微特电机 ›› 2018, Vol. 46 ›› Issue (3): 43-46.doi: 1004-7018-46-3-43-46

• 驱动控制 • 上一篇    下一篇

基于多目标优化的电机驱动伺服转台切换模型

叶超1,郭绪猛1,张倩2,王群京2   

  1. 1. 中国电子科技集团公司第三十八研究所,合肥 230088
    2. 安徽大学,合肥 230601
  • 收稿日期:2017-09-05 出版日期:2018-03-28 发布日期:2018-03-28
  • 作者简介:叶超(1981—),男,硕士,高级工程师。
  • 基金资助:
    国家自然科学基金项目(51507001);国家自然科学基金项目(51637001);国家自然科学基金项目(51407002)

Switched System Model of Motor-Drive Servo Turntable Based on Multi-Objective Optimization

YE Chao1, GUO Xu-meng1, ZHANG Qian2, WANG Qun-jing2   

  1. 1. China Electronics Technology Group Corporation No.38 Research Institute,Hefei 230088,China
    2. Anhui University,Hefei 230601,China
  • Received:2017-09-05 Online:2018-03-28 Published:2018-03-28

摘要:

与平稳运行时相比,电机驱动伺服转台在过零或低速的工况下,会呈现出不良的系统特性。应用多个子模型分别描述伺服转台在不同工作状态下的输入输出关系,并基于切换系统理论建立整体的非线性模型。为辨识切换系统模型参数,构建有约束多目标优化问题,并应用多目标粒子群优化算法,对该问题进行求解。交叉验证实验比对说明了该切换模型的有效性。

关键词: 伺服转台, 切换系统, 参数辨识, 有约束多目标优化问题, 多目标粒子群优化算法

Abstract:

Compared with the normal stable working condition, the motor-drive servo turntable shows different features in the operations of zero crossing distortion or low-speed. Several various subsystem models were applied to input-output relationship. The switched system theory was introduced to the global modeling of servo turntable. The identification issue was converted into a constrained multi-objective optimization problem (CMOP). Moreover, the multi-objective particle swarm optimization (MOPSO) algorithm was applied to the CMOP, and the parameters estimation was obtained as a result. Finally the effectiveness of switched system was supported by simulation results and comparison of the cross-validation experiment.

Key words: servo turntable, switched system, parameters identification, constrained multi-objective optimization problem (CMOP), multi-objective particle swarm optimization algorithm (MOPSO)

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