Connector type
Molex Pico-Blade

About

Tensor Tech provides magnetorquers in two forms: integrated boards and standalone rods. The MTQ Board integrates two magnetorquers and one air coil onto a control board with embedded ADCS algorithms, providing detumbling functionality for CubeSat missions. When combined with fine sun sensors, the system enables basic pointing capabilities such as sun-spin and detumbling. The TensorMTQ series is designed for small satellites and is delivered as magnetorquer rods, with or without H-bridge driving circuits. They can be interfaced directly with a flight computer or with a dedicated ADCS board, which can also be provided by Tensor Tech. Product features include optional driving circuitries and digital interfaces enabled by the control board; manufacturing in an ISO 7 cleanroom, imposing strict quality control and a scalable production plan from small quantity up to mass production; and analysis of magnetic distortion and leakage enabled by COMSOL Multiphysics®. A customization and analysis service is offered, providing customized magnetorquer solutions that balance size, power consumption, and magnetic dipole moment for mission constraints. Custom designs are available upon request.

Documentation

No public datasheet yet — request the datasheet / ICD from the supplier.

Source: tensortech.co ↗

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