Generalized Geometric Control Manifolds of Power Converters in a DC Microgrid

Banerjee, Bibaswan; Weaver, Wayne W.

doi:10.1109/tec.2014.2351621

Cited by 20 publications

(9 citation statements)

References 17 publications

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“…Hence, the calculations are optimal for specific cases, but are still viable for other cases. Experimental results for these types of transient events and how this controller can work during those events have been shown in Banerjee and Weaver (2014).…”

Section: Discussionmentioning

confidence: 99%

“…Switching converters form a variable structure system and thus sliding-mode control is an effective and simpler technique (Alvarez-Ramirez, Espinosa-Perez, & Noriega-Pineda, 2001;Sira-Ramirez, 1989) than other robust control schemes which are computationally intensive (Guldemir, 2011;Shtessel, Zinober, & Shkolnikov, 2002). Previous work has been done on the development of sliding-mode control strategies in power electronics, which drive the system states to some reference (Banerjee & Weaver, 2012& Weaver, , 2014Cid-Pastor et al, 2013;Guldemir, 2005;He & Luo, 2006;Mattavelli et al, 1995). The use of digital control in switching power converters has increased due to the decreased cost and increased computational capability of digital ICs (König, Gregorĉiĉ, & Jakubek, 2013;Liu & Jia, 2010;Marwali & Keyhani, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…The use of digital control in switching power converters has increased due to the decreased cost and increased computational capability of digital ICs (König, Gregorĉiĉ, & Jakubek, 2013;Liu & Jia, 2010;Marwali & Keyhani, 2004). Some work has been done with the digital implementation of a control strategy by using a predetermined surface inside a digital controller (Banerjee & Weaver, 2014;Pitel & Krein, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Digital memory look-up based implementation of sliding mode control for dc–dc converters

Banerjee

Kotecha

Weaver

2016

Control Engineering Practice

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a b s t r a c t Switched power electronic converters involve different control actions for different system events. A local control strategy may be developed which reacts only to some local information available to each component without any communication between the different system components located far away in real time. The purpose of this paper is to present a low cost memory based control strategy in a dc-dc boost converter. The control employed in this work is based on a sliding-mode hysteretic control strategy where the sliding manifold is derived a priori and stored as a look-up table in digital memory hardware. The proposed control implementation strategy is low cost and offers a robust dynamic response that is used to mitigate many disturbances in the system.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Digital memory look-up based implementation of sliding mode control for dc–dc converters

Banerjee

Kotecha

Weaver

2016

Control Engineering Practice

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“…The loads are controlled in output voltage control mode and sources are controlled in input current control mode. Furthermore, since the operation and control of the aforementioned subsystems are well established in the literature [39][40][41][42][43][44][45]; there will be no further emphasis on their control and operation. The main focus of this work will be the SSC depicted in Fig.…”

Section: Parallel Compensationmentioning

confidence: 99%

A Power Ripple Compensator for DC Nanogrids via a Solid-State Converter

Khan

Shadmand

Bayhan

et al. 2020

IEEE Open J. Ind. Electron. Soc.

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This paper presents a method for improving the reliability of DC nanogrids by decreasing the input capacitance requirement. The nanogrid DC bus capacitance requirement is reduced by utilizing the zerosequence operation mode of the solid state converter (SSC). This SSC is often considered as the main DC nanogrid energy control unit that is linking the nanogrid with the main utility AC grid and managing the nanogrid elements. The proposed method injects a zero-sequence voltage in the SSC AC filter capacitors to compensate the low frequency power ripples that are imposed on the DC bus. The proposed method compensates power ripple due to non-linear loads, linear loads, distorted grids, and load variations. Moreover, the compensation method does not require additional components that are commonly used with the existing power ripple compensators. Furthermore, practical considerations of the proposed control are discussed in the paper regarding stabilization of the nanogrid in case of lack of critical damping. The analysis and results demonstrated that a 50 µF total capacitance is sufficient at the DC bus for 500V/5kW DC nanogrid to achieve negligible DC bus voltage ripple. Thereby, with such small DC nanogrid input capacitance, the DC link capacitor can be a film type capacitor to enhance the reliability of the nanogrid.

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“…Proposed in 1950s, sliding mode control (SMC) provides insensitivity to parameter variations and removal of disturbances [15], [16]; SMC of DC-AC power converter systems are also developed. However, these SMC systems use linear sliding surface, and such surface has infinite system-state convergence time [17][18][19][20]. Thus to increase the convergence speed, a hyperbolic tangential sliding surface (HTSS) can be used.…”

Section: Introductionmentioning

confidence: 99%

High-Performance DC-AC Power Converter Using Adaptive Control Technique for Advanced Material Machining

Chang¹,

Wei²,

Huang³

et al. 2017

JOACE

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A high-performance DC-AC power converter using adaptive control technique for advanced material machining (AMM) is developed in this paper. The presented technique combines the merits of hyperbolic tangential sliding surface (HTSS) and adaptive neuro-fuzzy inference system (ANFIS). The HTSS not only has the robustness of classic SMC but increases the system trajectory convergence speed. However, once a highly nonlinear load occurs, the chattering still exists. The chattering causes high total harmonic distortion (THD) in DC-AC power converter output voltage, thus yielding the instability and unreliability of advanced material machining. The ANFIS is thus employed to eliminate the chattering and simultaneously the HTSS provides finite system-state convergence time. By combining HTSS with ANFIS, the DC-AC power converter of AMM will achieve robust performance. Experimental results are given to conform that the proposed technique can obtain low total harmonic distortion (THD) and fast transience even under phase-controlled loads.  Owing to the notable superiorities, e.g. computational quickness, practical simplicity, and programmable easiness in the proposed technique, this paper will be a helpful reference to researchers of related advanced material machining.Index Terms-DC-AC power converter, advanced material machining (AMM), hyperbolic tangential sliding surface (HTSS), adaptive neuro-fuzzy inference system (ANFIS)

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Generalized Geometric Control Manifolds of Power Converters in a DC Microgrid

Cited by 20 publications

References 17 publications

Digital memory look-up based implementation of sliding mode control for dc–dc converters

Digital memory look-up based implementation of sliding mode control for dc–dc converters

A Power Ripple Compensator for DC Nanogrids via a Solid-State Converter

High-Performance DC-AC Power Converter Using Adaptive Control Technique for Advanced Material Machining

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