Fuzzy Model Reference Learning Control with Convergent Rule Base*

New approach to adaptation ensuring convergence of the controller rule base in fuzzy model reference learning control (FMRLC) method will be introduced in this paper. The proposed method guarantees for a time-invariant plant that after few steps of adaptation the controller becomes fixed and needs not to be further tuned that results in faster response in comparison to the original FMRLC method. The main idea consists in using an additional information about the controlled system. The advantages of the proposed modification are presented on control of magnetic suspension system.