c9ed1e85a3958bd17a2e653568f7e6df energies_a2020v13n21p5678.pdf dfd88305e3ad31f7f8e19d85ae44847725562d96 energies_a2020v13n21p5678.pdf af847519e1f639fd57b4011577f2da6f1828b7f1a84069616efb23a202724837 energies_a2020v13n21p5678.pdf Title: Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking "2279 Subject: 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). Keywords: photovoltaic (PV); maximum power point tracking (MPPT); adaptive sliding mode controller (ASMC); improved pattern search method (IPSM); particle swarm optimization (PSO) Author: Hina Gohar Ali and Ramon Vilanova Arbos Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.18 CreationDate: Fri Oct 30 13:48:48 2020 CET ModDate: Fri Oct 30 14:03:00 2020 CET Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 18 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 5578484 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- LNZVRW+Pxsy Type 1 Builtin yes yes no 10 0 JLOVMM+VnURWPalladioL Type 1 Custom yes yes no 14 0 GQBELB+URWPalladioL-Ital Type 1 Custom yes yes no 19 0 FMAGDV+URWPalladioL-Bold Type 1 Custom yes yes no 24 0 LGFDVG+URWPalladioL-Roma Type 1 Custom yes yes no 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0 FBODPE+PalatinoLinotype-Roman TrueType WinAnsi yes yes no 590 0 FBOEIC+TimesNewRomanPSMT TrueType WinAnsi yes yes no 593 0 VSHNAE+Rpcxr Type 1 Builtin yes yes no 610 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-10-02 04:24:40 CEST RepresentationInformation: energies_a2020v13n21p5678.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2023-03-31 11:39:37 CEST Size: 5578484 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 794 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Problem Formulation Destination: section.2 Item: Title: System Model Destination: section.3 Children: Item: Title: MPPT Algorithms Destination: subsection.3.1 Children: Item: Title: MPPT Algorithm Based on P&O Destination: subsubsection.3.1.1 Item: Title: MPPT Algorithm Based on PSO Destination: subsubsection.3.1.2 Item: Title: MPPT Algorithm Based on IPSM Destination: subsubsection.3.1.3 Item: Title: Control Scheme Destination: subsection.3.2 Item: Title: Simulation Results and Discussion Destination: section.4 Children: Item: Title: Simulation Results Destination: subsection.4.1 Children: Item: Title: Response Using P&O Destination: subsubsection.4.1.1 Item: Title: Response Using PSO Destination: subsubsection.4.1.2 Item: Title: Response Using Improved PSM Destination: subsubsection.4.1.3 Item: Title: Discussion Destination: subsection.4.2 Item: Title: Conclusions Destination: section.5 Item: Title: References Destination: section.5 Info: Title: Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking "2279 Author: Hina Gohar Ali and Ramon Vilanova Arbos Subject: 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). Keywords: photovoltaic (PV); maximum power point tracking (MPPT); adaptive sliding mode controller (ASMC); improved pattern search method (IPSM); particle swarm optimization (PSO) Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.18 CreationDate: Fri Oct 30 13:48:48 CET 2020 ModDate: Fri Oct 30 14:03:00 CET 2020 ID: 0xb73fa32727b4f510b75a47dfd5c443e8, 0xb73fa32727b4f510b75a47dfd5c443e8 Filters: FilterPipeline: FlateDecode Fonts: Type1: Font: BaseFont: ASICFG+Rpxr FontSubset: true FirstChar: 11 LastChar: 47 FontDescriptor: FontName: ASICFG+Rpxr Flags: Symbolic FontBBox: -40, -283, 904, 728 FontFile: true Font: BaseFont: MCOGSM+Pxex FontSubset: true FirstChar: 34 LastChar: 105 FontDescriptor: FontName: MCOGSM+Pxex Flags: Symbolic FontBBox: -5, -3116, 1694, 792 FontFile: true Font: BaseFont: VSHNAE+Rpcxr FontSubset: true FirstChar: 169 LastChar: 169 FontDescriptor: FontName: VSHNAE+Rpcxr Flags: Symbolic FontBBox: -212, -286, 1344, 973 FontFile: true Font: BaseFont: QTLELQ+Pxbsy 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