Robust sliding mode control with ESO for dual-control missile

Shang, Wei; Tang, Shijie; Guo, Jie; Ma, Yueyue; Yun, Yuhang

doi:10.21629/jsee.2016.05.15

Cited by 4 publications

(1 citation statement)

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“…The same way to construct the disturbance value was used. [15][16][17][18][19] The disturbance and uncertainty estimation has been proposed. 20 The combination of system state feedback and DOB was proposed for the AMBS 3 and for mismatched disturbance system.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system

Giap

Huang

2020

Measurement and Control

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This paper presents the disturbance and uncertainty suppression by using the nonlinear disturbance observer and an extended state observer for a nonlinear active magnetic bearing system. Otherwise, the chattering free is assured by a fuzzy controller, where the fixed sliding mode surface boundary is regulated by fuzzy boundary layer. The stability of the system is guaranteed by Lyapunov condition. First, the nonlinear disturbance observer is presented to estimate the disturbance from outside of the system. Second, the system parameter variations are estimated by an extended state observer with the construction via the estimated disturbance value. Third, the proportional–integral–derivative sliding mode surface has been constructed due to the chattering values that appear from the high-frequency switching control values. Fourth, these chattering values are reduced by using a Mamdani fuzzy logic control. The proposed control methodology was given by the MATLAB simulation. The overshoot value that is equal to zero, narrow settling time, and the average distance tracking error value which is quite small are archived.

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Section: Introductionmentioning

confidence: 99%

Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system

Giap

Huang

2020

Measurement and Control

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Extended state observer based dynamic iterative learning for trajectory tracking control of a six-degrees-of-freedom manipulator

Xu,

Li,

Zhang

2023

ISA Transactions

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Research on Control Strategy of Hamiltonian Theory for Large Telescope Based on SAPMSM

Song,

Cao

2024

IEEE Access

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The azimuth axis drive and control of large telescopes based on Segmented Arc Permanent Magnet Synchronous Motor (SAPMSM) is a current research hotspot, and issues such as unknown parameters and external interference are important factors affecting its tracking accuracy. This paper proposes a SAPMSM perturbation suppression strategy for large telescopes based on port-controlled Hamiltonian (PCH) theory. In this study, the Hamiltonian mathematical model of SAPMSM is established and the current controller of the SAPMSM is designed to reduce harmonics by configuring the required interconnection and damping matrix. In order to further improve the accuracy and anti-disturbance performance of speed feedback, a Generalized Proportional Integral Observer (GPIO) is selected for total disturbance observation, estimation and compensation. The experimental results indicated that the algorithm proposed in this paper has lower harmonic content in the phase current of the SAPMSM, which can ensure good position tracking ability and anti-interference performance of large telescopes.INDEX TERMS Segmented Arc Permanent Magnet Synchronous Motor (SAPMSM), hamiltonian theory, large telescopes, Generalized Proportional Integral Observer (GPIO), anti-interference performance.

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Robust sliding mode control with ESO for dual-control missile

Cited by 4 publications

References 0 publications

Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system

Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system

Extended state observer based dynamic iterative learning for trajectory tracking control of a six-degrees-of-freedom manipulator

Research on Control Strategy of Hamiltonian Theory for Large Telescope Based on SAPMSM

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