Stability enhancement of rectifier and DAB stages of SST model using dynamic phasor based PI controller

Khade, Shubhangi; Gaonkar, Anuradha; Weakey, S.; Chavan, Rohit R.; Meshram, R.

doi:10.1109/icpes.2016.7584146

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…In the existent literature, several linear and nonlinear control methods have been reported for the subject application. The traditional linear proportional, integral and derivative (PID) controllers have been widely applied in the existing literature [20][21][22][23][24]. In [20] the authors presented fixed gain PI controller for the regulation of DC bus voltage in DIBMS.…”

Section: Introductionmentioning

confidence: 99%

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Industrial Grade Adaptive Control Scheme for a Micro-Grid Integrated Dual Active Bridge Driven Battery Storage System

et al. 2020

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In this paper, an industrial grade adaptive control scheme is proposed for a micro-grid integrated dual active bridge driven battery management system (DIBMS). A benchmark industrial grade adaptive control scheme depends on two factors namely robustness and computational resource utilization when such controllers are implemented over processors. The mathematical model of DIBMS system is nonlinear, thus for desired response, non-linear controllers based on sliding mode variable structure control theory suits it well for the state regulation problem of DIBMS, however such controllers utilize high computational resources when practically implemented over processors. Keeping in view the above performance indices, this paper proposes an industrial grade computationally efficient and finite time adaptive robust convergent control for DIBMS system. A proportional integral (PI) scheme is used as central control unit and Hebbian algorithm with double integration of the state error is introduced for online tuning the gains of central control unit. The robustness and computational resource efficiency of the proposed control paradigm is validated using a laboratory scale test bench through TI Launchpad (TMS320F28379D). The superiority of the proposed AI based PI control paradigm is compared with classical PI, integer order sliding mode control (SMC), and fractional order SMC (FOSMC) in terms of computational resource utilization and robustness under all test conditions.

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Section: Introductionmentioning

confidence: 99%

“…A fixed gain PI controller is implemented for a laboratory scaled DIBMS system and presented in [21][22]. Similarly the stability analysis of DC micro-grid is presented in [23][24]. A PI controller is reported for DAB converter integrated with fuel cell applications [25].…”

Section: Introductionmentioning

confidence: 99%

Industrial Grade Adaptive Control Scheme for a Micro-Grid Integrated Dual Active Bridge Driven Battery Storage System

et al. 2020

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“…The simulation models of the HVDC converter considering the fundamental component and necessary harmonic components of converter under the asymmetrical conditions of AC system are presented based on dynamic phasors theory in [7]. What's more, the dynamic phasors theory has been used in modelling and analysis of solid state transformer [8,9], thyristor-controlled series capacitor [10,11], unified power flow controller [12,13], dc-dc converters [14], multiconverter ac systems [15] and other power electronic devices or power systems with power electronic devices successfully. However, the dynamic phasors simulation model of HVDC systems considering the fundamental component and harmonic components of the converter under the symmetrical condition of AC system theory hasn't been researched and the harmonic components of the converter of HVDC systems should be considered to reflect the dynamic characteristics of HVDC systems more accurately.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of HVDC Systems Considering the Harmonics of Converter Based on Dynamic Phasors Theory

Luo¹,

Liu²,

Xu³

et al. 2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

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Abstract-This paper proposes a dynamic phasors model of HVDC systems including the converter, DC line and control when the AC systems are symmetrical and analyses the simulation process of the proposed dynamic phasors model. The proposed dynamic phasors model can rapidly reflect the dynamic characteristics of HVDC systems including the harmonics characteristics of the converter of HVDC systems at the AC system side. Simulation results among the dynamic phasors models and EMR model are compared and the simulation results confirm the validity and accuracy of the proposed dynamic phasors model.

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Artificial Neural Network Based Adaptive Control of Single Phase Dual Active Bridge With Finite Time Disturbance Compensation

et al. 2019

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Single phase Dual Active Bridge (DAB) has found numerous applications in modern energy architectures such as direct current (DC) microgrid, electrical vehicle charging and high voltage direct current (HVDC) system. Due to the model complexities of DAB, this work proposes a model free adaptive control method based on artificial neural network (AANN) which is capable of adjusting the weights online in finite time. The finite time learning property of the proposed controller makes it perfectly robust for the compensation of the disturbances due to source and load side variations. A proportional integral (PI) controller is used to stabilize the nominal dynamics of the system along with the AANN controller. The structure of the proposed controller is as simple as PID controller and as robust as any nonlinear control method. The AANN-PI controller is implemented on TI Launchpad (TMS320F28379D) with a 50 Watts laboratory scale DAB test bench. Finally, the performance of the AANN-PI method is compared experimentally with classical PI and sliding mode controllers. INDEX TERMS Artificial neural network, control system, dual active bridge, dc-dc converters.

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Stability enhancement of rectifier and DAB stages of SST model using dynamic phasor based PI controller

Cited by 9 publications

References 11 publications

Industrial Grade Adaptive Control Scheme for a Micro-Grid Integrated Dual Active Bridge Driven Battery Storage System

Industrial Grade Adaptive Control Scheme for a Micro-Grid Integrated Dual Active Bridge Driven Battery Storage System

Modelling and Simulation of HVDC Systems Considering the Harmonics of Converter Based on Dynamic Phasors Theory

Artificial Neural Network Based Adaptive Control of Single Phase Dual Active Bridge With Finite Time Disturbance Compensation

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