TY - GEN
T1 - An improved fuzzy integration control method without quantification
AU - Zhang, Weiguo
AU - Zhao, Zhong
AU - Duan, Fuhai
AU - Yang, Xiangzhong
N1 - Publisher Copyright:
© 1999 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1999
Y1 - 1999
N2 - In this paper, dynamic inversion method is used to decouple a multivariable system. Then by canceling traditional fuzzy quantification operation and based on analytical optimal correction function and on-line interpolation, two improved design methods for fuzzy controllers are provided. A class of nonlinear P1D controllers is formed when traditional PI controllers are joined after the improved fuzzy controllers immediately. Both methods can essentially remove the system's steady-state errors and flutter phenomenon, which are caused by the fuzzy quantification errors and regulating dead bands in the traditional fuzzy control system. Finally, by combining the improved fuzzy control methods with the dynamic inversion method, a kind of dynamic decoupling fuzzy integration control method for multivariable systems is constructed. The integration control system designed by this method possesses not only excellent decoupling results and better control performance, but also stronger adaptability to the parameter changes in the system. In addition, an example and its simulation results are also provided.
AB - In this paper, dynamic inversion method is used to decouple a multivariable system. Then by canceling traditional fuzzy quantification operation and based on analytical optimal correction function and on-line interpolation, two improved design methods for fuzzy controllers are provided. A class of nonlinear P1D controllers is formed when traditional PI controllers are joined after the improved fuzzy controllers immediately. Both methods can essentially remove the system's steady-state errors and flutter phenomenon, which are caused by the fuzzy quantification errors and regulating dead bands in the traditional fuzzy control system. Finally, by combining the improved fuzzy control methods with the dynamic inversion method, a kind of dynamic decoupling fuzzy integration control method for multivariable systems is constructed. The integration control system designed by this method possesses not only excellent decoupling results and better control performance, but also stronger adaptability to the parameter changes in the system. In addition, an example and its simulation results are also provided.
KW - Decoupling
KW - Dynamic inversion
KW - Fuzzy control
KW - Without quantification
UR - https://www.scopus.com/pages/publications/79952207907
U2 - 10.1115/detc99-vib-8398
DO - 10.1115/detc99-vib-8398
M3 - 会议稿件
AN - SCOPUS:79952207907
T3 - Proceedings of the ASME Design Engineering Technical Conference
SP - 3177
EP - 3180
BT - 17th Biennial Conference on Mechanical Vibration and Noise
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1999 Design Engineering Technical Conferences, DETC 1999
Y2 - 12 September 1999 through 16 September 1999
ER -