TY - GEN
T1 - On Disturbance Rejection of Load Simulator Using Model-based ESO
AU - Wu, Jinshu
AU - Chen, Songlin
AU - He, Zongru
AU - Wang, Xin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/21
Y1 - 2018/8/21
N2 - To increase the suppression rate of surplus torque of load simulator, this paper proposes a high-performance model-based extended state observer(ESO) to estimate the total disturbance and compensate the system as the nominal model of actual system. First the third-order model-based ESO is designed for a class of second-order systems in which the model information is used in ESO structure to improve performance. And a parameter tuning method with better noise suppression ability and observation performance, instead of the classic pole-placement method, is used to obtain accurate disturbance observation, which can effectively enhance the surplus torque suppression ability of the load simulator. Furthermore, experiments on actual load simulator are conducted to verify the effectiveness and superiority of this method.
AB - To increase the suppression rate of surplus torque of load simulator, this paper proposes a high-performance model-based extended state observer(ESO) to estimate the total disturbance and compensate the system as the nominal model of actual system. First the third-order model-based ESO is designed for a class of second-order systems in which the model information is used in ESO structure to improve performance. And a parameter tuning method with better noise suppression ability and observation performance, instead of the classic pole-placement method, is used to obtain accurate disturbance observation, which can effectively enhance the surplus torque suppression ability of the load simulator. Furthermore, experiments on actual load simulator are conducted to verify the effectiveness and superiority of this method.
UR - https://www.scopus.com/pages/publications/85053107278
U2 - 10.1109/ICCA.2018.8444356
DO - 10.1109/ICCA.2018.8444356
M3 - 会议稿件
AN - SCOPUS:85053107278
SN - 9781538660898
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 668
EP - 673
BT - 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PB - IEEE Computer Society
T2 - 14th IEEE International Conference on Control and Automation, ICCA 2018
Y2 - 12 June 2018 through 15 June 2018
ER -