Performance analysis and investigation on solar powered DC fan

Abstract

An investigation into the design of an effective strategy to maximize solar energy harvest and to minimize disturbance error with intelligent MPPT controller for varying levels of solar irradiation and temperature is presented. The Solar PV system comprises a solar PV module, DC-DC buck boost converter, ultracapacitor, PID controller, Inverter, and permanent magnet Brushless D.C. motor (BLDC) as a load. The thesis illustrates the work on the proposed MPPT controller for rapid changes in irradiation. From various MPPT methods previously proposed, incremental conductance technique is established due to its ease of implementation and accuracy in settling at MPP. An improved MPPT algorithm is explored which uses Heuristic approach on incremental conductance algorithm for an improved tracking efficiency, and a more efficient response. The proposed technique is incorporated into the controller where the output signal administers the DC-DC boost converter to accomplish the MPPT. The capacity of solar PV depends both on the transient power and nominal power required by any type of motor load. A method to optimize the required capacity of the Solar Panel by augmenting an Ultracapacitor bank for powering the transient needs of BLDC Motor is presented. newlineA PID based high-quality dynamic response characteristics controller is designed to improve the speed transient response of the BLDC motor thereby reducing the transient energy requirement of the BLDC Motor. Proper tuning of PID parameters is perilous to optimize the transient behavior of the motor. The underdamped step response tuning method has achieved optimal PID parameters when compared with other major tuning methods. newline