An Adaptive Sliding Mode Control based Maximum power point tracking method for a PV stand-alone system

Kchaou, Amel; Ayadi, Assil; Naamane, Aziz; M'Sirdi, Kouider; Koubaa, Yassine

doi:10.1109/icosc.2017.7958702

Cited by 3 publications

(3 citation statements)

References 12 publications

(10 reference statements)

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“…Let system (8) satisfy Assumptions 1 and 2. Consider the tracking error dynamics (11), sliding surfaces (12), control law (13), state observer (14), and disturbance observer (15). The trajectory tracking goal is fulfilled in fixed time by applying the control law (13) to the tracking error dynamics (11) and using Equations ( 12), ( 14), and (15) where the effect of the disturbances and uncertainties is fully rejected, and the estimated states are provided in the controller.…”

Section: State and Disturbance Observer-based Controller Design And S...mentioning

confidence: 99%

“…An effective approach found in the literature for dealing with parametric uncertainties in single or double integral system is adaptive control [7,8], and notable adaptive design method has been proposed in refs. [9][10][11] for the control of high-order systems. On the other hand, finite-time stability is known for its fast transient performance achievement [12].…”

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confidence: 99%

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Fixed‐time sliding mode observer‐based controller for a class of uncertain nonlinear double integrator systems

Hosseinabadi

Abadi

Schwartz

et al. 2023

Asian Journal of Control

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This paper investigates a fixed‐time convergence issue using the sliding mode observer‐based controller for a class of uncertain nonlinear double integrator systems. This observer‐based controller is designed assuming that only the first state measurement is available and there is no information about external disturbances and modeling uncertainties. A new form of sliding mode observer in combination with a sliding mode controller is designed to estimate unmeasured state and unknown disturbances and uncertainties as well as provide the estimated data in the control law. A novel form of sliding surfaces for the robust observer‐based controller is proposed for which fixed‐time convergence is guaranteed to achieve trajectory tracking. In the proposed fixed‐time scheme, the bound on the settling time is user‐defined using design parameters regardless of the system's initial conditions. The control law and observer law are designed such that the chattering issue is alleviated in the control signal. The stability analysis of the closed‐loop system using the observer‐based controller is established via the Lyapunov theory. The validity of the controller design is tested by applying and simulating an example of a robot manipulator in Simulink/MATLAB. The superiority of the proposed method is demonstrated by comparing it with two other methods from the relevant literature.

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Section: State and Disturbance Observer-based Controller Design And S...mentioning

confidence: 99%

mentioning

confidence: 99%

Fixed‐time sliding mode observer‐based controller for a class of uncertain nonlinear double integrator systems

Hosseinabadi

Abadi

Schwartz

et al. 2023

Asian Journal of Control

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“…In this paper, an Adaptive Sliding Mode Controller (ASMC) [32] is applied with a two-loop control approach with the purpose of extracting the maximum power from a PV panel under non ideal/constant conditions. The study uses an IPSM-based MPPT algorithm to generate the commanded reference voltages for the voltage control loop.…”

Section: Introductionmentioning

confidence: 99%

Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

Ali

Vilanova

2020

Energies

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Photovoltaic system is utilized to generate energy that relies upon the ecological conditions, for example, temperature, irradiance, and the load associated with it. Considering the non-linear component of photovoltaic (PV) array and the issue of low effectiveness because of the variable natural conditions, the Maximum Power Point Tracking (MPPT) method is required to extract the maximum power from the PV system. The adopted control is executed utilizing an Adaptive Sliding Mode Controller (ASMC) and the enhancement is actualized utilizing an Improved Pattern Search Method (IPSM). This work employs IPSM based optimization approach in order to command the underlying ASMC controller. The upper level decision determines the sliding surface for the adaptive controller. As a non-linear strategy, the stability of the adaptive controller is guaranteed by conducting a Liapunov analysis. On the practical side, MATLAB/Simulink is used as simulator for the controller implementation and coupling with PSIM in order to connect it with the PV system object of control. The simulation results validate that the proposed controller effectively improves the voltage tracking, system power with reduced chattering effect and steady-state error. The performance of the proposed control architectures is validated by comparing the proposals with that of the well-known and widely used Proportional Integral Derivative (PID) controller. That operated as a lower level controller for a Perturb & Observe (P&O) and Particle Swarm Optimization (PSO).

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Current Control Scheme of a Permanent Magnet Synchronous Generator in Wind Energy Conversion System Using Adaptive Sliding Mode Control

Kchaou¹,

Naamane²,

Koubaa³

et al. 2018

2018 15th International Multi-Conference on Systems, Signals &Amp; Devices (SSD)

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An Adaptive Sliding Mode Control based Maximum power point tracking method for a PV stand-alone system

Cited by 3 publications

References 12 publications

Fixed‐time sliding mode observer‐based controller for a class of uncertain nonlinear double integrator systems

Fixed‐time sliding mode observer‐based controller for a class of uncertain nonlinear double integrator systems

Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

Current Control Scheme of a Permanent Magnet Synchronous Generator in Wind Energy Conversion System Using Adaptive Sliding Mode Control

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