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Welcome to Silicon Sensing

Silicon Sensing's gyros and accelerometers, used alone or within our range of IMU products, have an unrivalled reputation in real-world applications.  Each silicon MEMS gyro uses our unique, patented vibrating ring structure - a balanced mechanism with very high 'Q', ensuring strong immunity to shock and vibration common in real-world applications.

To find out more, see below or click the product image opposite.  To talk to us simply submit the brief form, below, and we will be in touch.

A little bit more about the DMU30

Product description

High Performance MEMS IMU

An affordable non-ITAR MEMS IMU alternative to 'FOG-Grade' IMUs for use in exacting motion sensing applications.

The first of a family of High Performance IMUs (HPIMUs), DMU30 is a ground-breaking, non-ITAR, MEMS IMU for use in applications ranging from unmanned vehicle navigation to surveying and mapping.

Available now, the DMU30 is proving a formidable choice for affordable high-performance IMUs.  Two standard variants offer different baud rates to suit application needs.  Datasheet and Solid Model CAD files for the DMU30 can be downloaded from the Downloads tab.

The basic inertial data output from DMU30 is angular rate (deg/s) and acceleration (g).  Delta Theta and Delta Velocity outputs can be considered as a re-scaling of these basic data outputs.   Provision and use of these values is an industry standard expected and used by many of our customers.

Delta Theta is in degrees and represents the degrees rotated over the sampling time of 5.0ms (or 1/200th of a second).  For example, if the IMU axis is rotating at 200deg/s, Delta Theta will be 1 deg.

Similarly, Delta Velocity is a re-scaling from g to m/s, representing the change in velocity change over the same 5ms.  The output in m/s is equal to the acceleration in g multiplied by 0.04903325 (divide by 200 and multiply by 9.80665, the latter being a universal measure of g).

24-bit sigma delta analogue to digital convertors are used within DMU30. Compensation is carried out using single precision floating point mathematics. The DMU30 output message is also output as single precision floating point numbers. So the mathematical resolution is very small indeed.

In practical terms, the minimum resolvable change is dominated by the sensor noise. With averaging, this can be improved to a point where the minimum resolvable change is dictated by the bias instability derived from Allan Deviation plots. For the gyro channels this is below 0.1 deg/hr and for the accelerometers, around 10μg.

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