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CONDENSER AND DEAERATOR CONTROL USING FUZZY-NEURAL TECHNIQUE | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 3, Issue 1, 2007, Pages 79-96 PDF (0 K) | ||
| DOI: 10.33762/eeej.2007.55283 | ||
| Authors | ||
| Abduladhem A. Ali; ayad Sh. Mohammed | ||
| Abstract | ||
| A model reference adaptive control of condenser and deaerator of steam power plant is presented. A fuzzy-neural identification is constructed as an integral part of the fuzzy-neural controller. Both forward and inverse identification is presented. In the controller implementation, the indirect controller with propagating the error through the fuzzy-neural identifier based on Back Propagating Through Time (BPTT) learning algorithm as well as inverse control structure are proposed. Simulation results are achieved using Multi Input-Multi output (MIMO) type of fuzzy-neural network. Robustness of the plant is detected by including several tests and observations | ||
| Keywords | ||
| Power plant control; Fuzzy neural; Condenser control; Dearator control; MIMO control | ||
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