Adaptive internal model control using inverses of signals

In this paper, we propose a newi adaptive IMC scheme based on adaptive finite impulse response filters using inverses of signals. which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by the normalized least mean squares algorithm as a finite impulse response system and the inverse of the system is designed using the inverses of signals concept. The closed-loop is designed such that the system from the reference input to plant output can be approximately represented by a pure delav. The use of inverses of signals simplifies the real time implementation of the controller and cancellation of non-cancellable zeros of the plant can be avoided. Ultimately, the plant output is forced to track the reference input with a delay. The stability of the closed-loop for both minimum and nonminimum phase systems is guaranteed. The results of computer simulation and laboratory scale experiments are included in the paper to show the effectiveness of the proposed method.