TY - GEN
T1 - Modelling, Control and Position Estimation for Linear Permanent Magnet Actuators
AU - Hafni, Ali El
AU - Tian, Wei
AU - Kennel, Ralph
AU - Heldwein, Marcelo Lobo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, modelling, control and position estimation for a linear electromagnetic actuator with a permanent magnet mover is presented. A hybrid methodology combining analytical and Finite Element Method (FEM) is adopted for modelling of the actuator. An online parameter estimation method is presented for estimating the electrical parameters based on current switching instant sampling. Two controllers are implemented: the Linear Quadratic Regulator (LQR) and the Proximate Time Optimal Servo Controller (PTOS). Position estimation is realized through the Luenberger Observer.
AB - In this paper, modelling, control and position estimation for a linear electromagnetic actuator with a permanent magnet mover is presented. A hybrid methodology combining analytical and Finite Element Method (FEM) is adopted for modelling of the actuator. An online parameter estimation method is presented for estimating the electrical parameters based on current switching instant sampling. Two controllers are implemented: the Linear Quadratic Regulator (LQR) and the Proximate Time Optimal Servo Controller (PTOS). Position estimation is realized through the Luenberger Observer.
UR - https://www.scopus.com/pages/publications/85178039114
U2 - 10.1109/LDIA59564.2023.10297475
DO - 10.1109/LDIA59564.2023.10297475
M3 - Conference contribution
AN - SCOPUS:85178039114
T3 - 2023 14th International Symposium on Linear Drivers for Industry Applications, LDIA 2023
BT - 2023 14th International Symposium on Linear Drivers for Industry Applications, LDIA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Symposium on Linear Drivers for Industry Applications, LDIA 2023
Y2 - 28 June 2023 through 30 June 2023
ER -