A Digital Parallel Current-Mode Control Algorithm for DC–DC Converters

Fang, Wei; Liu, Xiaodong; Liu, Sucheng; Liu, Yanfei

doi:10.1109/tii.2014.2358455

Cited by 24 publications

(11 citation statements)

References 23 publications

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“…Controller is one of the main required parts of multi‐input DC–DC converters. Different efficient controllers have been presented in literature [19, 20]. In this study, the simple, popular and at the same time efficient PI controller has been applied to regulate output voltage and clarify the portion of power that must be provided by each input source.…”

Section: Controller Descriptionmentioning

confidence: 99%

Performance and design analysis of an improved non‐isolated multiple input buck DC–DC converter

Varesi

Hosseini

Sabahi

et al. 2017

IET Power Electronics

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This study proposes an improved non-isolated single-inductor multiple-input buck DC-DC converter, with reduced number of components. Less component count can reduce the size, mass and cost of converter. Simultaneous or independent power transfer capability has been provided for input sources. The bidirectional power flow capability has also been provided through usage of a battery without any additional switches. This makes the topology very suitable for hybrid energy systems or hybrid electric vehicle/electric vehicle applications. Different operational modes of proposed topology have been presented. Then, a generalised relationship has been proposed for calculation of critical inductance (as an important design parameter) of proposed n-input buck topology. To make a better judgement, the proposed topology has been compared with recently presented novel topologies. Also, a simple proportional-integral based controller has been applied to regulate output voltage and assign the portion of power that each input source should provide. To confirm the validity of proposed topology and theoretical concepts, the three-input version has been modelled and simulated in PSCAD/EMTDC software and implemented experimentally. Simulation and experimental results validate proper performance of proposed topology.

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Section: Controller Descriptionmentioning

confidence: 99%

Performance and design analysis of an improved non‐isolated multiple input buck DC–DC converter

Varesi

Hosseini

Sabahi

et al. 2017

IET Power Electronics

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“…The redundant switch increases the cost (Shahbazi et al , 2013), which is infused to ensure the reliability of the system. Several algorithms (Hu et al , 2018) were proposed in the literature to identify or predict faulty converter components which monitor system variables to identify a fault and to control the output of the converter (Trevisan et al , 2008; Chen and Xu, 2011; Chen and Lai, 2012; Hallworth and Shirsavar, 2012; Khoygani et al , 2014; Fang et al , 2014; Tran and Mahd, 2014; Hossain and Alam, 2014). A field programmable gate arrays (FPGA)-based digital control algorithm for reducing cross-regulation in single-input dual-output converter is proposed (Trevisan et al , 2008).…”

Section: Introductionmentioning

confidence: 99%

Integrated predictive control and fault diagnosis algorithm for single inductor-based DC-DC converters for photovoltaic systems

Venkateswaran

Govindaraju²,

Santhosh

2020

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Purpose Power converters are an integral part of the energy conversion process in solar photovoltaic (PV) systems which is used to match the solar PV generation with the load requirements. The increased penetration of renewable invokes intermittency in the generated power affecting the reliability and continuous energy supply of such converters. DC-DC converters deployed in solar PV systems impose stringent restrictions on supplied power, continuous operation and fault prediction scenarios by continuously observing state variables to ensure continuous operation of the converter. Design/methodology/approach A converter deployed for a mission-critical application has to ensure continuous regulated output for which the converter has to ensure fault-free operation. The fault diagnostic algorithm relies on the measurement of a state variable to assess the type of fault. In the same line, a predictive controller depends on the measurement of a state variable to predict the control variable of a converter system to regulate the converter output around a fixed or a variable reference. Consequently, both the fault diagnosis and the predictive control algorithms depend on the measurement of a state variable. Once measured, the available data can be used for both algorithms interchangeably. Findings The objective of this work is to integrate the fault diagnostic and the predictive control algorithms while sharing the measurement requirements of both these control algorithms. The integrated algorithms thus proposed could be applied to any converter with a single inductor in its energy buffer stage. Originality/value laboratory prototype is created to verify the feasibility of the integrated predictive control and fault diagnosis algorithm. As the proposed method combine the fault detection algorithm along with predictive control, a load step variation and manual fault creation methods are used to verify the feasibility of the converter as with the simulation analysis. The value for the capacitors and inductors were chosen based on the charge-second and volt-second balance equations obtained from the steady-state analysis of boost converter.

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“…Current mode controllers can be realised by analogue or digital methods. Compared with the analogue control, the digital control has advantages such as high robustness, programming flexibility, and online updating ability [4][5][6]. Therefore, the digital current control has received increasing attention in recent years.…”

Section: Introductionmentioning

confidence: 99%

Sensorless predictive current control with a charge balance current estimator for boost converters based on discrete‐time model considering current ripple

Chen

Tong

Min

et al. 2018

IET Power Electronics

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The performance of a sensorless predictive current controlled boost converter is usually susceptible to the accuracy of the employed converter and current estimator models. Since the accuracy of conventional current estimator would be degraded due to parasitic parameter variations, a charge balance current estimator (CBCE) is proposed to overcome this issue. Its estimation of peak inductor current is based on the charge balance principle of output capacitor and characteristics of inductor current ripple. Only one parasitic parameter-capacitor equivalent series resistance (ESR) is used in CBCE. Furthermore, the capacitor ESR is also estimated together with output load by a proposed equivalent load estimation scheme which can improve the current estimation accuracy. Besides, to achieve a high dynamic performance digital control, a discretetime model considering current ripple is developed, in which the ripple is taken into account rather than treats inductor current as a constant in each switching cycle. It can achieve a higher accuracy than conventional averaged model, especially in the high-frequency region. Finally, its effectiveness is verified by simulation and experiment results.

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A Digital Parallel Current-Mode Control Algorithm for DC–DC Converters

Cited by 24 publications

References 23 publications

Performance and design analysis of an improved non‐isolated multiple input buck DC–DC converter

Performance and design analysis of an improved non‐isolated multiple input buck DC–DC converter

Integrated predictive control and fault diagnosis algorithm for single inductor-based DC-DC converters for photovoltaic systems

Sensorless predictive current control with a charge balance current estimator for boost converters based on discrete‐time model considering current ripple

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