Comparisons of MRAFCS with the Smith predictor method and a PID controller for a time delay plant

Abstract

This paper proposes a new control method for time delay plant. Some systems have an unavoidable time delay. It is difficult to solve a plant with a time delay which makes the current signal shift and the controlled system become unstable when the time delay varies. Therefore, the authors applied fuzzy reasoning to a model reference adaptive control system. But the fuzzy rule set needs to be tuned by a trial and error type method. In this paper, the fuzzy rule sets are constructed by multi-operator self-tuning genetic algorithms.