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Introduction to Accelerometer Applications
This application note provides an overview for using the CXL Series acceleration
modules in a variety of measurement systems. It is divided into several sections:
basic concepts, vibration analysis, inertial navigation, and tilt/angle sensing.
The CXL Series accelerometers are a cost-effective way to make a wide variety of
acceleration-based measurements.
The standard CXL series linear accelerometers provide a fully signal conditioned
high-level analog output voltage proportional to acceleration. The sensing action
of the accelerometer is described by:
Vout = Scale_Factor * Acceleration + Offset Voltage
Where the parameters are defined as follows:
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Scale_Factor |
The sensor sensitivity in volts / G |
|
Acceleration |
Spplied acceleration in G's along the sensitive axis |
|
Offset_Voltage
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The zero-G output voltage |
The sensitive axis(es) are clearly labeled on the package of the device. Keep in
mind that acceleration signals are often three dimensional and that the accelerometer
only responds to the component of acceleration along the sensitive axis.
There are several fundamental source or modes of acceleration that are worth listing.
An example of each type is given in the following list:
- Linear Acceleration – A car accelerating from a stop sign
- Rotational Acceleration – The acceleration of a pendulum as it swings
- Centrifugal Acceleration – The acceleration which causes clothes to cling to the
side of a washing machine
- Gravitational Acceleration – The acceleration that causes all objects to fall to
the earth at equal rates
Using a CXL series accelerometer and an understanding of the mechanics of the overall
system allows the measurement and control of a wide variety of quantities. These
include:
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Vibration Analysis
Measuring the frequency, strength (amplitude), and signature (spectrum) of vibrations
is useful in many machine health and industrial monitoring applications. The HF
accelerometers are capable of determining the above parameters over a wide frequency
and displacement range.
Machinery vibration problems consume excessive power and impose additional wear
on bearings, seals, couplings and foundations. Vibrations are typically caused by
machinery misalignment and unbalance; these are detectable via analysis of the FFT
of an acceleration signal. When left uncorrected machinery vibration results in
degraded quality on the machined parts, shorter tool life, unpleasant noise, and
increased maintenance cost. The establishment of a vibration monitoring program
allows potential problems to be identified prior to equipment failure.
Other applications where vibration monitoring maybe useful are:
- Structural Vibration - analysis and identification of vibration sources and problems
in structures
- Product Testing - vibration and shock testing to identify potential design problems
- Acceptance Testing - testing and analysis to ensure products comply with specified
vibration tolerance limits
- Workplace Vibration - measurement and analysis of vibration from hand tools and
other equipment
Inertial Navigation
In inertial navigation acceleration sensors are used for making distance measurements.
Inertial measurements are frequently required in the tracking of planes, boats,
and automobiles over long distances and long time constants. Inertial navigation
is an extremely demanding application for sensors and many factors contribute to
the performance of an inertial navigation system. Alignment, scale factor errors,
and offset errors are crucial, because a constant error in these readings will result
in a quadratically growing position error as given in the following equation

A simple 1 dimensional system is shown in the next Figure 1. This configuration
would be use for measuring the distance traveled by a projectile fired down on tube,
or the quarter-mile time of an automobile on a straight track. The acceleration
is integrated into a velocity signal and a position signal.
|
Figure 1. 1 Dimensional Position Measurement |
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A more complex inertial measurment is that of a 6 degree of freedom system such
as an airplane or spacecraft. These systems are free to move in any direction.
Figure 2 shows the block diagram of such a system. The diagram shows
the basic steps involved in such a system. Crossbow offers a wide range of such
inertial systems already put together.
The IMU, VG, and AHRS series products have been proven in many inertial navigation
settings. The GPS system provides periodic updates in order to prevent error
build-up within the navigation solution. This feedback loop typically makes use
of a control algoirthm such as a Kalman filter. Also notice that the acceleration
readings have to be transformed (rotated) to the Earth frame. This rotation
is necessary because the accelerations as measured by the sensor are referenced
to the local (body) coordinate frame. The distances the system reports are
measured with respect to the Earth.
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Figure 2. 6 DOF Inertial Measurement
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In inertial measurement applications there are two principle questions - What accuracy
is required? and how long does the system have to run without an external position
reading? Table below provides rough answers to these questions for a 1 dimensionsal
system such as the one in Figure 1. TG Series accelerometers are recommended for
these performance demanding applications.
|
Accel Error (mG) |
Integration Time (s) |
Position Error (m) |
|
1 |
1 |
0.005 |
|
1 |
10 |
0.5 |
|
1 |
30 |
4.4 |
|
1 |
60 |
17.7 |
|
1 |
300 |
441.5 |
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5 |
1 |
0.025 |
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5 |
10 |
2.5 |
|
5 |
30 |
22.1 |
|
5 |
60 |
88.3 |
|
5 |
300 |
2207 |
|
10 |
1 |
0.049 |
|
10 |
10 |
4.9 |
|
10 |
30 |
44.1 |
|
10 |
60 |
176.6 |
|
10 |
300 |
4415 |
|
30 |
1 |
0.147 |
|
30 |
10 |
14.7 |
|
30 |
30 |
132.4 |
|
30 |
60 |
529.7 |
|
30 |
300 |
13244 |
The measurement of position inertially is a very difficult task with a reasonable
accuracy. The reason being that the bias/offset variation would result in large
error build-ups over short period of time. You need to have a long term reference
(such as GPS) to correct for these errors.
Tilt / Angle Sensing
Angle sensing is the measurement of angles with an acceleration-based sensor. In
most cases, these measurements are made using the Earth's G field as a reference.
The CXTA, CXTLA and CXTILT series tilt sensors use a micro-machined acceleration
sensing element with a DC response to measure inclination relative to gravity. The
voltage response of the CXTA is a sine function of the tilt angle. Accurately measuring
tilt involves solving the equation shown in figure 3.
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Figure 3. Tilt Measurement
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For angles less than 200, you can approximate the sine function with a linear response.
Then the relationship between angle and Vout is:
Angle = (Vout-Offset_Voltage)/Scale_Factor
These measurements are referred to as sourceless because they require no local reference
and do not have to be physically connected to the shaft or joint creating angular
movement. The Crossbow CXTILT02 sensor is designed specifically for these applications
and an on-line data sheet is available under Tilt Sensors. The LF series analog
output accelerometer can also be used in these applications.
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