TY - JOUR
T1 - Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures
AU - Bai, Liang
AU - Feng, Yun Wen
AU - Li, Ning
AU - Xue, Xiao Feng
N1 - Publisher Copyright:
© 2019 Liang Bai, et al.
PY - 2019/2
Y1 - 2019/2
N2 - Combining P-type iterative learning (IL) control, fuzzy logic control and artificial bee colony (ABC) algorithm, a new optimal fuzzy IL controller is designed for active vibration control of piezoelectric smart structures. In order to accelerate the learning speed of feedback gain, the fuzzy logic controller is integrated into the ANSYS finite element (FE) models by using APDL (ANSYS Parameter Design Language) approach to adjust adaptively the learning gain of P-type IL control. For improving the performance and robustness of the fuzzy logic controller as well as diminishing human intervention in the operation process, ABC algorithm is used to automatically identify the optimal configurations for values in fuzzy query table, fuzzification parameters and defuzzification parameters, and the main program of ABC algorithm is operated in MATLAB. The active vibration equations are driven from the FE equations for the dynamic response of a linear elastic piezoelectric smart structure. Considering the vibrations generated by various external disturbances, the optimal fuzzy IL controller is numerically investigated for a clamped piezoelectric smart plate. Results demonstrate that the proposed control approach makes the feedback gain has a fast learning speed and performs excellent in vibration suppression. This is demonstrated in the results by comparing the new control approach with the P-type IL control.
AB - Combining P-type iterative learning (IL) control, fuzzy logic control and artificial bee colony (ABC) algorithm, a new optimal fuzzy IL controller is designed for active vibration control of piezoelectric smart structures. In order to accelerate the learning speed of feedback gain, the fuzzy logic controller is integrated into the ANSYS finite element (FE) models by using APDL (ANSYS Parameter Design Language) approach to adjust adaptively the learning gain of P-type IL control. For improving the performance and robustness of the fuzzy logic controller as well as diminishing human intervention in the operation process, ABC algorithm is used to automatically identify the optimal configurations for values in fuzzy query table, fuzzification parameters and defuzzification parameters, and the main program of ABC algorithm is operated in MATLAB. The active vibration equations are driven from the FE equations for the dynamic response of a linear elastic piezoelectric smart structure. Considering the vibrations generated by various external disturbances, the optimal fuzzy IL controller is numerically investigated for a clamped piezoelectric smart plate. Results demonstrate that the proposed control approach makes the feedback gain has a fast learning speed and performs excellent in vibration suppression. This is demonstrated in the results by comparing the new control approach with the P-type IL control.
KW - Active vibration control
KW - Artificial bee colony algorithm
KW - Fuzzy logic control
KW - P-type IL control
KW - Piezoelectric smart structure
UR - http://www.scopus.com/inward/record.url?scp=85061966134&partnerID=8YFLogxK
U2 - 10.21595/jve.2018.19698
DO - 10.21595/jve.2018.19698
M3 - 文章
AN - SCOPUS:85061966134
SN - 1392-8716
VL - 21
SP - 111
EP - 132
JO - Journal of Vibroengineering
JF - Journal of Vibroengineering
IS - 1
ER -