TY - JOUR
T1 - Research on computer load simulation algorithm using dynamic damping compensation of bench
AU - Zhao, Lukai
AU - Qiang, Song
AU - Wang, Guanfeng
AU - Shang, He
AU - Yan, Ming
N1 - Publisher Copyright:
© 2021 Institute of Physics Publishing. All rights reserved.
PY - 2021/10/5
Y1 - 2021/10/5
N2 - According to the load simulation algorithm structure of hardware-in-the-loop test, this paper proposes a dynamic damping compensation inverse model control algorithm based on the system transfer model of two classic load simulation algorithms. The dynamic damping compensation algorithm and the classical load simulation algorithms are compared and analyzed in online HIL testing to show the control effect. The experimental results show that the proposed compensation algorithm can achieve the dynamic response of the bench test well, and improve the accuracy and robustness of the bench test.
AB - According to the load simulation algorithm structure of hardware-in-the-loop test, this paper proposes a dynamic damping compensation inverse model control algorithm based on the system transfer model of two classic load simulation algorithms. The dynamic damping compensation algorithm and the classical load simulation algorithms are compared and analyzed in online HIL testing to show the control effect. The experimental results show that the proposed compensation algorithm can achieve the dynamic response of the bench test well, and improve the accuracy and robustness of the bench test.
KW - HIL test
KW - Load simulation algorithm
KW - Parameter identification
UR - http://www.scopus.com/inward/record.url?scp=85117449941&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2033/1/012103
DO - 10.1088/1742-6596/2033/1/012103
M3 - Conference article
AN - SCOPUS:85117449941
SN - 1742-6588
VL - 2033
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012103
T2 - 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021
Y2 - 12 June 2021 through 13 June 2021
ER -