Local search ability of frog leaping algorithm in fuzzy controller parameters optimization

Yifei Chen, Sen Xu

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12A) 192-196

School of Information and Engineering, Yancheng Institute of Technology, Yancheng 224051, Jiangsu, China

To solve the problem of slow searching and poor searching ability in tuning PID controller parameters and optimizing fuzzy controller parameters with basic frog leaping algorithm, this paper proposes an improved shuffled frog leaping algorithm based on PID fuzzy controller parameters optimization. First by adding the self-adaptive learning factor, this new algorithm accelerates the convergence speed, expands the search area of the individuals, and maintains the diversity of population, which extends the search ability to a certain extent. And then by introducing the constriction factor and acceleration factor in the particle swarm optimization algorithm, the updating strategy is improved to speed up the search speed of the algorithm, and at the same time to ensure the convergence of the algorithm. Simulation results show that, the improved shuffled frog leaping algorithm proposed by this paper has excellent performance, and is suitable to PID fuzzy controller parameters optimization