Study on the structure and algorithm of a feedback fuzzy controller

This paper presents the structure and algorithm of a new fuzzy logic controller which contains a feedback of control action in its input and therefore is called dynamic fuzzy controller, mainly studies the first-order dynamic fuzzy controller and six new corresponding fuzzy inference rules are given. The results show that the performances of the control systems with the first-order dynamic fuzzy logic controller, especially the robustness of resisting uncertainty and anti-time-delay, are much better than those with the traditional static fuzzy controller which has two inputs and forty nine fuzzy inference rules.