为了提高单自由度主动磁悬浮轴承系统的稳定性,采用随机权重粒子群算法与传统PID控制相结合的方法,将随机权重粒子群算法与线性递减权重粒子群算法进行函数测试对比,结果表明,随机权重粒子群算法能够更快、更准确地找出优化函数的最优值.通过MATLAB/Simulink构建系统模型并进行仿真对比,证明随机权重粒子群算法可以更好地提高系统的稳定性.%In order to improve stability of active magnetic bearing system with single degree of freedom,a random weight particle swarm algorithm is combined with traditional PID control.The random weight particle swarm algorithm and linear decreasing weight particle swarm algorithm are compared by function test.The results show that the random weight particle swarm algorithm is able to find out optimal value of optimization function faster and more accurately.The system model is constructed by MATLAB/Simulink,and the simulation comparison is carried out,it is proved that the random weight particle swarm algorithm is able to improve stability of system better.
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