This paper proposes a design of the self-adaptive learning fuzzy controller based on Genetic Algorithms optimization.Researching how this theory optimizes the parameters of fuzzy control in the whole scope is taken.Considering the implementation of hardware

the discussion is focused on the generation of control rules and the dynamic learning of the rules store.Some new computational methods are used based on traditional genetic algorithms.The nonlinear control system of inverted pendulum is simulated on-line with this design

by simulate tools-Simulink in Matlab

which proves the validity and the applicability of this proposed control method.This approach also provides a valuable theory basis to the implementation of hardware chip.