Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System
Authors
Keywords
-
Journal
Energies
Volume 11, Issue 3, Pages 606
Publisher
MDPI AG
Online
2018-03-10
DOI
10.3390/en11030606
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Performance Analysis of Conjugate Gradient Algorithms Applied to the Neuro-Fuzzy Feedback Linearization-Based Adaptive Control Paradigm for Multiple HVDC Links in AC/DC Power System
- (2017) et al. Energies
- Neuro-Fuzzy Wavelet Based Adaptive MPPT Algorithm for Photovoltaic Systems
- (2017) Syed Hassan et al. Energies
- Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System
- (2017) Sidra Mumtaz et al. Energies
- Full-State Tracking Control for Flexible Joint Robots With Singular Perturbation Techniques
- (2017) Joonyoung Kim et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- New parameter for current-sensorless MPPT in grid-connected photovoltaic VSIs
- (2017) Gamal M. Dousoky et al. SOLAR ENERGY
- A modified Perturb & Observe MPPT technique to tackle steady state and rapidly varying atmospheric conditions
- (2017) V. Kamala Devi et al. SOLAR ENERGY
- Indirect adaptive neurofuzzy Hermite wavelet based control of PV in a grid-connected hybrid power system
- (2017) Sidra MUMTAZ et al. Turkish Journal of Electrical Engineering and Computer Sciences
- A self-tuning NeuroFuzzy feedback linearization-based damping control strategy for multiple HVDC links
- (2017) Saghir AHMAD et al. Turkish Journal of Electrical Engineering and Computer Sciences
- Artificial Neural Network for Control and Grid Integration of Residential Solar Photovoltaic Systems
- (2017) Yang Sun et al. IEEE Transactions on Sustainable Energy
- Adaptive control paradigm for photovoltaic and solid oxide fuel cell in a grid-integrated hybrid renewable energy system
- (2017) Sidra Mumtaz et al. PLoS One
- Indirect adaptive soft computing based wavelet-embedded control paradigms for WT/PV/SOFC in a grid/charging station connected hybrid power system
- (2017) Sidra Mumtaz et al. PLoS One
- Input–Output Feedback Linearization Control With On-Line MRAS-Based Inductor Resistance Estimation of Linear Induction Motors Including the Dynamic End Effects
- (2016) Francesco Alonge et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Dynamics and input–output feedback linearization control of a wheeled mobile cable-driven parallel robot
- (2016) M. H. Korayem et al. MULTIBODY SYSTEM DYNAMICS
- Modeling and control of grid connected intelligent hybrid photovoltaic system using new hybrid fuzzy-neural method
- (2016) Alireza Rezvani et al. SOLAR ENERGY
- Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading condition
- (2015) T. Sudhakar Babu et al. APPLIED SOFT COMPUTING
- Design and real-time implementation of a new auto-tuned adaptive MPPT control for a photovoltaic system
- (2015) Raseswari Pradhan et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions
- (2015) P. Sivakumar et al. RENEWABLE ENERGY
- A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading
- (2014) Stefan Daraban et al. ENERGY
- Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level
- (2014) Kok Soon Tey et al. SOLAR ENERGY
- State feedback control and variable step size MPPT algorithm of three-level grid-connected photovoltaic inverter
- (2013) Djaafer Lalili et al. SOLAR ENERGY
- Voltage band based global MPPT controller for photovoltaic systems
- (2013) Nuri Gokmen et al. SOLAR ENERGY
- Robust Partial Feedback Linearizing Stabilization Scheme for Three-Phase Grid-Connected Photovoltaic Systems
- (2013) M. A. Mahmud et al. IEEE Journal of Photovoltaics
- On the coordinated control of multiple HVDC links using input–output exact linearization in large power systems
- (2012) Robert Eriksson et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter
- (2011) D. Lalili et al. RENEWABLE ENERGY
- A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system
- (2010) Aymen Chaouachi et al. SOLAR ENERGY
- Low-Frequency Current Oscillations and Maximum Power Point Tracking in Grid-Connected Fuel-Cell-Based Systems
- (2009) Alessandro Giustiniani et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Application of SMC With I/O Feedback Linearization to the Control of the Cascade Controlled-Rectifier/Inverter-Motor Drive System With Small dc-Link Capacitor
- (2008) Pisit Liutanakul et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started