Control by adaptive table

In order to improve the control performance of fuzzy logic controller (FLC) and to be convenient for implementing control algorithms by using microprocessors, we present a control scheme of looking up adaptive control table based on fuzzy control theory in this paper. To eliminate the steady-state error of fuzzy control system, a necessary and sufficient condition is proved, which guides to design the control table. The control system predicts the desired control action needed for removing the steady-state error online and optimizes the control table dynamically. The steady-state error can be removed without using any integrators in the control system. The simulation results show that: no matter how the gain of the controlled plant is fixed or alterable, the control system has both good performance and high precision.