Abstract
Research on the implementation of inductive proximity sensors in active magnetic bearings is performed in this paper. LDC1000 digital sensors manufactured by Texas Instruments are used since they claim to provide precision measured in microns and simple acquisition of the output data. The Sensor chip is connected with the sensing coil which is placed inside the magnetic bearing, close to electromagnets. This newly developed system created a platform for research in signal quality and its resistance to electrical noise. The controller used in this application was Texas Instruments TMS320F28335 digital signal processor (DSP). Software for data acquisition from LDC1000 was written and implemented in DSP using Code Composer Studio development environment. Two different output data are acquired and processed: proximity data and frequency count. Graphs presented in this paper show different resistance to electrical noise. A conclusion derived from this research can be applied in an industry where electromagnetic noise exists, together with the need for precise distance measurement.
Highlights
Active magnetic bearings are used in a variety of applications where low rolling resistance and absence of lubricants are an imperative
Graphs presented in this paper show different resistance to electrical noise
The magnetic bearing has three LDC1000 sensor coils which are evenly distributed at a mutual angle of 120 degrees and are connected over a DIMM-100 socket to the general purpose input output (GPIO) pins of the TMS320F28335
Summary
Active magnetic bearings are used in a variety of applications where low rolling resistance and absence of lubricants are an imperative. Rotating element in such bearings is partially or fully levitated. Accurate displacement measurement of the rotating element ensures safe and efficient operation. This task is usually under the responsibility of proximity sensors which are an active part of bearing’s control system. In order to provide reliable data, sensors need to fulfil different requirements; among the most important are precision, reliability and noise resistance. Precision includes linearity of output signal while reliability is needed for ensuring the safe operation
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