系统工程与电子技术

• 制导、导航与控制 • 上一篇    下一篇

基于扩张观测器的反射镜平台自适应鲁棒控制

宋江鹏1,2, 周荻1, 孙广利2   

  1. 1. 哈尔滨工业大学控制科学与工程系, 黑龙江 哈尔滨 150001;
    2. 天津津航技术物理研究所, 天津 300308
  • 出版日期:2017-03-23 发布日期:2010-01-03

Adaptive robust control for mirror platform based on extended state observer

SONG Jiangpeng1,2, ZHOU Di1, SUN Guangli2   

  1. 1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;
    2. Tianjin Jinhang Institute of Technical Physics, Tianjin 300192, China
  • Online:2017-03-23 Published:2010-01-03

摘要:

针对反射镜稳定平台视轴运动强耦合和非线性的特点,同时考虑外界干扰力矩和建模误差的不确定性,设计了一种基于扩张观测器的反射镜稳定平台自适应鲁棒控制器。首先,利用光学矢量理论和动量矩定理建立了某型反射镜稳定平台的动力学模型。然后,在此基础上,引入非线性自适应鲁棒控制器,对摩擦参数和转动惯量等系统参数进行在线调整,对摩擦力矩进行了有效补偿,并保证了自适应学习的稳定性。同时,采用扩张观测器准确的获取了未知外界干扰力矩。最后,仿真和实验结果表明了所设计的控制器在隔离外界扰动和提高跟踪精度方面的有效性和可行性。

Abstract:

According to axis coupled and nonlinear of the line-of-sight (LOS) kinematics in mirror stabilization platforms, an adaptive robust control (ARC) mirror platform based on extended state observer (ESO) is designed considering the external disturbance and the modeling error. Firstly, the dynamic modeling of an bias shafting mirror platform is derived based on the optical vector reflection law and theorem of moment of momentum. Then, the ARC controller is designed, which ensures the adaptive learning stability and can online adjust the system parameters such as friction parameters and moment of inertia. Meanwhile, the ESO is used to observe the unknown extern disturbance. Finally, simulations and experimental results validate the effectiveness of the designed controller and show that the controller can significantly reject extern disturbances and improve position tracking accuracy.