Designing a new robust sliding mode controller for maximum power point tracking of photovoltaic cells

Mojallizadeh, Mohammad Rasool; Badamchizadeh, Mohammad Ali; Khanmohammadi, Sohrab; Sabahi, Mehran

doi:10.1016/j.solener.2016.03.038

Cited by 59 publications

(36 citation statements)

References 26 publications

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“…There are two essential steps in the project of a sliding modes control that are: definition of the sliding surface and design of the control law [37]. These two steps will be explained below.…”

Section: Sliding Mode Plus Pi Controlmentioning

confidence: 99%

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Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

et al. 2019

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In this paper, a sliding mode plus proportional-integral (PI) controller for a boost converter in a photovoltaic system is proposed. The proposed controller is characterized by being easy to implement and by operating with constant switching frequency. The parameters of the proposed controller are calculated using the weighted particle swarm optimization technique, ensuring low percentage of overshoot and short setting time. The use of this optimization technique allows one to ensure the stability of the controller. A linear lead-leg controller is considered in order to compare the performance of the proposed controller. Finally, experimental results using a solar kit are presented to verify the performance of the proposed controller.

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Section: Sliding Mode Plus Pi Controlmentioning

confidence: 99%

“…The sliding surface is defined according to the control objectives of the system [37]. Then, the control objectives for the system studied are related to the error between the measured variable and the reference, since the control scheme aims to reduce the error to zero.…”

Section: Definition Of the Sliding Surfacementioning

confidence: 99%

Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

et al. 2019

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“…The use of by-pass diodes has limited this problem, but power potentially available from by-passed cells is lost. Various control methods, such as such as perturb and observe (P&O) (Femia et al,2009;Killi and Samanta, 2015;Elbaset et al, 2016), Incremental conductance (IncCond) (Elgendy et al, 2012;Radjai et al, 2014;Li et al, 2016), hill climbing (HC) (Alajmi et al, 2011;Xiao et al, 2016), fuzzy logic (Messai et al, 2011;Letting et al, 2012;Cheng et al, 2015;Rezvani and Gandomkar, 2016), artificial neural network (ANN) ( Liu et al, 2013;Boumaaraf et al 2015;Lin et al, 2016;Messalti et al, 2017), particle swarm optimization (PSO) Cheng et al, 2015;Letting et al, 2012;Manickam et al, 2016;Renaudineau et al, 2015), sliding mode (Kim, 2007;Chu and Chen, 2009;Zhang et al, 2015;Mojallizadeh et al, 2016;Ouchen et al, 2016) and so on, have been proposed to enable optimal power generation from the chained PV strings with by-pass diodes and under partial shading conditions, but satisfactory solutions in terms of simultaneously maximizing the power generated and protecting the PV panels have still been a challenge (Rezk and Eltamaly, 2015;Chen et al, 2015;Liu et al, 2016;Kumar and Chatterjee, 2016;Gupta et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Multilevel DC-link converter photovoltaic system with modified PSO based on maximum power point tracking

et al. 2017

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Abstract:The paper presents a modified particle swarm optimization (MPSO) control strategy for the maximum power point tracking applied to a multilevel DC-link PV power generation system. This system consists of a chain of PV modules with individual DC-DC converters and has a DC-AC converter at its terminals for generating AC voltage. The proposed MPSO control method can predict all PV voltages at their maximum power point on the basis of respective light level and temperature. A PWM with permutation of DC converter switching is applied to balance switch utilization. The method is applied to a system of five-voltage levels with two PV-converter units under different light intensities and the results are compared with the perturb and observe (P&O) method and the traditional PSO method under the same operating conditions. The paper shows that the new method gives more rapid convergence, increased power output, and lower total harmonic distortion.

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“…To cope with parameter perturbation, MPPT algorithms with SM control are proposed for eliminating the perturbation e®ects. 16,17 In Ref. 18 MPP curve is approximated, taking into account not only the voltage and current on the PV panel, but also the temperature.…”

Section: Introductionmentioning

confidence: 99%

“…The latter phenomenon is also present in boost converters with PWM-based continuous-time SM control techniques. It can be suppressed by using the boundary layer approach, 17 the chattering-free 14,16 control methods or, recently, the tensor product model 24 for sliding surface design. 25 One of the¯rst approaches in design of discrete-time SM-like controller is considered in Ref.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Microcontroller-Based Realization of Boost Converter with Quasi-Sliding Mode Control

Almawlawe

Mitic

Antić

et al. 2017

J CIRCUIT SYST COMP

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The paper considers a realization of quasi-sliding mode control for DC–DC boost-type converter on ATmega8 microcontroller. The proposed control law represents a combination of discrete-time sliding mode and generalized minimum variance control techniques. The control design is based on input–output converter model and only the sensed output voltage is used for generating control signal. This approach simplifies the practical realization of boost converter since there is no need for current sensors. By introducing an additional discrete-time integrator in control, the converter accuracy in steady-state under load and input voltage variations is enhanced. The experimental prototype is developed and several experiments are conducted to validate the functionalities of the proposed solution. The maximum load and line regulation errors of the proposed converter are 1.55% and 2.9%, respectively.

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Designing a new robust sliding mode controller for maximum power point tracking of photovoltaic cells

Cited by 59 publications

References 26 publications

Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

Multilevel DC-link converter photovoltaic system with modified PSO based on maximum power point tracking

An Approach to Microcontroller-Based Realization of Boost Converter with Quasi-Sliding Mode Control

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