Compensation Control Study of Deadzone Using Adaptive Fuzzy Logic

The deadzone compensation using adaptive fuzzy logic is studied To implement self tuning scaling gains of the input fuzzy variables ,a weight function is constructed through defining a state distance from the ideal equilibrium point When the system is close to the stable state, the scaling gains notably enlarge and the adaptive deadzone compensation is accomplished.The simulation results show the proposed method can cancel out the deadzone effect and have not the oscillatory response