Study and Design on Fusion of QFT and PID Based on BP Neural Network

The principle and design process of QFT and neural network was proposed. As a sample, the design of QFT controllers for an aero-craft was given. To reject the blindness of the QFT design, a new fusion controller design method with QFT and neural network was proposed. The feedback controller and pre-filter were designed by the new fusion method. Compared the QFT method, the order of controller designed by the new fusion method is lower than the former. The robust performance is ensured. At the same time, the accuracy is improved. The simulation result reveals that compared to the QFT this method can generalize to design the control system in same uncertainty and high non-linearity system.