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

作　　者：向楠[1] 朱炼[2] 

机构地区：[1]安徽国防科技职业学院汽车工程系,安徽六安237011 [2]安徽工商职业学院电子信息系,安徽合肥231131

出　　处：《淮海工学院学报（自然科学版）》2017年第2期12-15,共4页Journal of Huaihai Institute of Technology:Natural Sciences Edition

基　　金：安徽省高校自然科学基金重点项目(KL2016A118;KJ2015A450);安徽省高校优秀青年人才支持计划重点项目(gxyqZD2016462)

摘　　要：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.

关 键 词：新型陀螺仪 悬浮系统 自适应变异粒子群算法 优化 

分 类 号：TP272[自动化与计算机技术—检测技术与自动化装置]