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        Precise Braking Torque Control for Momentum Flywheels Based on a Singular Perturbation Analysis

        Zhou, Xinxiu,Su, Dan The Korean Institute of Power Electronics 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.4

        Momentum flywheels are widely applied for the generation of small and precise torque for the attitude control and inertial stabilization of satellites and space stations. Due to its inherited system nonlinearity, the tracking performance of the flywheel torque/speed in dynamic/plug braking operations is limited when a conventional controller is employed. To take advantage of the well-separated two-time-scale quantities of a flywheel driving system, the singular perturbation technique is adopted to improve the torque tracking performance. In addition, the composite control law, which combines slow- and fast- dynamic portions, is derived for flywheel driving systems. Furthermore, a novel control strategy for plug braking dynamics, which considers couplings between the Buck converter and the three-phase inverter load, is designed with easy implementation. Finally, experimental results are presented to demonstrate the correctness of the analysis and the superiority of the proposed methods.

      • KCI등재

        Precise Braking Torque Control for Momentum Flywheels Based on a Singular Perturbation Analysis

        Xinxiu Zhou,Dan Su 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.4

        Momentum flywheels are widely applied for the generation of small and precise torque for the attitude control and inertial stabilization of satellites and space stations. Due to its inherited system nonlinearity, the tracking performance of the flywheel torque/speed in dynamic/plug braking operations is limited when a conventional controller is employed. To take advantage of the well-separated two-time-scale quantities of a flywheel driving system, the singular perturbation technique is adopted to improve the torque tracking performance. In addition, the composite control law, which combines slow- and fast- dynamic portions, is derived for flywheel driving systems. Furthermore, a novel control strategy for plug braking dynamics, which considers couplings between the Buck converter and the three-phase inverter load, is designed with easy implementation. Finally, experimental results are presented to demonstrate the correctness of the analysis and the superiority of the proposed methods.

      • KCI등재

        A Parameter Identification Method Based on Forgetting Factor Dynamic Adjustment for PMSM Applied to the Rapid Control of Satellite Attitude

        Shun Li,Xinxiu Zhou 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.1

        In the vacuum environment of space, the attitude of the satellite can be adjusted by PMSM based on the law of conservation of momentum. The adjustment method of satellite attitude is that the PMSM must rotate in opposite direction quickly when the attitude of the satellite needs to be adjusted in positive direction. In order to receive the ground signals effectively or to communicate with other equipment in space reliably, it requires that the PMSM can be co-rotation and reversal frequently. Therefore, before restart, the stator inductances must be recognized quickly to estimate initial rotor position, with which, the PMSM can get large starting torque to guarantee a quick and reliable restart. This paper presents a dynamic correction method for the identification forgetting factor. With the proposed method, the convergence rate of parameter estimation is obviously accelerated, and the fluctuation of parameter estimation is obviously reduced. Finally, the inductances can be identified quickly and accurately. PMSM can achieve fast and steady forward co-rotation and reversal frequently.

      • A new hybrid model for MR elastomer device and parameter identification based on improved FOA

        Yang Yu,Amir M. Yousefi,Kefu Yi,Jianchun Li,Weiqiang Wang,Xinxiu Zhou 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.5

        A new hysteresis model based on curve fitting method is presented in this work to portray the greatly nonlinear and hysteretic relationships between shear force and displacement responses of the magnetorheological (MR) elastomer base isolator. Compared with classical hysteresis models such as Bouc-Wen or LuGre friction model, the proposed model combines the hyperbolic sine function and Gaussian function to model the hysteretic loops of the device responses, contributing to a great decline of model parameters. Then, an improved fruit fly optimization algorithm (FOA) is proposed to optimize the model parameters, in which a self-adaptive step is employed rather than the fixed step to balance the global and local optimum search abilities of algorithm. Finally, the experimental results of the device under both harmonic and random excitations are used to verify the performance of the proposed hybrid model and parameter identification algorithm with the satisfactory results.

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