A design of a model reference fuzzy adaptive controller for linear systems with time delay using MSGA

This paper proposes a new control method for time delay plants. Some systems have an unavoidable time delay in the signal flow between components. It is difficult to solve a plant with a time-variable delay, because time delay makes the current signal shift and the controlled system becomes unstable when the time delay varies. Therefore, we applied fuzzy reasoning to a model reference adaptive control system. The fuzzy rule set needs to be tuned by the trial and error type method. In this paper, the fuzzy rule set is constructed by MSGA (multi-operator self-tuning genetic algorithm).