Fuzzy supervisory PI controller using hierarchical genetic algorithms
Kiatkajohn Worapradya, Suvalai Pratishthananda · 2004
This paper presents a fuzzy supervisory PI controller using a Hierarchical Genetic Algorithm (HGA). HGA which is an optimization algorithm is used to define the optimal number and shape of membership functions, and fuzzy rules. The fuzzy supervisory PI controller is designed and simulated on a heat exchanger system. Sum of square error and sum of absolute error are used as objective functions. Simulation results are compared with the PI controller using ˚Aström and Hägglund tuning. Improved performances can be noticed. 1