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Control for an active magnetic bearing machine with two hybrid electromagnet actuators

This thesis work begins with the revision of state of the art about active magnetic bearings
(AMB), the mathematical methods used to obtain geometric and physical parameters that
will influence in the mechanical, electrical design and control system proposed by this
prototype.
The control system will activate the magnetic bearing to center its shaft, for which it is joined
a variable load in order to study the best control performance under different load over the
rotor proposed by requirements. When the rotor is not controlled in its own axis even though
variable load, a position error will occur that will be corrected by the program of a control
system that will center the shaft (rotor).
For this design was evaluated generalized AMB models [2], [3], [4] to validate the best
identification for this design, furthermore as a consequence to get the best performance for
the control system as it was achieved by generalized models and it was evaluated the
advantage of this AMB machine through “Two hybrid electromagnet actuators” and variable
load fixed to its shaft. For this reason, it was necessary to test a simple AMB with only one
electromagnet actuator [4], due to compare enhancement of hybrid characteristics for the
electromagnet actuators, for which, also it was evaluated how many actuators could be
necessary to join to an AMB system with the target to get the control. It means, in this work
there are comparisons between a simple AMB, generalized AMB models and this design,
owing to show the achievements of this design.
In order to show experimental results in state of the art, it is known that Siemens presented
Simotics Active Magnetic Bearings technology for wear free operation in large – machine
applications, regulated magnetic fields hold the rotor in suspension precisely without oil or
contact, to make this task, sensors capture the position of the shaft 16000 times per second
and a regulator adjusts the magnetic field to keep the rotor hovering precisely in the bearing
center [1].
By other side the author [4] describes the experimental results in which is proposed that at
low speed the bearing parameters are mainly determined by the controller characteristics.
While at high speed, the bearing parameters are not only related to the control rule but also
related to the speed. This may be due to the influence of eddying effect. [4]
Furthermore, by author [3], the algorithm to get fast responses in front of disturbances, the
disadvantages of these algorithms are given by not enough memory space to execute them,
due to computing time is short compared with rotor displacement response time, and it is
defined that it could be possible to execute the control algorithm through a real-time
operating system to obtain the desired response [3].
Finally, in reference [6] it is described about filtering every noise as additive white
Gaussian noise, by a predictive filter, which is obtained by analyzing Least Mean Square
(LMS) and feedback/feedforward algorithm.

Identiferoai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/19548
Date24 June 2021
CreatorsLozano Jauregui, John Hugo
ContributorsTafur Sotelo, Julio Cesar
PublisherPontificia Universidad Católica del Perú, PE
Source SetsPontificia Universidad Católica del Perú
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess, Atribución 2.5 Perú, http://creativecommons.org/licenses/by/2.5/pe/

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