Robust Predictive Speed Regulation of Converter-Driven DC Motors via a Discrete-Time Reduced-Order GPIO

Yang, Jun; Wu, Han; Hu, Liang; Li, Shihua

doi:10.1109/tie.2018.2878119

Cited by 84 publications

(50 citation statements)

References 42 publications

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“…In accordance with the aforementioned, different approaches have been proposed for a DC motor fed by a DC/DC Buck converter when the unidirectional rotation of the motor shaft is considered [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. This unidirectional rotation emerges because the Buck converter only delivers unipolar voltages.…”

Section: Discussion Of Related Work and Contributionmentioning

confidence: 99%

New “Full-Bridge Buck Inverter–DC Motor” System: Steady-State and Dynamic Analysis and Experimental Validation

et al. 2019

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A mathematical model of a new "full-bridge Buck inverter-DC motor" system is developed and experimentally validated. First, using circuit theory and the mathematical model of a DC motor, the dynamic behavior of the system under study is deduced. Later, the steady-state, stability, controllability, and flatness properties of the deduced model are described. The flatness property, associated with the mathematical model, is then exploited so that all system variables and the input can be differentially parameterized in terms of the flat output, which is determined by the angular velocity. Then, when a desired trajectory is proposed for the flat output, the input signal is calculated offline and is introduced into the system. In consequence, the validation of the mathematical model for constant and time-varying duty cycles is possible. Such a validation of this mathematical model is tackled from two directions: (1) by circuit simulation through the SimPowerSystems toolbox of Matlab-Simulink and (2) via a prototype of the system built by using Matlab-Simulink and a DS1104 board. The good similarities between the circuit simulation and the experimental results allow satisfactorily validating the mathematical model.

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Section: Discussion Of Related Work and Contributionmentioning

confidence: 99%

New “Full-Bridge Buck Inverter–DC Motor” System: Steady-State and Dynamic Analysis and Experimental Validation

et al. 2019

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“…Based on the results reported in other works, [28][29][30][31][32][33] the uncertainties T d are approximately estimated byT d with the expressionT…”

Section: Ude-based Feedback Linearized Controllermentioning

confidence: 99%

“…Based on the results reported in other works, the uncertainties T d are approximately estimated by

{\overset{T}{true}}_{d}

with the expression

{\overset{T}{true}}_{d} = G false(s false) ((), \overset{θ}{true} - v - T_{d}^{'}),

where

G false(s false) = diag ({}, G_{1} false(s false), G_{2} false(s false), G_{3} false(s false))

is a transfer function matrix of the first‐order low‐pass filter, and

G_{i} false(s false) = \frac{1}{1 + T_{i} s}, i = 1, 2, 3 .

…”

Section: Robust Controller Design and Stability Analysismentioning

confidence: 99%

Robust orientation control of multi‐DOF cell based on uncertainty and disturbance estimation

Xie

Shakoor

et al. 2019

Intl J Robust & Nonlinear

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Summary Multiple degrees‐of‐freedom (multi‐DOF) cell orientation control is a vital important technique involved in single cell surgery applications. Currently, few studies have been performed toward automation of multi‐DOF cell orientation control using robotically controlled optical tweezers. In this paper, a robust control framework is developed to perform multi‐DOF cell rotational control with consideration of model uncertainties and external disturbances. Both simulation and experimental studies are presented to illustrate the performance of the proposed control strategy. The main contributions of this work lie in that this is the first time to develop a unified framework to achieve multi‐DOF cell orientation control without the need for accurate dynamic model parameters and/or any knowledge about uncertainty characteristic, which greatly enhances the robustness of the overall system.

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“…Furthermore, some DOBC methods are proposed to attenuate and reject the disturbances for stochastic Markovian jump system . In addition, the DOBC methods have also been applied to various engineering systems, such as unmanned helicopter system, DC motor system, servomechanisms system, underwater robot system, distillation column system, and so on.…”

Section: Introductionmentioning

confidence: 99%

Trajectory tracking control for manned submersible system with disturbances via disturbance characterization index approach

Fang

Liu

Zhao³

2019

Intl J Robust & Nonlinear

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Summary This paper investigates a novel disturbance estimation and characterization‐based robust control scheme of the manned submersible in the presence of external disturbances and model uncertainties. First of all, a finite‐time disturbance observer is designed to estimate the lumped disturbances of the manned submersible system. Then, a novel disturbance characterization index is defined via Lyapunov theory to indicate whether the lumped disturbances harm or benefit the manned submersible system. The control law is developed via the disturbance characterization–based backstepping control (DCB‐BC) method to remove the detrimental disturbances and to keep the beneficial disturbances of the manned submersible. Additionally, the rigorous stability analysis is given based on Lyapunov theory. Furthermore, some simulation results verify the effectiveness of the proposed DCB‐BC method. The key novelty of this paper is that the disturbances are explicitly used in the controller design to achieve better control performance and disturbance rejection capability.

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Robust Predictive Speed Regulation of Converter-Driven DC Motors via a Discrete-Time Reduced-Order GPIO

Cited by 84 publications

References 42 publications

New “Full-Bridge Buck Inverter–DC Motor” System: Steady-State and Dynamic Analysis and Experimental Validation

New “Full-Bridge Buck Inverter–DC Motor” System: Steady-State and Dynamic Analysis and Experimental Validation

Robust orientation control of multi‐DOF cell based on uncertainty and disturbance estimation

Trajectory tracking control for manned submersible system with disturbances via disturbance characterization index approach

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