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Disturbance observer based controller design for inertially stabilized platform

机译:基于扰动观测器的惯性稳定平台控制器设计

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Inertially stabilized platform (ISP) is indispensable for various imaging systems to segregate the base angular movement and achieve high LOS (Line-Of-Sight) stability. The disturbance rejection ratio and command following performance are of primary concern in designing ISP control systems. In this paper, the redundant gimbals ISP system is considered and it is shown to experience complex disturbance and parameter variation during operation. To meet advanced LOS stabilization requirement, a disturbance observer based (DOB) dual-loop controller design for ISP is proposed of which the DOB is the internal-loop. Using a nominal plant model and a low-pass filter, the disturbance signal is estimated and used as a cancellation input added to the current command of torque motor. If the DOB works well, the disturbance torque and mismatch between nominal plant and actual plant will be compensated and the internal-loop will behave as nominal model parameters. On the other hand, the external-loop will be designed for nominal model parameters to meet stabilization requirements. This paper will mainly focus on the DOB design method. Since the low-pass filter of DOB determines the sensitivity and complementary sensitivity function as will be shown in this paper, designing the filter is the most important consideration. In this paper, an optimal low-pass filter design method is proposed. The method is intuitive, simple to implement and allows on-line tuning. Simulation results show the performance enhancement of our control structure in the presence of disturbance and measurement noise.
机译:惯性稳定平台(ISP)对于各种成像系统来说是必不可少的,以隔离基本角运动并实现高LOS(视线)稳定性。在设计ISP控制系统时,主要考虑的因素是干扰抑制比和命令跟随性能。在本文中,考虑了冗余万向节ISP系统,该系统在运行过程中会遇到复杂的干扰和参数变化。为了满足高级LOS稳定要求,提出了一种基于干扰观测器的基于ISP的DOB双环控制器设计,其中DOB为内环。使用标称工厂模型和低通滤波器,可以估算出干扰信号,并将其用作抵消输入,添加到转矩电动机的电流指令中。如果DOB运行良好,则将补偿名义工厂与实际工厂之间的干扰转矩和不匹配,并且内部回路将充当名义模型参数。另一方面,将为名义模型参数设计外部环路,以满足稳定性要求。本文将主要关注DOB设计方法。由于DOB的低通滤波器决定了灵敏度和互补灵敏度函数,如本文所示,因此设计滤波器是最重要的考虑因素。本文提出了一种优化的低通滤波器设计方法。该方法直观,易于实施并且允许在线调整。仿真结果表明,在存在干扰和测量噪声的情况下,我们的控制结构的性能得到了增强。

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