An improved simplified rules Fuzzy Logic Speed Controller method applied for induction motor drive

Experimental simplified rule of self tuning fuzzy logic-model reference adaptive speed controller for induction motor drive

“…The membership function and rule of fuzzy are designed in the second part. Range -2 to 2 MF error is designed to cover wider speed operation [24], while the MF change of error and output are designed in range -1 to 1. A combination between the trapezoid and triangular shapes with 50% overlap is used to design the MF [12] as shown in Figure 3 for error (e) and Figure 4 for change of error (ce) and output (cu).…”

“…Therefore, the computational burden decreased automatically. In this paper, fuzzy rules are simplified based on the dominant rules selection method [24]. Thus, from 25 rules, only 7 rules were given the most significant.…”

“…Thus, from 25 rules, only 7 rules were given the most significant. The blue box highlight in Table 1 state the number of rules as the result of the simplified selected rules method [24]…”

“…The simplification rule method is one of the popular techniques that have been proposed in order to reduce computational requirements FLC. As a result, this technique reduces the number of fuzzy rules with minimum effect for fuzzy variables coverage and output decisions [22][23][24]. Another technique to reduce computerize burden to realize self-tuning in real-time implementation by using a different type of fuzzy from Mamdani to Takagi Sugeno (TS) [25].…”