Robust LMI-LQR Control for Dual-Active-Bridge DC–DC Converters With High Parameter Uncertainties

Xia, Peizhou; Shi, Haochen; Wen, Huiqing; Bu, Qinglei; Hu, Yihua; Yang, Yong

doi:10.1109/tte.2020.2975313

Cited by 50 publications

(23 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several research activities have been focused on the control techniques of the DAB during the past few years, see [1][2][3][4][5][6][7][8][9][10][11][12][13]. A comprehensive overview of different modulation strategies of DAB converters is presented in [1].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The dual active bridge (DAB) converter is considered as one of the most critical emerging topologies that have been successfully used in many electrical power applications such as DC microgrids [1,2]. The DAB offers key advantages such as a minimum size of passive filter components and high-power density when compared with other bidirectional DC-DC converters [3]. Therefore, DAB converter has gained popularity during the last decade in applications such as electric vehicles (EVs), energy management systems or DC microgrids with energy storage systems (ESS) [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Tuning of Fractional Order Controllers for Dual Active Bridge-Based DC Microgrid Including Voltage Stability Assessment

Azab

Serrano‐Fontova

2021

Electronics

View full text Add to dashboard Cite

In this article, three evolutionary search algorithms: particle swarm optimization (PSO), simulated annealing (SA) and genetic algorithms (GA), have been employed to determine the optimal parameter values of the fractional-order (FO)-PI controllers implemented in the dual active bridge-based (DAB) DC microgrid. The optimum strategy to obtain the parameters of these FO-PI controllers is still a major challenge for many power systems applications. The FO-PI controllers implemented in the DAB are used to control the DC link voltage to the desired value and limit the current flowing through the converter. Accordingly, the investigated control system has six parameters to be tuned simultaneously; Kp1, Ki1, λ1 for FO-PI voltage controller and Kp2, Ki2, λ2 for FO-PI current controller. Crucially, this tuning optimization process has been developed to enhance the voltage stability of a DC microgrid. By observing the frequency-domain analysis of the closed-loop and the results of the subsequent time-domain simulations, it has been demonstrated that the evolutionary algorithms have provided optimal controller gains, which ensures the voltage stability of the DC microgrid. The main contribution of the article can be considered in the successful application of evolutionary search algorithms to tune the parameters of FO-based dual loop controllers of a DC microgrid scheme whose power conditioner is a DAB topology.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Tuning of Fractional Order Controllers for Dual Active Bridge-Based DC Microgrid Including Voltage Stability Assessment

Azab

Serrano‐Fontova

2021

Electronics

View full text Add to dashboard Cite

show abstract

“…Simulation results are shown in Figures 4-11. For comparison, we choose the classical LQR control [35][36][37]. Figures 4 and 5 display the time history of the two system states: x 1 (i.e., μ t ) and x 2 (i.e., y t − y t ), respectively.…”

Section: Numerical Simulationsmentioning

confidence: 99%

Robust Control Design for an Uncertain Macroeconomic Dynamical System with Unknown Characteristics and Inequality Control Constraint

Xie

Chen

2021

Complexity

View full text Add to dashboard Cite

The stabilization problem of a macroeconomic dynamical system is considered in this paper. The main features of this system are that the system uncertainties may be unknown functions of state and time but with known bounds. Furthermore, the control inputs are subject to constraints, which is a salient feature in an economic control problem. To ensure that the controls are within the specified boundaries, in our control design procedure, a creative diffeomorphism, which converts bounded controls into unbounded corresponding signals by choosing an appropriate transformation function, is proposed. For the uncertain system, a deterministic robust control is designed to render the practical stability: uniform boundedness and uniform ultimate boundedness. The range of the input bounds is related to the uncertainties and can be designed according to the actual situation. Numerical simulations are performed to verify the effectiveness of the stabilization policy.

show abstract

“…Several isolated bidirectional typologies have been reported, including two-device topologies such as dual fly-back converter, dual cuk converter and dual-zeta converter [7][8], four-device topologies such as forward flyback converter, dual-push-pull converter, push-pull forward converter, push-forward-fly-back converter, and dual-halfbridge converter [9,10], and eight-device typologies such as dual-active-bridge (DAB) converter [11]. The isolated bidirectional converters, DAB has the lowest volume of filter and largest capacity of power transfer [12]. Such converters consist of two bridges namely low voltage (LV) and high voltage (HV) bridges.Single phase shift (SPS) modulation methods are reported for DIBMS in [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Robust LMI-LQR Control for Dual-Active-Bridge DC–DC Converters With High Parameter Uncertainties

Cited by 50 publications

References 35 publications

Optimal Tuning of Fractional Order Controllers for Dual Active Bridge-Based DC Microgrid Including Voltage Stability Assessment

Optimal Tuning of Fractional Order Controllers for Dual Active Bridge-Based DC Microgrid Including Voltage Stability Assessment

Robust Control Design for an Uncertain Macroeconomic Dynamical System with Unknown Characteristics and Inequality Control Constraint

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

Contact Info

Product

Resources

About