TY - GEN
T1 - Bandwidth improvement of Disturbance Observer with Low Pass Derivative FIR Filter
AU - Hazaz, Mehdi
AU - Murakami, Toshiyuki
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/24
Y1 - 2018/9/24
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85055472012&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055472012&partnerID=8YFLogxK
U2 - 10.1109/INDIN.2018.8471930
DO - 10.1109/INDIN.2018.8471930
M3 - Conference contribution
AN - SCOPUS:85055472012
T3 - Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
SP - 921
EP - 926
BT - Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Industrial Informatics, INDIN 2018
Y2 - 18 July 2018 through 20 July 2018
ER -