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Analysis and Designing of STF Controller
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The goal of a fuzzy controller is to account for the system's changing properties. It serves the same function as the fuzzy logic controller. To fulfil this purpose, the perfect FLC design is now needed; unfortunately, such a controller has yet to be produced since the fuzzy controller is made up of control rules that are imprecisely designed using traditional controller approaches. The parameters of a fuzzy control system are regularly modified via trial and error. To solve these challenges, we need a mechanism that automatically modifies system settings after analysing fuzzy control response A FLC is a collection of established control rules that are often constructed with the use of expert knowledge. It is common to specify the membership functions of the linked input and output language variables. Several performance measures, including peak overshoot, settling time, rise time, integral absolute error and integral-of-time multiplied absolute error, as well as responses due to step set-point change and load disturbance, are compared between the proposed self-tuning FLCs and their corresponding conventional FLCs. The suggested approach outperforms its conventional equivalent in each case.
Keywords
DisFLC; STF; Peak Overshoot; Conventional; Fuzzy Rules.
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