A Switching-inverter power controller based on fuzzy adaptive PID

Focusing on strong nonlinearity and time variation of switching-inverter power, this paper presents a fuzzy adaptive PID control algorithm. This algorithm not only avoids complex modeling of the controlled object, but also combines advantages of fuzzy control and PID control. In addition, this algorithm realizes real-time and effective online control for switching-inverter power by setting parameters of PID based on fuzzy reasoning. Furthermore, the control algorithm improves steady-state precision and dynamic performance of system, either of which the PID algorithm can be realized simultaneously. A simulation model of system was made aiming at the response of unit step, constant load and cyclical load simulation. The simulation results show that the switching-inverter power based on fuzzy adaptive PID has excellent control performance and self-adjustable ability, and this controller improves the output waveform.