000K  utf8
0100  1779847610
0500  Ou
1100  2021$c2021-09-15
1500  eng
2051  10.1016/j.ifacol.2021.08.335
2240  
3000  Jahn, Benjamin
3010  Shardt, Yuri A. W.
4000  Modulation-function-based finite-horizon sensor fault detection for salient-pole PMSM using parity-space residuals  [Jahn, Benjamin]
4060  6 Seiten
4209  An online model-based fault detection and isolation method for salient-pole permanent magnet synchronous motors over a finite horizon is proposed. The proposed approach combines parity-space-based residual generation and modulation-function-based filtering. Given the polynomial model equations, the unknown variables (i.e. the states, unmeasured inputs) are eliminated resulting in analytic redundancy relations used for residual generation. Furthermore, in order to avoid needing the derivatives of measured signals required by such analytic redundancy relations, a modulation-function-based evaluation is proposed. This results in a finite-horizon filtered version of the original residual. The fault detection and isolation method is demonstrated using simulation of various fault scenarios for a speed controlled salient motor showing the effectiveness of the presented approach.
4950  https://doi.org/10.1016/j.ifacol.2021.08.335$xR$3Volltext$534
4961  http://uri.gbv.de/document/gvk:ppn:1779847610
5051  621.3