Non-Linear Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking
In this paper, nonlinear sliding mode control (SMC) techniques formulated for extracting maximum power from a solar photovoltaic (PV) system under variable environmental conditions employing the perturb and observe (P and O) maximum power point tracking (MPPT) technique are discussed. The PV system...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/27720
- Acceso en línea:
- https://www.researchgate.net/publication/338618660_Non-Linear_Sliding_Mode_Controller_for_Photovoltaic_Panels_with_Maximum_Power_Point_Tracking
http://hdl.handle.net/20.500.12010/27720
http://expeditiorepositorio.utadeo.edu.co
- Palabra clave:
- Photovoltaic panel
Integer order SMC
Maximum power point tracking
Células solares
Baterías solares
Células fotovoltaicas
- Rights
- License
- Abierto (Texto Completo)
Summary: | In this paper, nonlinear sliding mode control (SMC) techniques formulated for extracting maximum power from a solar photovoltaic (PV) system under variable environmental conditions employing the perturb and observe (P and O) maximum power point tracking (MPPT) technique are discussed. The PV system is connected with load through the boost converter. A mathematical model of the boost converter is derived first, and based on the derived model, a SMC is formulated to control the gating pulses of the boost converter switch. The closed loop system stability is verified through the Lyapunov stability theorem. The presented control scheme along with the solar PV system is simulated in MATLAB (matric laboratory) (SMC controller and PWM (Pulse Width Modulation) part) and PSIM (Power electronics simulations) (solar PV and MPPT algorithm) environments using the Simcoupler tool. The simulation results of the proposed controller (SMC) are compared with the classical proportional integral derivative (PID) control scheme, keeping system parameters and environmental parameters the same. |
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