Advanced Fuzzy Logic Control system for Thermal Power Plant

Rajesh Singh Shekhawat
2017 International Journal for Research in Applied Science and Engineering Technology  
An objective of this paper is too familiar with fuzzy logic and fuzzy modeling. Its incorporation in embedded systems could lead to enhanced performance, increased simplicity and productivity, reduced cost and time to-market, along with other benefits in power system. In this paper, we try to explain fuzzy logic control for AGC and comparing with other controlling methods like PID, Type-1 FLC. Where we calculate the comparison overshoot, undershoot and settling time in controlling system. 193
more » ... JRASET (UGC Approved Journal): All Rights are Reserved B. Rule Base and Fuzzy Sets for type-2 Fuzzy Logic Controller Similar to type-1fuzzy logic controller, type-2 FLC also based on 49 rules. These fuzzy logic rules are in "if and then" format. These rules can be placed in form of table (as in table 1) . Here error and differential error are two inputs of fuzzy logic controller as given in figure 1.
doi:10.22214/ijraset.2017.8273 fatcat:gkjixu7qive5na7lxe25tqd5we