A Novel Approach to Fuzzy Logic Controller Design
Wenjie Tian, Jicheng Liu · 2010
This paper provides an overview on improved artificial fish swarm algorithm (AFSA) for the automated design and optimization of fuzzy logic controller. A new optimization method for fuzzy logic controller design is proposed. The membership functions of input and output variables are defined by six parameters, which are adjusted to maximize the performance index of the controller by using artificial fish swarm algorithm. This method can shorten coding length, incarnate the characteristic of mutation and improve the capability of search and convergence of algorithm. Simulation experiment on water level controller is discussed by using above method. The simulation results show that fuzzy logic controller based on artificial fish swarm algorithm avoids prematurity effectively and prove its feasibility.