TY - GEN
T1 - A novel design and tuning procedure for PID type fuzzy logic controllers
AU - Escamilla-Ambrosio, P. J.
AU - Mort, N.
N1 - Publisher Copyright:
© 2002 IEEE.
PY - 2002
Y1 - 2002
N2 - In this work a new methodology for designing and tuning PID type fuzzy logic controllers (PID-FLC) is presented. The employed PID-FLC is a modified version of a hybrid structure constructed by integrating a PI type FLC and a PD type FLC. First, a direct relationship between the scaling factors of the modified hybrid PID-FLC (MHPID-FLC) and the proportional, integral and derivative actions of its traditional counterpart are established. Thus, based on this relationship, well-known methods used for tuning traditional PID controllers, i.e. the Ziegler-Nichols method, can be used to rind the scaling factors of their fuzzy counterparts. A fine tuning procedure, if necessary, can be followed to further improve the MHPID-FLC performance. This fine-tuning can be developed in two ways: (1) modifying the scaling factors, (2) modifying the control surface of the fuzzy control system inside the MHPID-FLC structure; general guidelines for these procedures are given. The effectiveness of this approach is shown in benchmark processes taken from the literature.
AB - In this work a new methodology for designing and tuning PID type fuzzy logic controllers (PID-FLC) is presented. The employed PID-FLC is a modified version of a hybrid structure constructed by integrating a PI type FLC and a PD type FLC. First, a direct relationship between the scaling factors of the modified hybrid PID-FLC (MHPID-FLC) and the proportional, integral and derivative actions of its traditional counterpart are established. Thus, based on this relationship, well-known methods used for tuning traditional PID controllers, i.e. the Ziegler-Nichols method, can be used to rind the scaling factors of their fuzzy counterparts. A fine tuning procedure, if necessary, can be followed to further improve the MHPID-FLC performance. This fine-tuning can be developed in two ways: (1) modifying the scaling factors, (2) modifying the control surface of the fuzzy control system inside the MHPID-FLC structure; general guidelines for these procedures are given. The effectiveness of this approach is shown in benchmark processes taken from the literature.
KW - PID control
KW - PID fuzzy logic controllers
KW - scaling factors
KW - tuning procedure
KW - two-term fuzzy logic controllers
UR - http://www.scopus.com/inward/record.url?scp=84962854196&partnerID=8YFLogxK
U2 - 10.1109/IS.2002.1044225
DO - 10.1109/IS.2002.1044225
M3 - Contribución a la conferencia
AN - SCOPUS:84962854196
T3 - 2002 1st International IEEE Symposium
SP - 36
EP - 41
BT - 2002 1st International IEEE Symposium "Intelligent Systems", IS 2002 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International IEEE Symposium "Intelligent Systems", IS 2002
Y2 - 10 September 2002 through 12 September 2002
ER -