TY - GEN
T1 - Data Driven Sliding Mode Control
T2 - 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
AU - Aboukheir, Hanna
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Sliding mode control (SMC) is a robust control strategy that is effective against disturbances, delays and model uncertainties; but similar to other control strategies, SMC is a model-based control method, and the complexity of certain industrial processes makes model estimation a highly difficult task. Furthermore, the growing interest on Industry 4.0 and the new requirements for control loops raise some questions about the future role of this controller in the industrial field. In this work a design methodology for sliding mode control based on data-driven control concepts is presented. Beginning with an extended-state Kalman filter for unknown output estimation, with this information the discrete-time reachability law is derived for the calculation of the control law. Finally, the proposal is evaluated in a simulated mixing plant and implemented on the TCLAB process.
AB - Sliding mode control (SMC) is a robust control strategy that is effective against disturbances, delays and model uncertainties; but similar to other control strategies, SMC is a model-based control method, and the complexity of certain industrial processes makes model estimation a highly difficult task. Furthermore, the growing interest on Industry 4.0 and the new requirements for control loops raise some questions about the future role of this controller in the industrial field. In this work a design methodology for sliding mode control based on data-driven control concepts is presented. Beginning with an extended-state Kalman filter for unknown output estimation, with this information the discrete-time reachability law is derived for the calculation of the control law. Finally, the proposal is evaluated in a simulated mixing plant and implemented on the TCLAB process.
KW - Kalman Filter
KW - Sliding mode control
KW - State estimation
KW - data-driven systems
KW - model-free
UR - https://www.scopus.com/pages/publications/85179508736
U2 - 10.1109/ETCM58927.2023.10308977
DO - 10.1109/ETCM58927.2023.10308977
M3 - Contribución a la conferencia
AN - SCOPUS:85179508736
T3 - ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
BT - ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
A2 - Lalaleo, David Rivas
A2 - Chauvin, Manuel Ignacio Ayala
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 October 2023 through 13 October 2023
ER -