Artificial Immune System based PID Tuning for DC Servo Speed Control | Zendy

Muna Hadi | Zendy; Saad Zaid | Zendy

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Artificial Immune System based PID Tuning for DC Servo Speed Control

Author(s) -

Muna Hadi,

Saad Zaid

Publication year - 2016

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2016912265

Subject(s) - pid controller , computer science , control theory (sociology) , electronic speed control , servomechanism , servo , servo control , dc motor , control engineering , control (management) , artificial intelligence , electrical engineering , temperature control , engineering

In this paper, the application of the Artificial Immune System (AIS) algorithm for optimization problems is presented, DC Servo Motor (DCSM) speed control was taken as a case study. The PID controller was tuned using AIS algorithm by minimizing the Integral Time Absolute Error (ITAE). The results were compared with the results of the ZieglerNichols tuning method and it was obvious that the AIS gives better results. The AIS algorithm showed it has the ability to find the global optimum solution and it gave a response better than the response of the traditional tuning methods in terms of rise time, settling time, steady state error and overshoot.

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