Application Research of Intelligent Algorithm in Electric-Driven Flight Simulation Turntable

Application research of intelligent algorithm in electric-driven flight simulation turntable is discussed in this paper. Fuzzy control is used to solve the problem of fast tracking and overshoot since its essence belongs to PD control. In order to improve the performance of system in low speed, a method named variance-gain adaptive algorithm is introduced in this paper. It defines the amplifier gain as a function whose independent variable is speed, so the amplifier gain can automatically be adjusted with the change of speed. When the turntable runs at low speed, it has a big amplifier gain, a good rigidity and high tracking accuracy. When the turntable runs at high speed, the method can control the amplifier gain and ensure the system dynamic performance. Design and implementation of these algorithms is introduced in detail. Experiment results show that the flight simulation turntable has achieved the required performance through using fuzzy control algorithm and variance-gain adaptive algorithm.