PI Controller Design of Heat Control Systems using ATS and PSO
Keywords:
PI Controller, Particle Swarm Optimization (PSO), Adaptive Tabu Search (ATS)Abstract
This paper presents the artificial intelligence-based PI controller design that results in better performance of the system output response compared with the conventional method. The mathematical model using AC-DC-AC power conversion circuit with a PI controller derived from the generalized state-space averaging method to take control parameters that appear in the model as an objective function in search process. The design of this controller will be applied in conjunction with a heat control systems for a small fuel ethanol production plants that has been developed. The adaptive tabu search and the particle swarm optimization method are used as the searching algorithms for this paper. The algorithm searches the controller parameters of both temperature and current. In addition, the realism is checked the limitation of control signal to confirm that the resetting parameters can be implemented.
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