Model predictive control of three-level bidirectional DC-DC converter based on super capacitor energy storage system

Zhang, Da; Chen, Caixue; Ou, Yanggang; Tang, Zheng; Tang, Wendong

doi:10.1109/icee49691.2020.9249868

Cited by 9 publications

(10 citation statements)

References 6 publications

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“…Thus, FCS-MPC minimizes (16) at the rate of T s to identify an optimum state from a finite set of eight possible states shown in Table . I.…”

Section: Comparison With Fcs-mpc Implementationmentioning

confidence: 99%

“…However, values of λ 1 and 2 residing in region R 2 and R 3 are not suitable as one of the three control objectives, i.e., v f c1 or v f c2 are not regulated to its reference. If λ 1 >> λ 2 , the voltage error of C f c1 is magnified in (16). As a result, v f c2 remains uncontrolled and settles to a value lower than V * f c2 .…”

Section: A Effect Of Weighting Factorsmentioning

confidence: 99%

“…It is observed that until t = 520ms, i b is unable to track i * b . This is because, large values of λ 1 and λ 2 predominates the FC voltage error over the battery current error (16). As a result, FCS-MPC applies a state that minimizes the FC voltage errors.…”

Section: Performance Comparison With Fcs-mpcmentioning

confidence: 99%

“…The FCS-MPC can realize multiple control objectives by simply incorporating the control variables in its cost function through weighting factors [15]. The FCS-MPC implementation of a three-level bidirectional DC-DC FC converter was reported in [16]. A multi-objective cost function based on ESD current and FC voltage was used to realize the control objectives.…”

Section: Introductionmentioning

confidence: 99%

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Weighting Factor Free Model Predictive Control for a Flying Capacitor Converter in a DC Microgrid

Jayan

Ghias

2022

IEEE Trans. Energy Convers.

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This paper presents a single-objective model predictive control for a bidirectional DC-DC flying capacitor (FC) converter, which integrates a battery to the microgrid. The presence of multiple FCs facilitates the converter to interface a low-voltage battery to a high-voltage DC bus at reduced voltage stress on its power switches. However, such converter requires a controller that fulfils multiple objectives, namely DC bus and FC voltage regulations, and bidirectional power flow. The key feature of the proposed controller is that it utilizes a model predictive control with a single-objective cost function based on battery current and a redundant state selection scheme to attain these multiple objectives. Adopting such a strategy not only reduces computational burden but also eliminates the need for weighting factors and requirement of complex numerical models for its estimation. Another notable aspect is that the controller employs an improved dynamic reference model to generate appropriate battery current reference for the DC bus voltage regulation, without necessitating a secondary control loop and additional current sensors. Finally, experimental results of the proposed system for a step-response of the DC bus voltage, varying PV power, and loads are validated and compared against finite control set model predictive control.

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“…Thus, FCS-MPC minimizes (16) at the rate of T s to identify an optimum state from a finite set of eight possible states shown in Table . I.…”

Section: Comparison With Fcs-mpc Implementationmentioning

confidence: 99%

Section: A Effect Of Weighting Factorsmentioning

confidence: 99%

Section: Performance Comparison With Fcs-mpcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Weighting Factor Free Model Predictive Control for a Flying Capacitor Converter in a DC Microgrid

Jayan

Ghias

2022

IEEE Trans. Energy Convers.

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“…Moreover, the FCS-MPC realizes multiple control objectives by including the control variables in the cost function with suitable weighting factors [15]. The FCS-MPC implementation of a three-level bi-directional DC-DC FC converter integrating ESD to a DC bus was reported in [16]. An optimum state was applied to the converter by minimizing a multi-objective cost function based on ESD current and FC voltage.…”

Section: Introductionmentioning

confidence: 99%

A Single-Objective Modulated Model Predictive Control for a Multilevel Flying Capacitor Converter in a DC Microgrid

Jayan¹,

Ghias²

2021

IEEE Trans. Power Electron.

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This paper presents a single-objective modulated model predictive control for a bi-directional DC-DC flying capacitor (FC) converter in a microgrid. The presence of FC facilitates the converter to integrate a low-voltage battery to a high-voltage DC bus at reduced voltage stress on its power switches. The converter in such a configuration demands a multi-objective controller to accomplish DC bus and FC voltage regulations, and bi-directional power flow. The proposed controller realizes these multiple control objectives by determining optimum duty ratio for the power switches using a single-objective cost function based on battery current. In doing so, the converter realizes its multiple control objectives without weighting factors in the cost function and operates its power switches at a fixed switching frequency. The proposed controller also eliminates an additional control loop by utilizing an improved dynamic reference model to generate appropriate battery current reference for the DC bus voltage regulation and bi-directional power flow. Finally, the proposed system is validated experimentally under step-response of DC bus voltage, load, PV power, and system parameter variations, and compared with a finite control set model predictive control to prove its effectiveness.

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Implementation and performance analysis of a novel sliding mode controller for bidirectional DC to DC converter in aircraft application

Karvekar¹,

Joshi²

2023

WJE

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Purpose The purpose of this paper is to implement a closed loop regulated bidirectional DC to DC converter for an application in the electric power system of more electric aircraft. To provide a consistent power supply to all of the electronic loads in an aircraft at the desired voltage level, good efficiency and desired transient and steady-state response, a smart and affordable DC to DC converter architecture in closed loop mode is being designed and implemented. Design/methodology/approach The aircraft electric power system (EPS) uses a bidirectional half-bridge DC to DC converter to facilitate the electric power flow from the primary power source – an AC generator installed on the aircraft engine’s shaft – to the load as well as from the secondary power source – a lithium ion battery – to the load. Rechargeable lithium ion batteries are used because they allow the primary power source to continue recharging them whenever the aircraft engine is running smoothly and because, in the event that the aircraft engine becomes overloaded during takeoff or turbulence, the charged secondary power source can step in and supply the load. Findings A novel nonsingular terminal sliding mode voltage controller based on exponential reaching law is used to keep the load voltage constant under any of the aforementioned circumstances, and its performance is contrasted with a tuned PI controller on the basis of their respective transient and steady-state responses. The former gives a faster and better transient and steady-state response as compared to the latter. Originality/value This research gives a novel control scheme for incorporating an auxiliary power source, i.e. rechargeable battery, in more electric aircraft EPS. The battery is so implemented that it can get regeneratively charged when primary power supply is capable of handling an additional load, i.e. the battery. The charging and discharging of the battery is carried out in closed loop mode to ensure constant battery terminal voltage, constant battery current and constant load voltage as per the requirement. A novel sliding mode controller is used to improve transient and steady-state response of the system.

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Model predictive control of three-level bidirectional DC-DC converter based on super capacitor energy storage system

Cited by 9 publications

References 6 publications

Weighting Factor Free Model Predictive Control for a Flying Capacitor Converter in a DC Microgrid

Weighting Factor Free Model Predictive Control for a Flying Capacitor Converter in a DC Microgrid

A Single-Objective Modulated Model Predictive Control for a Multilevel Flying Capacitor Converter in a DC Microgrid

Implementation and performance analysis of a novel sliding mode controller for bidirectional DC to DC converter in aircraft application

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