TY - GEN
T1 - Position control of an electromagnetic actuator using model predictive control
AU - Hasan, M. D.Shakib
AU - Hafni, Ali El
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/18
Y1 - 2017/10/18
N2 - The use of an electromagnetic actuator (EA) is a promising way to replace conventional mechanical actuation such as valve actuation in machines. However, in order to achieve a better performance than mechanical actuation, new control strategies have to be investigated. In this paper, a novel control algorithm based on model predictive control (MPC) is proposed that is able to satisfy all the system and the strict valve positioning requirements. Specifically, a finite set-MPC (FS-MPC) controller together with a proportional integral (PI) controller is used. Additionally, a state estimator based on the Kalman estimator is employed. Simulation results obtained on an EA model show an improved performance with respect to the existing classical control strategies.
AB - The use of an electromagnetic actuator (EA) is a promising way to replace conventional mechanical actuation such as valve actuation in machines. However, in order to achieve a better performance than mechanical actuation, new control strategies have to be investigated. In this paper, a novel control algorithm based on model predictive control (MPC) is proposed that is able to satisfy all the system and the strict valve positioning requirements. Specifically, a finite set-MPC (FS-MPC) controller together with a proportional integral (PI) controller is used. Additionally, a state estimator based on the Kalman estimator is employed. Simulation results obtained on an EA model show an improved performance with respect to the existing classical control strategies.
KW - Electromagnetic Actuators
KW - Finite-Set Model Predictive Control
KW - Position control
KW - Proportional Integral Controller
UR - http://www.scopus.com/inward/record.url?scp=85039933603&partnerID=8YFLogxK
U2 - 10.1109/PRECEDE.2017.8071265
DO - 10.1109/PRECEDE.2017.8071265
M3 - Conference contribution
AN - SCOPUS:85039933603
T3 - Proceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
SP - 37
EP - 41
BT - Proceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
Y2 - 4 September 2017 through 6 September 2017
ER -