Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter

Mehdi Hazaz; Toshiyuki Murakami

doi:10.1109/INDIN.2018.8471930

Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter

Mehdi Hazaz, Toshiyuki Murakami

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Disturbance observer based compensation is a popular technique in motion control to compensate for the difference between an actual plant and its nominal model. Conventional implementation with pseudo derivative performs poorly when the measurement noise is large and the bandwidth has to be decreased. Low pass derivative FIR filters provide a frequency response closer to the ideal response than comparable pseudo derivative filters. This paper proposes a disturbance observer with low pass derivative FIR filter for DC motor with position measurement. The proposal is validated with numerical simulations.

Original language	English
Title of host publication	Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	921-926
Number of pages	6
ISBN (Electronic)	9781538648292
DOIs	https://doi.org/10.1109/INDIN.2018.8471930
Publication status	Published - 2018 Sept 24
Event	16th IEEE International Conference on Industrial Informatics, INDIN 2018 - Porto, Portugal Duration: 2018 Jul 18 → 2018 Jul 20

Publication series

Name	Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018

Other

Other	16th IEEE International Conference on Industrial Informatics, INDIN 2018
Country/Territory	Portugal
City	Porto
Period	18/7/18 → 18/7/20

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems and Management
Industrial and Manufacturing Engineering

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10.1109/INDIN.2018.8471930

Cite this

Hazaz, M., & Murakami, T. (2018). Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter. In Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018 (pp. 921-926). [8471930] (Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN.2018.8471930

Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter. / Hazaz, Mehdi; Murakami, Toshiyuki.
Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 921-926 8471930 (Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hazaz, M & Murakami, T 2018, Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter. in Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018., 8471930, Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018, Institute of Electrical and Electronics Engineers Inc., pp. 921-926, 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, 18/7/18. https://doi.org/10.1109/INDIN.2018.8471930

Hazaz M, Murakami T. Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter. In Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 921-926. 8471930. (Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018). doi: 10.1109/INDIN.2018.8471930

Hazaz, Mehdi ; Murakami, Toshiyuki. / Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter. Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 921-926 (Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018).

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Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter

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