魏文军, 赵雪童. 滑模动态面控制在快速反射镜系统中的应用[J]. 应用光学, 2018, 39(5): 714-721. DOI: 10.5768/JAO201839.0505003
引用本文: 魏文军, 赵雪童. 滑模动态面控制在快速反射镜系统中的应用[J]. 应用光学, 2018, 39(5): 714-721. DOI: 10.5768/JAO201839.0505003
Wei Wenjun, Zhao Xuetong. Application of sliding mode dynamic surface control in fast steering mirror[J]. Journal of Applied Optics, 2018, 39(5): 714-721. DOI: 10.5768/JAO201839.0505003
Citation: Wei Wenjun, Zhao Xuetong. Application of sliding mode dynamic surface control in fast steering mirror[J]. Journal of Applied Optics, 2018, 39(5): 714-721. DOI: 10.5768/JAO201839.0505003

滑模动态面控制在快速反射镜系统中的应用

Application of sliding mode dynamic surface control in fast steering mirror

  • 摘要: 针对快速反射镜系统在捕获、跟踪、瞄准过程中,由于外界环境以及音圈电机机械惯性和电磁惯性所引起的影响跟踪精度以及响应时间的不确定性干扰问题,提出了一种滑模动态面控制器(SMDSC)。此控制器引入跟踪微分器(TD)代替传统动态面控制中的一阶滤波器,改善了一阶惯性环节收敛速度和控制精度不理想的问题,另外控制器将滑模控制和动态面控制相结合,进一步提高了系统的抗干扰能力和跟踪精度。研究表明,设计的SMDSC与传统动态面控制、经典PID控制相比较,上升时间分别提高了62.5%、75%;调节时间分别提高了72%、88%;跟踪精度分别提升了75%、96%。

     

    Abstract: A sliding mode dynamic surface control(SMDSC)strategy was proposed in order to solve the uncertain interference problem which may influence the tracking precision and the response time of the fast steering mirror (FSM)system, due to the external environment and the mechanical inertia and electromagnetic inertia of the voice coil actuator in the course of acquisition, tracking and pointing in FSM system. The controller introduces the tracking differentiator (TD) to instead the first-order filter in the traditional dynamic surface control, which improves the problem of unsatisfactory convergence speed and control precision of the first-order inertial link. Besides, the controller which combines sliding mode control with dynamic surface control further improves the anti-interference ability and tracking accuracy of the system. A large number of simulation studies show that, compared with the traditional dynamic surface control and classical proportional-integral-derivative (PID) control, the designed SMDSC increases by 62.5%, 75% respectively in the response time, 72%, 88% respectively in the adjustment time, and 75%, 96% respectively the tracking accuracy.

     

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