An improved fuzzy algorithm with dynamically adjusting the basic control quantity and the scaling factor

According to the characteristic of the first-order system with the time-delay and the large inertia, the paper proposes a grading fuzzy control algorithm based on the object specified value. The basic control quantity and the scaling factor are adjusted dynamically. The self-adjusting factor varies with the different control stage. Simulation with a typical first-order air conditioner system shows that unproved fuzzy control algorithm can eliminate the steady-state error and restrain over modulation. The respond speed is rapid. The control frequent is smooth. Due to combining the look-up table with calculation on-line, the hardware resource is also economized.