Study on application of model reference adaptive control in fast steering mirror system

Wang, Zhengxi; Bao, Zhang; Li, Xiantao; Zhang, Shitao

doi:10.1016/j.ijleo.2018.07.095

Cited by 18 publications

(5 citation statements)

References 15 publications

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“…The blue box in the diagram shows the 2D coarse scanning platform model [20,21]. The green box shows the FSM model [22,23]. The orange box shows the optical coupling model, describing the relationship between 2D platform motion, FSM motion and image motion.…”

Section: Modelingmentioning

confidence: 99%

Research on 2D Image Motion Compensation for a Wide-Field Scanning Imaging System with Moving Base

Chang,

Chen,

Cao

et al. 2023

Photonics

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The wide-field imaging system carried on a high-altitude or near-space vehicle takes high-resolution images of the ground to measure and map targets. With the improvement of imaging resolution and measurement accuracy, the focal length of the wide-field imaging system is getting longer. The requirement for image motion compensation (IMC) accuracy is getting higher, and the influence of optical path coupling is increasing within the process of two-dimensional (2D) IMC. To further improve the IMC accuracy of the wide-field imaging system, an innovative IMC method is first proposed in this paper. The method is based on the 2D motion of the scanning platform and secondary mirror. Secondly, to solve the optical coupling problem in the process of 2D IMC, the coupling phenomenon is analyzed. The coupling relationships between 2D scanning motion, 2D secondary mirror motion and image motion is derived from the compensation process. A complete 2D IMC model is established, and a 2D IMC method, including an optical path decoupling correct regulator (ODCR), is designed. Finally, the method is verified in laboratory and field flight tests. The results show that the proposed method can effectively correct the coupling error of the optical path in the process of IMC and achieve high-resolution 2D IMC. When the scanning speed is 60°/s and the exposure time is 2 ms, the accuracy of the 2D IMC is up to 0.57pixels (RMS) in the pitch direction, and 0.46 pixels (RMS) in the roll direction.

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Section: Modelingmentioning

confidence: 99%

Research on 2D Image Motion Compensation for a Wide-Field Scanning Imaging System with Moving Base

Chang,

Chen,

Cao

et al. 2023

Photonics

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“…Figure 4 shows the MRAC structure designed to control a system whose mathematical model is unknown. MRAC is a control method that tries to bring the error between two output signals closer to zero by approximating the output of the system (real system) to be controlled and the reference model output [36].…”

Section: Model Reference Adaptive Controllermentioning

confidence: 99%

“…In this approach, known as the MIT rule, the limits of the γ value, which determines the adaptation rate for MRAC, are system dependent and it is not possible to specify exact limits. If the adaptation speed is increased or decreased too much, the θ parameter values oscillate too much and instability occurs [36]. Due to the uncertainties in the MIT rule, in order to construct the MRAC adaptation algorithm, a positive definite and negative definite Lyapunov function is needed in the approach based on the Lyapunov stability concept [37].…”

Section: Model Reference Adaptive Controllermentioning

confidence: 99%

Level Control of Blast Furnace Gas Cleaning Tank System with Fuzzy Based Gain Regulation for Model Reference Adaptive Controller

2022

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Iron making processes and automation systems are mostly controlled by logical rules and PID controllers. The dynamic behavior of these processes varies due to factors such as raw materials, outdoor conditions, and equipment aging. Changes in system dynamics necessitate re-determination of PID controller parameters. Model reference adaptive controllers (MRACs) are used in many industrial application areas with their adaptability to variable conditions. In this study, an MRAC is applied in the gas cleaning tank system level control problem in the blast furnace facility, which is at the center of the iron making processes. In addition, fuzzy based gain regulation is proposed to improve MRAC performance. MRAC and PID controller system control results are observed and compared. The fast response and adaptation performance of the proposed fuzzy MRAC approach along with external disturbance effects are analyzed. Fuzzy based gain regulation MRAC performances show better performance especially in level change as well as disturbance effect.

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“…Studies show that model reference adaptive control guarantees rapid convergence of dynamic response of the system to the desired model, and the finite-time adaptive controller also helps to improve the dynamic response in the time domain 12 – 14 Despite their excellences in given environments, they offer no reference on how to cope with random disturbance over a wide-spread band of frequency, and many of them deal with a voice coil actuator, whereas the AISP in this study is equipped with a piezo-driven FSM.…”

Section: Introductionmentioning

confidence: 99%

Image stabilization of airborne inertial stabilization platform using fast steering mirror

Yoon,

Kim,

Choi

et al. 2024

Opt. Eng.

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One of the most important missions of an airborne inertial stabilization platform (AISP) is to acquire the image of the target with high resolution. It is challenging for the AISP to acquire such high-quality images because the AISP is continuously exposed to a significant level of vibration from the airplane, which is transformed into exogenous disturbance torque. As a consequence, the AISP suffers line-of-sight jitter that undermines the image quality. Although the conventional mass stabilization system is capable of rejecting exogenous disturbance torque only within a low frequency band, the introduction of a fast steering mirror (FSM) can significantly expand the disturbance rejection capacity. This paper describes how the introduction of the FSM improves the image stabilization capacity. On top of the conventional mass stabilization system of gimbaled mechanism with inertial sensor feedbacks, we implement the FSM that covers high frequency band within the optical path from the telescopes of the AISP to its image sensor. A high gain FSM controller is designed through the loop-shaping method and applied to the piezo-electric actuator driven FSM, which shows a sufficiently high bandwidth for rejecting the exogenous disturbance of our interest. The results from both actuation data and acquired images demonstrate the effectiveness of the FSM in the image stabilization of the AISP.

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Study on application of model reference adaptive control in fast steering mirror system

Cited by 18 publications

References 15 publications

Research on 2D Image Motion Compensation for a Wide-Field Scanning Imaging System with Moving Base

Research on 2D Image Motion Compensation for a Wide-Field Scanning Imaging System with Moving Base

Level Control of Blast Furnace Gas Cleaning Tank System with Fuzzy Based Gain Regulation for Model Reference Adaptive Controller

Image stabilization of airborne inertial stabilization platform using fast steering mirror

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