FIREFLY ALGORITHM BASED SPEED CONTROL OF DC SERIES MOTOR

Abstract

This project describes about the speed control of DC motor in an efficient way. The constant DC source is fed as input to the DC-DC Buck Boost converter. The Buck and Boost operation are carried out based on the duty cycle to the converter. While using PI controller for speed control optimization problem arises such as high starting overshoot, sensitivity to controller gains and sluggish response to sudden disturbances. To overcome this Firefly Algorithm (FA) and Cuckoo Search (CS) optimization algorithm are implemented along with PI controller. FA and CS optimization algorithm is used for tuning the PI controller parameters to control the duty cycle of DC / DC converter and therefore speed control of DC motor. Firefly Algorithm (FA) and Cuckoo Search 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 FA based speed control of DC motor has been compared with CS Algorithm (GA) under various operating conditions and disturbances. The results of the proposed FA are demonstrated through time domain analysis, and various performance indices. Simulation results have shown the validity of the proposed FA technique in controlling the speed of DC series motor over CS and conventional algorithm.

Existing System

In the existing system FLC (Fuzzy Logic Controller) is used.

Proposed System

The constant DC source from the DC is fed as input to the DC-DC Buck Boost converter. The Buck and Boost operation are carried out based on the duty cycle to the converter. FA (Firefly Algorithm) and CS (Cuckoo Search) optimization algorithm along with the PI controller is used for speed control of DC motor supplied by PV system. FA and CS optimization algorithm is used for tuning the PI controller parameters to control the duty cycle of DC/ DC converter and therefore speed control of DC motor. In PI controller optimization problem arises. To overcome this FA and CS optimization algorithm are implemented along with PI controller. By minimizing the time domain objective function, the error between reference speed and actual one is optimized. Thereby the speed control of DC motor is enhanced in an efficient way. The objective function is given by Ji=∫_0^T▒〖e^2 (t)dt〗. It is the Root Mean Square Error. The main objective is to minimize the error with the faster convergence rate. The effectiveness of the proposed controller is tested under different operating conditions. Both FA and CS algorithm performance are compared.

Architecture

Block Diagram for Proposed System