Speed Control of Solar Powered DC Motor through PI-ANN Controller

Abstract

In recent years a lot of work has been done regarding energy generation from photovoltaics (PV). A Separately Excited DC Motor (SEDM) is the most used machine, especially in the power industry. Footings, transports, weighty organizers, actuators are unquestionably the most normally known machines which are dependent upon the SEDM for their steady and proficient activity. These days, many moving gadgets accept their energy from a battery. DC motor is the most reasonable choice for these frameworks. Similarly, the speed of these motors can be controlled effectively and on a large scale. Shrewd control strategies are generally utilized in control of the modern cycles due to straightforwardness and high capabilities. The adaptable control elements of the DC motor have added to the broad utilization of the DC motor in the industry. With power semiconductor units progressively being utilized, DC motor speed control is becoming progressed and precise. Proportional-integral-derivative (PID) being the most basic and the broadly conveyed regulator in the modern drives isn't exactly agreeable to the answer for superior execution drives as these drives are exposed to the parametric vulnerability, unmodeled elements and variable burden conditions during activity. To extend the vigor and versatile capacities of traditional PID regulator, a neural network based PID (PINN) like controller is proposed to accomplish an exact direction control of the speed for an ongoing frame framework. The main objective of this thesis is to control the speed of solar based separately excited DC motor by varying the field current. In a nutshell I will be observing the behavior of solar based DC motor at different speed values by varying the field current and simulated it on MATLAB as well.