The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Algoritma anggaran keadaan baharu dibentangkan untuk kelas sistem LTI yang mempunyai gangguan input dalam bentuk polinomial dan gangguan sensor sinusoidal dalam output pengukuran. Peraturan penyesuaian dibangunkan untuk mengenal pasti magnitud, fasa dan kekerapan gangguan sensor yang tidak diketahui daripada pengukuran keluaran sistem. Untuk penggunaan keputusan pengenalpastian kepada masalah anggaran keadaan, isyarat sinusoidal dengan fasa permulaan arbitrari telah dipertimbangkan dalam kertas ini. Untuk menguji prestasi algoritma yang dicadangkan, simulasi komputer perbandingan telah dijalankan dengan pemerhati keadaan yang mantap. Hasil simulasi menunjukkan keberkesanan kaedah yang dicadangkan.
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Salinan
Young Ik SON, "State Estimation of LTI Systems with Unknown Input and Sensor Disturbances Using Adaptive PI Observer" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 3, pp. 1002-1005, March 2011, doi: 10.1587/transfun.E94.A.1002.
Abstract: A new state estimation algorithm is presented for a class of LTI systems that have an input disturbance in polynomial form and a sinusoidal sensor disturbance in the measurement output. Adaptation rules are developed for identifying the unknown magnitude, phase and frequency of the sensor disturbance from the system output measurement. For the application of the identification result to the state estimation problem, the sinusoidal signal with arbitrary initial phase has been considered in this paper. In order to test the performance of the proposed algorithm, comparative computer simulations have been carried out with a robust state observer. Simulation results show the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.1002/_p
Salinan
@ARTICLE{e94-a_3_1002,
author={Young Ik SON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={State Estimation of LTI Systems with Unknown Input and Sensor Disturbances Using Adaptive PI Observer},
year={2011},
volume={E94-A},
number={3},
pages={1002-1005},
abstract={A new state estimation algorithm is presented for a class of LTI systems that have an input disturbance in polynomial form and a sinusoidal sensor disturbance in the measurement output. Adaptation rules are developed for identifying the unknown magnitude, phase and frequency of the sensor disturbance from the system output measurement. For the application of the identification result to the state estimation problem, the sinusoidal signal with arbitrary initial phase has been considered in this paper. In order to test the performance of the proposed algorithm, comparative computer simulations have been carried out with a robust state observer. Simulation results show the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transfun.E94.A.1002},
ISSN={1745-1337},
month={March},}
Salinan
TY - JOUR
TI - State Estimation of LTI Systems with Unknown Input and Sensor Disturbances Using Adaptive PI Observer
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1002
EP - 1005
AU - Young Ik SON
PY - 2011
DO - 10.1587/transfun.E94.A.1002
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2011
AB - A new state estimation algorithm is presented for a class of LTI systems that have an input disturbance in polynomial form and a sinusoidal sensor disturbance in the measurement output. Adaptation rules are developed for identifying the unknown magnitude, phase and frequency of the sensor disturbance from the system output measurement. For the application of the identification result to the state estimation problem, the sinusoidal signal with arbitrary initial phase has been considered in this paper. In order to test the performance of the proposed algorithm, comparative computer simulations have been carried out with a robust state observer. Simulation results show the effectiveness of the proposed method.
ER -