Optimizing of DC Motor Speed Using PID Controller and Grey Prediction Algorithm

Abstract

This research is focus on the adjusting of a DC motor speed, predicts and expects the next values of errors that happen and appear from the difference between the actual speed and the desire speed.As known DC motor speed is hard to stabilize and adjusting in precise way, here we dealing with and use many techniques (PWM, PID controller and grey prediction) in order to reach and achieve suitable resultsfor speed and error. The main goal of this research is to introduce the grey prediction algorithm by using it to tune the PID controller parameters, the output of the PID controller represent the controlled output (actual motor speed) which will feeding back to subtract from desired value to calculate the error . PWM technique used to control analog circuits using digital outputs, this technique used to control and change the voltage across the motor’s terminals. ATMEGA16 is chosen as the brain board controllerto react towards the data received and to monitor the measurements of the output speed through the LCD, the results the expected to get is small values of errors at the majority of the cases study (different set points), and get numbers of errors that expect to be correspond to many and different set points.