19-10-2012, 05:12 PM
Intelligent Control of the Lift Model
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Abstract:
The paper provides the analysis of the lift model
controlled by voice and sensor control panel. The model
is constructed by using average powered controller, it has
voice recognition, programmable terminal and logical lift
program, which connect them all. The model can be
easily reprogrammed in order to have various working
regimes and thus is suitable for training students with the
broad automation specialization. Presented system could
be used in the smart house projects and, especially for
disabled people. The modification of the well-known DTW
(Dynamic Time Warping) algorithm was used. The set of
voice commands consisted of eight Lithuanian words
(floor number, go, stop) and two phrases (greeting and
goodbye). The recognition accuracy of eight voice
commands was equal 100%, two commands were
recognized with some errors. The voice controlled lift
model was demonstrated in the exhibition “Science-
2002” in Lithuania.
INTRODUCTION
Rational and accurate movement control of separate
mechanisms, devices and other parts is very important in
lots of technological equipment. Most frequently,
executive devices are electric drives and collection,
processing and forming of control algorithm is conducted
by electronic-digital means in such systems. Automation
specialists of the broad qualification are required for
creating and exploiting such mechatronic systems. A lot
of up-to-date control elements and software is used for
these specialists’ training. Therefore the model of the lift,
which is suitable for training purposes because it contains
all parts of a control system used in any industrial lift is
presented in this article.
THE PROJECTION BASED SPEECH RECOGNITION ALGORITHM
Model of a lift can be controlled by a small number of
voice commands (floor number, stop and go), but the high
recognition accuracy of voice commands is necessary.
Speaker independent recognition would be more
convenient, because it would not be necessary to train the
recognition program for a new user. But speaker
independent recognition is more complicated than speaker
dependent one and ensures less recognition accuracy.
Therefore speaker dependent projection based recognition
algorithm was selected [1]. It is based on very small
number of non-uniformly spaced feature vectors in
opposition to 5-10 msec stated speech preprocessing.
3. THE MODEL OF A VOICE CONTROLLED LIFT
A scheme of the model of a voice-controlled lift is
All system is controlled by OMRON controller
C200HX. Three connection units are used for connection
with the object. These units enable to have three ways of
cage position control:
• an exact stopping of the cage using two speed
modes which can be switched on by using floor
contacts;
• an exact stopping by switching on sensors of the
cage position in the floor as the cage approaches
the stopping place and forming the contour of the
cage position control;