Comparative between Neuro–fuzzy and PI Controller Temperature of Condenser in Thermal Power Plant (160 MW)

摘要

Objectives: The temperature in the condenser is one of the serious and necessary parameters that should be maintained to harness the fullest efficiency power plant (160 MW) operations. For this reason, the regulation can be achieved by Artificial Intelligence (AI) technology, containing (Hybrid) the neuro–fuzzy system. Methods/Statistical Analysis: ANFIS theory compares with the conventional PID method by using MATLAB/ Simulink program which tracks the temperature levels. Findings: The comparison was made using various parameters (settling time, overshoot, rise time, peak time) and used to excess the thermal efficiency of the condenser by tracking the temperature and to reach the degree of 800C in less time with accuracy, which also lead to maintain the condenser as shown in the results. Application/Improvements: Neuro– fuzzy was the more accurate, superiority and reach the steady state in the short time, while PI represented the being of an overshoot where it causes system malfunction, leading to the driving off operation.