High performance motion control for optical satellite tracking systems

Riel, Thomas; Galffy, Andras; Janisch, Georg; Wertjanz, Daniel; Sinn, Andreas; Schwaer, Christian; Schitter, Georg

doi:10.1016/j.asr.2019.11.039

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…Therefore, it is essential to mitigate the impact of these adverse factors to improve the precision and stability of the telescope pointing system. Currently, for the telescope's high-precision pointing control methods, Thomas et al [9] have employed a combination of robust loop shaping and disturbance observer methods to ensure robust stability across the entire operational range. This approach enhances the performance of precision satellite systems and reduces the servo error by a factor of 3.8.…”

Section: Introductionmentioning

confidence: 99%

Research on High-Stability Composite Control Methods for Telescope Pointing Systems under Multiple Disturbances

Zhang,

Zhao,

Fang

et al. 2024

Sensors

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During the operation of space gravitational wave detectors, the constellation configuration formed by three satellites gradually deviates from the ideal 60° angle due to the periodic variations in orbits. To ensure the stability of inter-satellite laser links, active compensation of the breathing angle variation within the constellation plane is achieved by rotating the optical subassembly through the telescope pointing mechanism. This paper proposes a high-performance robust composite control method designed to enhance the robust stability, disturbance rejection, and tracking performance of the telescope pointing system. Specifically, based on the dynamic model of the telescope pointing mechanism and the disturbance noise model, an H∞ controller has been designed to ensure system stability and disturbance rejection capabilities. Meanwhile, employing the method of an H∞ norm optimized disturbance observer (HODOB) enhances the nonlinear friction rejection ability of the telescope pointing system. The simulation results indicate that, compared to the traditional disturbance observer (DOB) design, utilizing the HODOB method can enhance the tracking accuracy and pointing stability of the telescope pointing system by an order of magnitude. Furthermore, the proposed composite control method improves the overall system performance, ensuring that the stability of the telescope pointing system meets the 10 nrad/Hz1/2 @0.1 mHz~1 Hz requirement specified for the TianQin mission.

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Section: Introductionmentioning

confidence: 99%

Research on High-Stability Composite Control Methods for Telescope Pointing Systems under Multiple Disturbances

Zhang,

Zhao,

Fang

et al. 2024

Sensors

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“…Currently, many methods have been proposed for disturbance rejection in electrooptical tracking systems. Techniques like adaptive control [12], disturbance observers (DOB) [13], active disturbance rejection control (ADRC) [14,15] are utilized for system disturbance rejection. These methods offer higher system adaptability, stronger disturbance resistance, and better capability to handle complex dynamic environments compared to PID control.…”

Section: Introductionmentioning

confidence: 99%

Extended State Kalman Filter-Based Model Predictive Control for Electro-Optical Tracking Systems with Disturbances: Design and Experimental Verification

Xia,

Mao,

Zhang

et al. 2024

Actuators

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A modified Extended State Kalman Filter (ESKF)-based Model Predictive Control (MPC) algorithm is introduced to tailor the enhanced disturbance suppression in electro-optical tracking systems. Traditional control techniques, although robust, often struggle in scenarios with concurrent internal, external disturbances, and sensor noise. The proposed algorithm effectively overcomes these limitations by precisely estimating system states and actively mitigating disturbances, thus significantly boosting noise and perturbation control resilience. The primary contributions of this study include the integration of ESKF for accurate system state and disturbance estimation in noisy environments, the embedding of an ESKF estimation-compensation loop to simulate an improved disturbance-free system, and a simplified modeling approach for the controlled device. This designed structure minimizes the reliance on extensive system identification, easing the predictive control model-based constraints. Moreover, the approach incorporates total disturbance estimation into the optimization problem, safeguarding against actuator damage and ensuring high tracking accuracy. Through rigorous simulations and experiments, the ESKF-based MPC has demonstrated enhanced model error tolerance and superior disturbance suppression capabilities. Comparative analyses under varying model parameters and external disturbances highlight its exceptional trajectory tracking performance, even in the presence of model uncertainties and external noise.

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“…Considering the nonlinearity of the AMB system and coupled multibody dynamics, a suitable controller for multibody spacecraft is required. Some nonlinear control methods have been studied in the literature for the nonlinear and coupled system, such as robust control (Bai et al, 2019), high-precision tracking control (Riel et al, 2020), sliding-mode control (Chen et al, 2019; Yu and Xie, 2019), adaptive control (Hu et al, 2020; Wu et al, 2020a), backstepping control (Feng et al, 2020; Yu et al, 2014), and iterative learning control (Gao et al, 2013; Wang et al, 2013). These control methods are efficient in addressing imbalance and uncertainty problems.…”

Section: Introductionmentioning

confidence: 99%

An Unscented Kalman Filter–based iterative learning controller for multibody rotating scan optical spacecraft

Zhao

Geng

Yuan³

et al. 2022

Transactions of the Institute of Measurement and Control

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In this paper, to address the periodic control problem facing high-precision observation for multibody rotating scan optical spacecraft connected with active magnetic bearing (AMB), the Unscented Kalman Filter (UKF)–based iterative learning controller (UILC) is proposed. In the UILC, an adaptive backstepping controller (ABC) is deployed in the main loop to make the system state converge, and an UKF module is substituted for the memory module to use feedback information in real time and eliminate error propagation between adjacent periods. In the paper, the 9 degrees of freedom (DOF) error discrete dynamics are first derived to facilitate the convergence proved in the discrete domain. Then, the convergence analysis of the closed-loop system is investigated, and the state error supremum of closed-loop system in the mean square is indicated. Finally, for a comparison with the classical iterative learning controller (ILC), a series of numerical simulations are performed. As indicated by the simulation results, the UILC is capable of eliminating periodic deviation and error propagation during the adjacent periods.

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High performance motion control for optical satellite tracking systems

Cited by 7 publications

References 13 publications

Research on High-Stability Composite Control Methods for Telescope Pointing Systems under Multiple Disturbances

Research on High-Stability Composite Control Methods for Telescope Pointing Systems under Multiple Disturbances

Extended State Kalman Filter-Based Model Predictive Control for Electro-Optical Tracking Systems with Disturbances: Design and Experimental Verification

An Unscented Kalman Filter–based iterative learning controller for multibody rotating scan optical spacecraft

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