A new fuzzy logic control scheme for enhanced performance: simulation and experimental studies

Abstract

In most fuzzy logic control schemes, the control signal is determined by using the error signal, e(.), and its first derivative, e̊ (.), as the input signals. In this paper, these inputs signals e(.) and e̊ (.) are modified respectively to e_m (.) and e̊_m (.), where e_m (.) is given by e(.) + k_me̊ (.) and k_m is a constant. This modification enables the performance of the overall system to be further improved through a proper choice of k_m . Moreover, the proposed scheme is simple and easy to implement as the number of signal to be measured remains unchanged after the modification. A non-linear power system is first chosen to demonstrate the effectiveness of the proposed scheme through simulations. The proposed scheme is specifically applied to enhance the damping of the mechanical mode oscillation of this non-linear power system. A real-time experimental study which involves the control of a servomotor is then performed.