Open AccessSelf-Tuning PID-Genetic Algorithm Controller for Steam Drum Boiler Water Level Control System
Author(s) -
Mohamad Abdul Hady,
Mohamad Yusuf,
Ali Fatoni,
Imam Arifin
Publication year - 2021
Publication title -
jaree (journal on advanced research in electrical engineering)
Language(s) - English
Resource type - Journals
eISSN - 2580-0361
pISSN - 2579-6216
DOI - 10.12962/jaree.v5i2.102
Subject(s) - setpoint , pid controller , control theory (sociology) , boiler (water heating) , drum , power station , genetic algorithm , control system , control engineering , engineering , computer science , temperature control , control (management) , mechanical engineering , waste management , electrical engineering , artificial intelligence , machine learning
A control system with uncertainty or unpredictable disturbance needs more effort to be controlled. A conventional PID Controller is the most popular method used in industries. It was tuned and adjusted by the designer, and it has fixed parameters during operation. However, the disturbance effect causes the desired system performance unreachable. By using a self-tuning controller, the problem should be tackled. In this paper, the PID-Genetic Algorithm (PID-GA) controller was proposed and tested with the steam drum water level control system of a steam power plant. Variation in power load causes noisy water level characteristics and should be maintained at + 0.4 meters from the setpoint to prevent the power plant trip. From the simulation, PID-GA can reduce disturbance of the minimum, nominal, and maximum load with perturbation peaks 0.18 m, 0.22 m, and 0.26 m respectively.Keywords: genetic algorithm, NWL, PID-GA, steam drum, steam power plant.