Variable Universe Fuzzy Control Based on Multilayer Ant Colony Algorithm
ZHAO Yun-Tao1, WANG Jing1, XIE Xin-Liang1, HOU Qiang2
1.National Engineer Research Center of Advanced Rolling, University of Science and Technology Beijing, Beijing 100083 2.Technology Center, Taiyuan Iron and Steel Corporation, Taiyuan 030003
Abstract Aiming at the low accuracy and poor adaptation of the fuzzy control algorithm, an adaptive fuzzy controller with variable universe is proposed. Firstly, based on the theory of ant colony optimization (ACO), a multilayer ant colony algorithm for continuous domains is designed. Through decomposing solution space into finite grids, the proposed algorithm is realized by three-stage search strategy with the progress of iterations, and heterogeneous mechanism is utilized at each stage. Secondly, the intelligent algorithm is used to optimize the contraction and expansion factors. Thus, the universe of fuzzy controller is adjusted on line according to performance indicator. Meanwhile, the adaptive fuzzy controller with variable universe is adopted to hydraulic servo system of medium plate. Finally, the simulation results show that the convergence speed of the system with adaptive fuzzy controller is higher than that of others. And the proposed control strategy has fine property in effectiveness and robustness.
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2009, Vol. 22 
