Resolver, due to its reliability and durability, has been used for the aim of shaft
position sensing of military rotary systems such as tank turrets and gun stabilization
platforms for decades. Ready-to-use resolver-to-digital converter integrated circuits
which convert the resolver signals into position and speed measurements are
utilized in servo systems most commonly. However, the ready-to-use integrated
circuits increase the dependency of the servo system to hardware components which
in turn decrease the efficiency and flexibility of the servo system for changing
system structures such as for changing resolver carrier frequency or changing
position and speed sensors. The proposed solution to increase the efficiency and
flexibility of the servo system is a software-based resolver-to-digital converter
which does not require aforesaid special hardware components and presents a
complete software-based solution for the conversion. The proposed software-based
resolver-to-digital converter makes use of common programmable hardware
v
components, that is, FPGA and DSP which form the heart of the servo controller
technology in recent years.
The proposed structure for the conversion has three components. The first
component is the signal conditioner which minimizes the disturbances coming from
the resolver signals as harmonic distortions and noise. The second component, the
phase-sensitive demodulator, as the name implies, is responsible for phase-sensitive
demodulation of resolver signals. The third component is the estimator filter. In
order to determine the optimal estimator filter, five different estimator filters with
the aforesaid two components are implemented in ASELSAN&rsquo / s stabilized gun
system STAMP and they are compared in terms of both estimation performance and
computational complexity. The implemented filters include nonlinear observer type
filter which is already proposed in the literature for resolver conversion, tracking
differentiator adapted to resolver conversion and kalman filters adapted to resolver
conversion in different forms such as linear kalman filter, extended kalman filter
and unscented kalman filter. At the end of the study, stability and sensitivity
analyses are also performed for the proposed system.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12611925/index.pdf |
| Date | 01 May 2010 |
| Creators | Zengin, Yasin |
| Contributors | Erkmen, Ismet |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
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