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Modeling and design of appropriate compensation for DTG (Dynamically Tuned Gyroscope) and improving sensor response using a Kalman filter

机译:为DTG(动态调谐陀螺仪)进行适当补偿的建模和设计,并使用卡尔曼滤波器改善传感器响应

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Dynamically tuned gyroscopes (DTGs) are one the most common sensors which widely used in navigation fields. As in the navigation systems, all of the calculations of the control and guidance unit are correlated to the sensors and on the other hand, almost all of the sensors include white noise, so it is much prominent to implement a control method based on some novel procedures enabling the system to reduce the noise. In this study, at first, a DTG was modeled and it was tried to present an accurate nonlinear model for that. Accordingly, a classic controller including Lag-Lead compensator was designed to stabilize the system. Then this linear controller was applied to both nonlinear and linear system. Obtained results and the comparison of them demonstrated the desired performance of the system in tracking of the system output. Afterwards, a Kalman Filter was applied in order to decrease the deleterious noise in the sensor output where gained simulation results confirmed the appropriate performance of the presented system.
机译:动态调谐陀螺仪(DTG)是在导航领域中广泛使用的最常见的传感器之一。与导航系统一样,控制和制导单元的所有计算都与传感器相关联,另一方面,几乎所有传感器都包含白噪声,因此基于某种新颖的控制方法的实现非常重要。使系统减少噪音的程序。在本研究中,首先,对DTG进行建模,并尝试为此提供精确的非线性模型。因此,设计了包括滞后补偿器的经典控制器来稳定系统。然后将此线性控制器应用于非线性和线性系统。获得的结果和它们的比较证明了在跟踪系统输出时系统的期望性能。此后,为了减少传感器输出中的有害噪声,应用了卡尔曼滤波器,其中获得的仿真结果证实了所提出系统的适当性能。

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