A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Linear quadratic optimal control of solar photovoltaic system: An experimental validation
This work reports on the development of Linear Quadratic Regulator (LQR) based maximum power point tracking method for standalone photovoltaic system. The advantages of the method are faster tracking ability, transfer of maximum deliverable power and its implementation with reduced complexity. The tracking performance of the proposed LQR method is compared with that of the conventional Perturb and Observe (P&O) method in MATLAB/Simulink environment for both constant and varying irradiation conditions. The improved performance of the LQR method in terms of tracking speed and tracking efficiency is confirmed through experimental results obtained using dSPACE controller.
Linear quadratic optimal control of solar photovoltaic system: An experimental validation
This work reports on the development of Linear Quadratic Regulator (LQR) based maximum power point tracking method for standalone photovoltaic system. The advantages of the method are faster tracking ability, transfer of maximum deliverable power and its implementation with reduced complexity. The tracking performance of the proposed LQR method is compared with that of the conventional Perturb and Observe (P&O) method in MATLAB/Simulink environment for both constant and varying irradiation conditions. The improved performance of the LQR method in terms of tracking speed and tracking efficiency is confirmed through experimental results obtained using dSPACE controller.
Linear quadratic optimal control of solar photovoltaic system: An experimental validation
MP, Anbarasi (author) / S, Kanthalakshmi (author)
2016-09-01
14 pages
Article (Journal)
Electronic Resource
English
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