Assessment Study on Speed Control of DC Series Motor Fed by Photovoltaic System via Bacterial Foraging
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Abstract
This paper presents the speed control of a DC series
motor supplied by Photovoltaic (PV) system. The proposed design
problem of speed controller is formulated as an optimization
problem. Bacteria Foraging Optimization Algorithm (BFOA) is
employed to search for optimal Proportional Integral (PI) parameters
of speed controller by minimizing the time domain objective
function. The performance of the proposed technique has been
evaluated with respect to load torque variation, ambient temperature
and radiation. Simulation results have shown the validity of the
proposed technique in controlling the speed of DC series motor
under different disturbances.
motor supplied by Photovoltaic (PV) system. The proposed design
problem of speed controller is formulated as an optimization
problem. Bacteria Foraging Optimization Algorithm (BFOA) is
employed to search for optimal Proportional Integral (PI) parameters
of speed controller by minimizing the time domain objective
function. The performance of the proposed technique has been
evaluated with respect to load torque variation, ambient temperature
and radiation. Simulation results have shown the validity of the
proposed technique in controlling the speed of DC series motor
under different disturbances.