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基于人工鱼群算法的伺服系统PID控制器参数优化 被引量:3

Parameters Optimization Based on Artificial Fish-school Swarm Algorithm for Servo System PID Controller
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摘要 在分析数控机床进给伺服系统数学模型的基础上,采用一种基于人工鱼群算法优化PID控制器参数,并与传统的Ziegler-Nichols法进行比较.仿真实验结果表明:人工鱼群PID控制方法的效果明显优于传统的PID控制,具有良好的动态和稳态性能. On the basis of analyzing the mathematical model of numerical control machine tool servo system, the parameters optimization method of the PID controller based on artificial fish-school swarm algorithm was adopted and compared with the conventional method of Ziegler-Nichols. The results of simulation experiment demonstrate that the effect using artificial fish-school swarm algorithm is obviously superior to the traditional method for PID control and the former possesses good dynamic and stable performance.
出处 《兰州交通大学学报》 CAS 2012年第4期117-120,共4页 Journal of Lanzhou Jiaotong University
基金 兰州交通大学"青蓝"人才基金
关键词 人工鱼群算法 PID控制 伺服系统Matlab仿真 artificial fish-school swarm algorithm PID control servo system Matlab simulation
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