Using ant colony optimization algorithm for direct current motor speed controller

Abstract

The development of high performance motor drives is very important in all industrial fields and shows the importance of development in high-precision industries that respond to the rapid response to the organization of load to perform the task high. In this project, the most common PID control is introduced in industrial use because of its remarkable efficiency, simplicity of implementation and application, and how to synthesize this type of controller using artificial intelligence . the ants colony algorithm which synthesizes the integral differential control coefficients to control the speed and response of the motor The main objective. The results were compared between the DC motor without controller , using automatic tuning of PID controller, using the ants colony algorithm and fuzzy logic the last one have result from previous study . using MATLAB software to give the result.