A Robust Differential Flatness-Based Tracking Control for the “MIMO DC/DC Boost Converter–Inverter–DC Motor” System: Experimental Results

García-Sánchez, José Rafael; Hernandez-Marquez, Eduardo; Ramirez-Morales, Jesus; Marciano-Melchor, Magdalena; Marcelino-Aranda, Mariana; Taud, Hind

doi:10.1109/access.2019.2923701

Cited by 23 publications

(15 citation statements)

References 46 publications

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“…The unidirectional movement is related to the clockwise rotation of the motor shaft, while the bidirectional one implies both, the clockwise and the counter-clockwise rotation of the motor shaft. Meanwhile, important contributions related to other DC/DC converters used as drivers for DC motors have been reported in [35] and [36] (for multilevel and parallel Buck topologies, respectively), [37]- [44] (for Boost topology), [45]- [50] (for Buck-Boost topology), [51] (for Sepic topology), [52] (for Luo topology), and [53] (for Cuk topology). In the following, the "SISO DC/DC Buck converter-DC motor" and the "MIMO DC/DC Buck converter-inverter-DC motor" contributions reported in literature are presented.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

et al. 2021

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A sensorless control based on the exact tracking error dynamics passive output feedback (ETEDPOF) methodology is proposed for executing the angular velocity trajectory tracking task on the "full-bridge Buck inverter-DC motor" system. When such a methodology is applied to the system, the tracking task is achieved by considering only the current sensing and by using some reference trajectories for the system. The reference trajectories are obtained by exploiting the flatness property associated with the mathematical model of the "full-bridge Buck inverter-DC motor" system. Experimental tests are developed for different desired angular velocity trajectories. With the aim of obtaining the experimental results in closed-loop, a "full-bridge Buck inverter-DC motor" prototype, Matlab-Simulink, and a DS1104 board from dSPACE are employed. The experimental results show the effectiveness of the proposed control.INDEX TERMS Motor drivers, power converters, full-bridge Buck inverter, DC motor, passivity control, differential flatness, trajectory tracking.

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Section: Introductionmentioning

confidence: 99%

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

et al. 2021

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“…Advanced non‐linear control techniques have also been investigated to improve the dynamic performance of the underlying system. In the literature, these results include hierarchical control [18], state feedback‐adaptive fuzzy control [19, 20],

H_{\infty }

based control with LMI technique [21], flatness based control [22–24], generalized proportional‐integral (GPI) control [25] and LQR control technique [26]. In reference [27], for angular velocity tracking in DC–DC converter fed DC motor, the authors proposed a multivariable robust control algorithm with disturbance rejection mechanism implemented through GPI observers.…”

Section: Introductionmentioning

confidence: 99%

Enhanced dynamic performance in DC–DC converter‐PMDC motor combination through an intelligent non‐linear adaptive control scheme

Nizami

Chakravarty

Mahanta

et al. 2022

IET Power Electronics

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A novel neuro‐adaptive control scheme is proposed in the context of angular velocity tracking in DC–DC buck converter driven permanent magnet DC motor system. The controller builds upon the idea of backstepping and consists of a fast single hidden layer Hermite neural network (HNN) module equipped with on‐board (adaptive) learning to counteract the unknown non‐linear time‐varying load torque and to ensure nominal tracking performance. The HNN has a simple structure and exhibits promising speed and accuracy in estimating dynamic variations in the unknown load torque apart from being computationally efficient. The proposed method guarantees a rapid recovery of nominal angular velocity tracking under parametric and non‐parametric uncertainties. In order to verify the performance of the proposed neuro‐adaptive speed controller, extensive experimentation has been conducted in the laboratory under various real‐time scenarios. Results are obtained for start‐up, time‐varying angular velocity tracking and under the influence of highly non‐linear unknown load torque. The performance metrics such as peak undershoot/overshoot and settling time are computed to quantify the transient response behaviour. The results clearly substantiate theoretical propositions and demonstrate an enhanced dynamic speed tracking under a wide operating regime, thus confirming the suitability of proposed method for fast industrial applications.

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“…DC to DC boost converter with coupled inductor [17,18] and active clamp flyback converter in [19], the main limitation of these converters is the problems related to the transformer. The massive turn's ratio and high-voltage isolation requirements increase the leakage inductance and parasitic capacitance of the winding.…”

Section: Introductionmentioning

confidence: 99%

Efficient Topology for DC-DC Boost Converter Based on Charge Pump Capacitor for Renewable Energy System

Malik

Tirth

Ali

et al. 2021

International Journal of Photoenergy

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In an attempt to meet the global demand, renewable energy systems (RES) have gained an interest in it due to the availability of the resources, especially solar photovoltaic system that has been an importance since many years because of per watt cost reduction, improvement in efficiency, and abundant availability. Photovoltaic system in remote and rural areas is very useful where a grid supply is unavailable. In this scenario, power electronic converters are an integral part of the renewable energy systems particularly for electronic devices which are operated from renewable energy sources and energy storage system (fuel cell and batteries). In this article, a new topology of charge pump capacitor (CPC) which is based on high voltage gain technique DC-DC boost converter (DCBC) with dynamic modeling is proposed. To testify the efficacy of the introduced topology, a prototype has been developed in a laboratory, where input was given 10VDC and 80VDC output voltage achieved at the load side. Furthermore, the experimental result shows that the voltage stress of MOSFET switches is very less in comparison with the conventional boost converter with the same parameters as the proposed converter.

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A Robust Differential Flatness-Based Tracking Control for the “MIMO DC/DC Boost Converter–Inverter–DC Motor” System: Experimental Results

Cited by 23 publications

References 46 publications

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

Sensorless Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System: Passivity and Flatness-Based Design

Enhanced dynamic performance in DC–DC converter‐PMDC motor combination through an intelligent non‐linear adaptive control scheme

Efficient Topology for DC-DC Boost Converter Based on Charge Pump Capacitor for Renewable Energy System

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