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Dual surface sliding mode controller for photovoltaic systems enhanced by a ripple domain search maximum power point tracking algorithm for fast changing environmental conditions

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PROJECT TITLE :

Dual surface sliding mode controller for photovoltaic systems enhanced by a ripple domain search maximum power point tracking algorithm for fast changing environmental conditions

ABSTRACT:

During this research, a dual surface sliding mode controller is proposed and implemented to increase robustness and speed of boost converter, its asymptotic response is proved in the presence of disturbances. Likewise, a filtered mapping pulse width modulation technique is developed to attenuate the chattering downside caused by finite frequency switching. Ripple domain search (RDS), a definite most power point tracking (MPPT) algorithm, is advised to seek out the utmost power point (MPP) in photovoltaics. RDS uses the inherent ripple drawback of the converter as a tool for finding MPP. By combining the proposed fast controller and also the RDS algorithm, a fast and robust MPPT technique is obtained, that is simple to implement, eliminates the requirement for initial parameter tuning and is free from oscillations. Moreover, the proposed controlling method and MPPT algorithm are tested using Mitsubishi Electrical MF170W module and their efficiency is compared with conventional methods (including P & O) in quick irradiation changing conditions. The proposed method harvests a half dozenpercent higher power than P & O and constant voltage. Compared with incremental conductance 24% a lot of power is harvested. Finally, the practicality of the controller and algorithm was experimentally validated with a prototype system using a 5 W Evergreen module.


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Dual surface sliding mode controller for photovoltaic systems enhanced by a ripple domain search maximum power point tracking algorithm for fast changing environmental conditions - 4.8 out of 5 based on 25 votes

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