TY - GEN
T1 - Adaptive Sliding Mode Control for a pH Neutralization Reactor
T2 - 5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021
AU - Estrada, Juan Sebastián
AU - Camacho, Oscar
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/12
Y1 - 2021/10/12
N2 - This document presents an Adaptive Sliding Mode Controller fusing TS fuzzy systems and Smith Predictor concepts. A fuzzy multimodel of the plant to overcome the issues due to variable parameters is introduced. A pH neutralization reactor can be locally modeled using empirical models represented, around different operating points, as FOPDT models. Several set points and disturbances are used for testing the proposed approach.
AB - This document presents an Adaptive Sliding Mode Controller fusing TS fuzzy systems and Smith Predictor concepts. A fuzzy multimodel of the plant to overcome the issues due to variable parameters is introduced. A pH neutralization reactor can be locally modeled using empirical models represented, around different operating points, as FOPDT models. Several set points and disturbances are used for testing the proposed approach.
KW - Dominant Deadtime systems
KW - High Non-linear Systems
KW - Sliding Mode Controller
KW - Smith Predictor
KW - Takagi-Sugeno Fuzzy Systems
UR - https://www.scopus.com/pages/publications/85119421598
U2 - 10.1109/ETCM53643.2021.9590774
DO - 10.1109/ETCM53643.2021.9590774
M3 - Contribución a la conferencia
AN - SCOPUS:85119421598
T3 - ETCM 2021 - 5th Ecuador Technical Chapters Meeting
BT - ETCM 2021 - 5th Ecuador Technical Chapters Meeting
A2 - Huerta, Monica Karel
A2 - Quevedo, Sebastian
A2 - Monsalve, Carlos
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 October 2021 through 15 October 2021
ER -