Silicon Sensing CRS05-01


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Silicon Sensing CRS05-01
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1 Silicon Sensing

From the Silicon Sensing website:

The business was formed in 1999 to supply motion sensing solutions to high-volume automotive markets - but can trace its ancestry back to the early days of Sperry Gyroscope. Sumitomo Precision Products' advanced MEMS fabrication technology combines with Atlantic Inertial Systems' patented solid state gyro and inertial systems knowledge to manufacture and supply angular rate sensors (gyros) and inertial systems. Today, Silicon Sensing has an outstanding reputation for the development and production of innovative technology and the high volume production of reliable and affordable sensors, deployed across a diverse range of commercial and automotive applications.

In many aerospace and automotive the angular rate is very important. In an automobile, an angular rate above a certain threshold could be used to trigger a roll-over sensor. A sustained rate over time could be integrated in order to determine an angular threshold (such as 45 deg) for roll-over detection. Obviously these same sensors can be used to determine when the automobile is spining. In aerospace, the angular rate can be used for pointing compensation.

Please feel free to include your experiences as signed edits to this article.

1.1 Technology

Most gyroscopes are inertial sensors (i.e. the sensed rate is in inertial space not the local reference frame). Typically gyros keep a proof mass stationary (or rotating) in inertial space while the relative rotation of the sensor housing is measured. Over the past couple of decades solid state MEMS device have replaced the older spinning gyros in Silicon Sensing's technology. MEMS gyros incorporate a vibrating proof mass instead of a spinning mass.

1.2 Silicon Sensing's VSG-3 Inductive Resonator

The VSG-3 is the third generation of "Vibrating Structure Gryo" (MEMS). Approximately 3 million VSG-3 gyros are produced.

1.3 Silicon Sensing's VSG-4 Capacitive Resonator

The VSG-4 is the latest generation of gyros that Silicon Sensing advertises. They state that the VSG-4 is their latest (4th) generation of the Vibrating Structure Gyro. They consider this to be an evolution of their resonating ring MEMS structure.

1.4 Applications

Silicon Sensing lists the following applications for their sensors:

  • Automotive Overview
  • Vehicle Stability
  • Future Automotive
  • Mobile Antennas
  • Avionics
  • Segway
  • Agriculture

1.5 Silicon Sensing's CRS05-01 Notes

A high-temperature automotive-qualified gyro, also much in demand for avionics and other precision applications.

2 Single Axis Gyro -- CRS05-01

2.1 Performance Data

Table 1: Single Axis Gyro -- CRS05-01 Performance Specifications
Angular Axes Rate BW (Hz) Rate Saturation (deg/sec)




Rate Sensor with BW of 80 Hz

2.2 Environmental Data

Table 2: Single Axis Gyro -- CRS05-01 Environmental Specifications
Rated Angular Rates (deg/sec) Angular Rate Technology Operating Temperature (F)


Silicon Ring Technology

-40 to 212

2.3 Data for Sensors similar to the Single Axis Gyro -- CRS05-01

Table 3: Single Axis Gyro -- CRS05-01 - Similar Sensors
Product Name Rated Angular Rates (deg/sec) Rate BW (Hz) Maximum Dimension (in) Weight (lb)

Single Axis Gyro -- CRS05-01





CRG20 Series -- CRG20





CRG20 Series -- CRG20-01





Single Axis Gyro -- CRS05-01





3 Generic Sensor Model

Basic Sensor Model

Most sensors can be modeled simply. The simple model starts with a transfer function that bounds the frequency response of the sensor. In addition to the frequency response of the sensor noise is modeled (simple band-limited white noise or PSD derived time history noise).

Typically sensors are designed (and electronics or software added) to provide a linear response. Sometimes the sensor is designed to provide that linear response over the largest possible frequency range. Other vendors will add the electronics and software to reduce noise or improve phase response.

3.1 Sensor Noise

Generic Random Noise Model

Some vendors provide noise specifications from noise measured prior to the sensor. However, most provide noise measured on the sensor's output. This noise will limit your control system performance. Noise passes straight through your control system to your output.

3.2 Nonlinear Models

For proposals and early design phases the simple, linear, model is typically adequate. Nonlinear models of sensors typically include Quantization effects and hard nonlinearities from software. Hard nonlinearities such as software thresholds can cause abrupt step changes to the output or to a control signal. Obviously these hard nonlinear steps can cause problems for a controlled system.

Nonlinear models are typically much more difficult to model. Validation is even more difficult and time consuming. Save these for later development stages where lots of test data can be taken and you have weeks or months to really dive into the data.

4 Possibly Stale Data Disclaimer

Please be careful how you use this data. It may be useful in an educational sense but system design decisions should be made using the manufactuerer's website only. This data was collected in Sept. and Oct. of 2008. As time progresses this data may become obsolete.

4.1 Data Quality Disclaimer

I've collected this data from various websites including sites that are not the manufactuerer's. Use the data for reference only and double check the performance parameters before making any vital decisions.