Improvement of Control Performances for Low-Dimensional Number of Fuzzy Labelings. (Using Fuzzy Control Simulator).
Kenichiro Hayashi, Itsuya Muta, Tsutomu HOSHINO, Akifumi Otsubo · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 1994
Recently fuzzy control has been recognized to be of great usefulness in many engineering fields. However, the adjustment of fuzzy control parameters such as control rules, membership functions has been carried out by trial and error, and the definite design method of fuzzy control systems has not been established yet. In this paper, the influences of fuzzy inference methods on control performances have been examined by the simulations of a first order lag system with dead time. Moreover, the improvement of control performances in case of low-dimensional number of fuzzy labelings has been tried. Main results are as follows : (1)When the number of fuzzy labelings is low-dimension such as 3×3 divisions, control performances are dependent on fuzzy inference methods. Therefore, in case of low-dimensional number of fuzzy labelings, the selection of fuzzy inference methods is important. (2) Even in case of low-dimensional number of fuzzy labelings such as 3×3 divisions, by using the simple method of changing the height of the consequent membership function ZO, the non-linear characteristic of a fuzzy controller can be tuned and its control performances can be improved.