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基于粒子群优化的静电陀螺支承控制优化设计
Optimal Design of Electrostatic Gyroscope’s Suspension Control Based on PSO
【摘要】 静电陀螺支承控制系统的结构和参数优化对提高其性能具有重要影响。利用基于差分进化联合三目标速度方程改进的粒子群优化算法,分别针对具有线性和负刚度特性的静电支承控制系统模型进行了参数优化设计。结果表明,改进的粒子群优化算法具有更快的收敛速度和全局寻优能力。所优化的参数可以提高静电支承控制系统动态性能。
【Abstract】 The structure and parameter optimization of electrostatic gyroscope’s suspension control system is important for its performance improvement.The particle swarm optimization(PSO) algorithm was improved using differential evolution and three target velocity equations and was applied to the linear and negative stiffness model of electrostatic suspension system.The results show the new PSO algorithm was improved on convergence and global optimization.The optimized parameters can upgrade the performance of the controller.
【关键词】 静电陀螺;
负刚度模型;
差分进化;
粒子群优化;
【Key words】 electrostatic gyroscope; negative stiffness model; differential evolution; PSO;
【Key words】 electrostatic gyroscope; negative stiffness model; differential evolution; PSO;
【基金】 “十一五”国防预研基金资助
- 【文献出处】 弹箭与制导学报 ,Journal of Projectiles,Rockets,Missiles and Guidance , 编辑部邮箱 ,2009年05期
- 【分类号】V241.5
- 【被引频次】3
- 【下载频次】76