Modeling and analysis of complex dynamics for dSPACE controlled closed‐loop DC‐DC boost converter

Banerjee, Subrata; Ghosh, Arnab; Padmanaban, Sanjeevikumar

doi:10.1002/etep.2813

Cited by 28 publications

(24 citation statements)

References 29 publications

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“…So interfacing and Bi-directional converters have several usages in case of an electric hybrid vehicle, energy storage facilities and grid integration [3]. Since this topology holds some nonlinearities, continuous and discontinuous modes of operations, Bidirectional operation, and a non-minimum phase system behavior for a wide range of operating conditions there are various control strategies proposed to have control of the output voltage [4][5][6][7][8][9]. A simple three-legged inverter is chosen for the DC to AC conversion for simplicity sake.…”

Section: Introductionmentioning

confidence: 99%

A Computational Analysis of Interfacing Converters with Advanced Control Methodologies for Microgrid Application

Panda

Ghosh

2020

Technol Econ Smart Grids Sustain Energy

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Power electronics converter and inverter systems for microgrid operations are always stochastic. When the system is operating in grid-tied mode, the attached load is not constant, so the current which drawn from the DC grid also varies leads to a voltage drop and that causes steady-state error in between the actual and desired output voltage in microgrid. DC-DC bidirectional converters are widely used in microgrid application that facilitates bidirectional energy convertion which having boost mode operation in one direction and bucking mode in other operation. The Interfacing converter is controlled by using the Maximum Power Point Tracking (MPPT) control technique for obtaining maximum power during different atmospheric conditions. In this work, a Model Predictive Control (MPC) strategy is proposed which having an improved cost function, single prediction horizon, and an observer to keep tracking the output voltage. Here, MPC is proposed for cumulative control in between the DC grid side converters and AC grid side inverter, and for improving the power quality and reliability of the utility grid. Both continuous time and discrete time domain models are formed for the whole system for applying different control strategies. Along with MPC, the system has been controlled by using other controllers like as PI controller, Sliding Mode Controller (SMC). Luenberger observer is used to check the DC grid voltage when disturbances are implemented. Here, all the computational results are compared for justifying and validate a better controlling method for microgrid application. These kind of work is first time reported in this manuscript.

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Section: Introductionmentioning

confidence: 99%

A Computational Analysis of Interfacing Converters with Advanced Control Methodologies for Microgrid Application

Panda

Ghosh

2020

Technol Econ Smart Grids Sustain Energy

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“…The significance of power converters has been increased due to its application in wide area from the domestic equipment to the sophisticated satellite systems. Automatic control of the power electronic converters is a challenging task . The uncertain nature of the load leads to the nonlinear behavior of DC–DC converters, which necessitates proper output voltage regulation.…”

Section: Introductionmentioning

confidence: 99%

Real‐time implementation of Chebyshev neural adaptive controller for boost converter

Govindharaj

Mariappan

2020

Int Trans Electr Energ Syst

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Summary An indirect approach is employed to track the desired output voltage of the boost converter by controlling the inductor current in the proposed adaptive backstepping Chebyshev neural network controller, because of the non‐minimum phase nature of the converter. The computational complexity of the neural network is avoided by the use of Chebyshev polynomials as the basis function. The online weight update of the Chebyshev neural network is designed for the closed‐loop system based on the Lyapunov stability analysis to obtain an asymptotically stable system. In the proposed work, the required duty cycle is obtained by a novel method of solving the quadratic equation of the control function instead of the first derivative of the duty cycle to get the desired output voltage from the Lyapunov control function. Detailed analyses of simulations are carried out for a wide range of variations in the set point and load, and the results are compared with that of backstepping and PID controllers. The proposed controller exhibits superior performance than other controllers for the uncertainties caused by disturbances. To ensure its suitability in real time, a prototype is designed for the proposed controller, and the obtained results are compared with that of backstepping and PID controllers. Investigation of experimental results confirms the adaptability of the proposed control scheme as it exhibits accurate and fast response irrespective of disturbances acting upon it.

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“…The requirement of switching converters working at high frequencies is necessary for those systems needing access to a low or medium power level. Generally, a dc/dc converter with a high voltage gain should be used as an intermediate device to boost low source voltage to higher levels 1‐8 …”

Section: Introductionmentioning

confidence: 99%

Modeling and implementation of a new boost converter with elimination of right‐half ‐plan zero

Goudarzian

Khosravi

Raeisi

2020

Int Trans Electr Energ Syst

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Summary Conventional boost converters used for fuel‐cell applications suffer from a slow dynamic response, due to their non‐minimum phase nature. It is the main challengeable problem in the development of boost topologies working in continuous‐conduction mode (CCM). In order to eliminate the mentioned disadvantage, a boost converter is proposed in this article which is capable to give a high voltage gain. From viewpoint of the boosting feature, the proposed topology is more appropriate to connect a low input voltage to a higher dc voltage of load. Moreover, the duty‐cycle‐to‐output‐voltage transfer function of this converter is free from the right‐half‐plane zero (RHPZ) and therefore, its dynamics are simpler and faster compared with the classical boost converter. To cancel the RHPZ, improve the dynamic behavior and enhance the voltage transfer gain, a separate forward path is provided using a transformer and an additional capacitor in the output node for transferring the input energy to the output load during the switch‐on time interval of the power switch. For derivation of the converter model, the steady state analysis is given in details and the required equations are formulated. The transfer function expression is obtained using the averaging model of the converter and then, the description and comparisons are introduced to reveal the features and superiority of the proposed converter. Also, a laboratory set‐up of the suggested dc/dc boost converter working in CCM is built and tested.

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Modeling and analysis of complex dynamics for dSPACE controlled closed‐loop DC‐DC boost converter

Cited by 28 publications

References 29 publications

A Computational Analysis of Interfacing Converters with Advanced Control Methodologies for Microgrid Application

A Computational Analysis of Interfacing Converters with Advanced Control Methodologies for Microgrid Application

Real‐time implementation of Chebyshev neural adaptive controller for boost converter

Modeling and implementation of a new boost converter with elimination of right‐half ‐plan zero

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