Robust controller for grid‐tied PV inverters based on continuous non‐linear predictive and integral sliding mode control
Copyright policy )Robust controller for grid‐tied PV inverters based on continuous non‐linear predictive and integral sliding mode control
AbstractThis paper proposes a robust continuous nonlinear control method for grid‐tied photovoltaic (PV) inverters by combining model predictive control and integral sliding mode control (ISMC). The robustness of the proposed augmented controller is demonstrated mathematically by showing that the equivalent control signal of the ISMC system cancels disturbances to the system. Further, the proposed controller can compensate for system perturbations without knowing their characteristics, thereby simplifying controller design for the PV systems. The robustness of the proposed controller against parameter uncertainties and external disturbances was demonstrated via experimental and simulation verification.
- Khalifa University of Science and Technology United Arab Emirates
- Minia University Egypt
- Minia University Egypt
- Abu Dhabi University United Arab Emirates
- Abu Dhabi University United Arab Emirates
Artificial intelligence, Sliding mode control, PV System, Robustness (evolution), Robust control, Geometry, Control (management), Biochemistry, Quantum mechanics, Gene, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, Integral sliding mode, Model predictive control, Electrical and Electronic Engineering, Grid, Biology, Photovoltaic system, Load Frequency Control, Energy, Renewable Energy, Sustainability and the Environment, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Photovoltaic Maximum Power Point Tracking Techniques, Computer science, Agronomy, Intelligent Control, Chemistry, Control and Systems Engineering, Electrical engineering, Physical Sciences, Nonlinear system, Control and Synchronization in Microgrid Systems, Grid-Connected Inverters, Mathematics
Artificial intelligence, Sliding mode control, PV System, Robustness (evolution), Robust control, Geometry, Control (management), Biochemistry, Quantum mechanics, Gene, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, Integral sliding mode, Model predictive control, Electrical and Electronic Engineering, Grid, Biology, Photovoltaic system, Load Frequency Control, Energy, Renewable Energy, Sustainability and the Environment, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Photovoltaic Maximum Power Point Tracking Techniques, Computer science, Agronomy, Intelligent Control, Chemistry, Control and Systems Engineering, Electrical engineering, Physical Sciences, Nonlinear system, Control and Synchronization in Microgrid Systems, Grid-Connected Inverters, Mathematics
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