Seema Chopra and R. Mitra and Vijay Kumar
Neural Network Tuned Fuzzy Controller for MIMO System
1320 - 1327
2007
1
9
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/5332
https://publications.waset.org/vol/9
World Academy of Science, Engineering and Technology
In this paper, a neural network tuned fuzzy controller
is proposed for controlling MultiInput MultiOutput (MIMO)
systems. For the convenience of analysis, the structure of MIMO
fuzzy controller is divided into single input singleoutput (SISO)
controllers for controlling each degree of freedom. Secondly,
according to the characteristics of the systems dynamics coupling, an
appropriate coupling fuzzy controller is incorporated to improve the
performance. The simulation analysis on a twolevel mass–spring
MIMO vibration system is carried out and results show the
effectiveness of the proposed fuzzy controller. The performance
though improved, the computational time and memory used is
comparatively higher, because it has four fuzzy reasoning blocks and
number may increase in case of other MIMO system. Then a fuzzy
neural network is designed from a set of inputoutput training data to
reduce the computing burden during implementation. This control
strategy can not only simplify the implementation problem of fuzzy
control, but also reduce computational time and consume less
memory.
Open Science Index 9, 2007