Sliding mode control, implementation and performance analysis of standalone PV fed dual inverter

Kumar, Nayan; Saha, Tapas Kumar; Dey, Joykrishna

doi:10.1016/j.solener.2017.07.034

Cited by 18 publications

(15 citation statements)

References 31 publications

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“…Therefore, in view of above parameters adaptive update laws, equation (35) also is simplified aṡ In order to ensure the globally asymptotic stability of the whole PV grid-connected inverter. And the adaptive parameter estimated method and integral sliding mode control algorithm as a whole must ensure thatV 2 is negative semi-definite, namely,V 2 ≤ 0, so that, we choose where k 2 > 0, and k 3 > 0 represent the adjustable parameters, and the function sat(·) represents the saturation function defined as [35] sat(S ) =…”

Section: Controller Design For Grid-connected Invertermentioning

confidence: 99%

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Wang

Yan

et al. 2019

Solar Energy

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2018) A novel adaptive command-filtere backstepping sliding mode control for PV grid-connected system with energy storage. Solar Energy,. ISSN 0038-092X. AbstractTo solve the problems of power fluctuation in the photovoltaic (PV) grid-connected system and the nonlinearity in the model of inverters, a projection-based adaptive backstepping sliding mode controller with command-filter is designed in the system, in order to adjust the DC-link voltage and the AC-side current in the PV grid-connected system. Firstly, the mathematic model of the inverter in PV system is established, then backstepping control method is applied to control it, and the command filter is added to the controller to eliminate the differential expansion of the backstepping controller. Furthermore, the adaptive law based on Lyapunov stability theory is designed to estimate the uncertain parameters in the grid-connected inverter. A projection algorithm is introduced in the adaptive controller due to the demand of guaranteeing the bounded estimated value. Additionally, a sliding mode controller is increased to improve its robustness in this system.With the consideration of the influence of irradiation and temperature changes, a battery-energy-storage-system is applied to the DC-side to suppress the fluctuation of output power of the PV system. Finally, the simulation results demonstrate that the presented strategy can control the grid connected inverter precisely.

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Section: Controller Design For Grid-connected Invertermentioning

confidence: 99%

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Wang

Yan

et al. 2019

Solar Energy

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“…Voltage source inverter (VSI) is widely employed in power generation systems [1], uninterruptible power supplies [1,2], electric vehicles systems (EVS) [3], and renewable energy systems [4,5] to supply power to the various types of loads. In these applications, accurate regulation of the inverter output voltage and current is significantly important.…”

Section: Introductionmentioning

confidence: 99%

“…Proportional integral derivative (PID) controllers are widely employed in power electronics applications due to its simple implementation, however, linear PID controllers are not able to attain good performance and accuracy while dealing with nonlinear inverter system [4,9,12]. The enhanced computational power of the recent hardware devices has enabled the implementation of advanced robust control algorithms such as, repetitive control [13], H 1 control [14], model predictive control [15,16], fuzzy & neural network based control [12,17] and sliding mode control [4,5,7,18] to improve the control performance of DC-AC inverter system against unavoidable sudden load variations. Among these control methods, SMC is more favorable control algorithm for inverter system because of its inherent switching nature [2] that is compatible with VSI gate switching.…”

Section: Introductionmentioning

confidence: 99%

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Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

et al. 2020

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For closed-loop controlled DC-AC inverter system, the performance is highly influenced by load variations and online current measurement. Any variation in the load will introduce unwanted periodic error at the inverter output voltage. In addition, when the current sensor is in faulty condition, the current measurement will be imprecise and the designed feedback control law will be ineffective. In this paper, a sensorless continuous sliding mode control (SMC) scheme has been proposed to address these issues. The chattering effect due to the discontinuous switching nature of SMC has been attenuated by designing a novel boundary-based saturation function where the selection of the thickness of boundary is dependent to the PWM signal generation of the inverter. In order to remove the dependency on the current sensor, a particle swarm optimization(PSO) based modified observer is proposed to estimate the inductor current in which the observer gains are optimized using PSO by reducing the estimation errors cost function. The proposed dynamic smooth SMC algorithm has been simulated in MATLAB Simulink environment for 0.2-kVA DC-AC inverter and the results exhibit rapid dynamic response with a steady-state error of 0.4V peak-to-peak voltage under linear and nonlinear load perturbations. The total harmonic distortion (THD) is also reduced to 0.20% and 1.14% for linear and non-linear loads, respectively.

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“…Besides, a model predictive control (MPC) was developed for PV sources in a smart DC distribution system to achieve MPPT and droop control [16]. Moreover, reference [17] presented an enhanced forced switching sliding mode control (FSSMC) scheme to reject uncertainties and disturbances, which can significantly enhance the robustness of PV system and was implemented by an experimental prototype. In literature [18], a disturbance estimator was used for the digital predictive current controller, which can minimize its sensitivity against parameter uncertainties and can rapidly reject grid-side disturbances.…”

Section: Introductionmentioning

confidence: 99%

Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems

Yang

Shu

et al. 2018

Journal of Renewable and Sustainable Energy

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In order to achieve the maximum power point tracking (MPPT) of Photovoltaic (PV) systems in the presence of time-varying stochastic operation conditions and various uncertainties/disturbances, a passivity-based fractional-order sliding-mode control (PbFoSMC) scheme is proposed. The design can be classified into two steps, i.e., (a) Construct a storage function in terms of the tracking error of DC-link voltage, DC-link current and q-axis current for the PV system, upon which the actual characteristics of each term is thoroughly analyzed. Moreover, the beneficial terms are carefully retained to enhance the dynamical responses of the closed-loop system while the detrimental terms are fully removed to realize a global control consistency; (b) Based on the passivized system, a fractional-order sliding-mode control (FoSMC) is incorporated as an additional input, which can considerably improve the control performance with the aim of rapid uncertainties/disturbances rejection. Four case studies, including the solar irradiance change, temperature variation, power grid voltage drop, and PV inverter parameter uncertainties, are undertaken to evaluate the effectiveness of PbFoSMC in comparison to that of PID control, passivity-based control (PBC), and sliding-mode control (SMC), respectively. At last, a dSpace based hardware-in-loop (HIL) test is carried out to validate the implementation feasibility of PbFoSMC.

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Sliding mode control, implementation and performance analysis of standalone PV fed dual inverter

Cited by 18 publications

References 31 publications

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems

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