基于自适应变异粒子群算法的陀螺仪转子悬浮控制优化设计

Optimization Design of Rotor Suspension Control for a New Gyroscope Based on Adaptive Mutation Particle Swarm Optimization

鉴于传统PID控制方法影响陀螺仪系统测量精度的问题,优化和设计了陀螺仪悬浮系统.根据陀螺仪转子受到悬浮力情况,设计了陀螺仪悬浮系统的控制回路,运用自适应变异粒子群算法对控制回路中控制器的参数进行了优化.仿真结果表明,优化后的陀螺仪控制系统性能比传统PID控制的性能有了明显改善.

In view of the traditional PID control method which affects the measurement accuracy of the gyroscope system,the gyroscope suspension system is designed and optimized.According to the levitation force of the gyroscope rotor,the control loop of the gyro suspension system is designed.The parameters of the controller in the control loop are optimized by adaptive mutation particle swarm optimization(PSO).The simulation results show that the performance of the optimized gyroscope control system is obviously improved compared with the traditional PID control performance.