Application of Kalman Estimation Techniques with Fuzzy Logic to a Synchro Digitizer | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Article 1, Volume 12, Issue 1, June 2012, Pages 118-126 | ||
| Authors | ||
| Waladin K. Sa; Firas A. Raheem; Lina S. Jajo | ||
| Abstract | ||
| In the quest for digitizing the synchro, this paper proposes a method for processing the synchro format voltages to extract a single reliable shaft angle reading. This eliminates sophisticated and expensive electronic parts and replaces them by software algorithms. Kalman estimation techniques are applied to improve sensor dynamic response, precision and efficiency. Fuzzy logic techniques are used to speed up the estimation process so that the time taken to produce a result is within the time of half a cycle of the excitation frequency (less than 1.25 ms). Wavelet techniques are also used to improve the accuracy much further. The synchro digitizer was simulated using Matlab, and the random noise was taken into effect. Theoretical analysis and experimental data ascertained the above technique. | ||
| Keywords | ||
| synchro; Kalman estimation technique; Fuzzy logic; wavelet filter | ||
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