Dynamic Compensators for Nonlinear Systems Using T-S Fuzzy Models: A Comparative Study and HIL Implementation
Michael Klug, Luís F. P. Silva · 2018
This paper studies the computational burden of discrete-time nonlinear control systems using T-S fuzzy models considering a Hardware-in-the-loop (HIL) implementation. The classical T-S modeling is compared to a recent fuzzy modeling technique which is based on the use of nonlinear local rules. This technique allows that certain nonlinearities satisfying a sector bounded condition remain in the T-S fuzzy model representation, reducing number of fuzzy rules. Particularly, the digital implementation of dynamic compensators is addressed in this paper considering an FPGA development board. HIL simulations are applied to demonstrate the advantages of the nonlinear fuzzy modeling approach.