基于改进粒子群算法的超声悬浮陀螺仪转子位置控制优化设计

Optimal Design of Rotor Position Control for Ultrasound Suspension Gyroscope Based on Improved Particle Swarm Optimization

为了提高超声悬浮陀螺仪转子位置控制的动态性能,设计了改进粒子群算法优化的转子位置控制器。首先,进行了转子声悬浮力分析;其次,设计了转子系统的位置控制回路;再次,用改进粒子群算法对位置控制器参数进行了优化。仿真结果表明,优化后的陀螺仪转子位置控制系统的动态性能明显改善。

In order to improve the dynamic performance of rotor position control of ultrasonic suspended gyroscope,a rotor position controller optimized by the improved particle swarm optimization algorithm is designed.Fristly,the acoustic levitation force of the rotor is analysed.Secondly,The position control loop of rotor system is designed.Thirdly,the parameters of position controller are optimized by the improved particle swarm optimization.The simulation results show that the dynamic performance optimized of position control system of gyroscope rotor is obviously improved.