Tuning of a PID Controller by Bacterial Foraging Algorithm for Position Control of DC Servo Motor | Zendy

Manal Jasim | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Tuning of a PID Controller by Bacterial Foraging Algorithm for Position Control of DC Servo Motor

Author(s) -

Manal Jasim

Publication year - 2018

Publication title -

engineering and technology journal

Language(s) - English

Resource type - Journals

eISSN - 2412-0758

pISSN - 1681-6900

DOI - 10.30684/etj.36.3a.7

Subject(s) - pid controller , control theory (sociology) , controller (irrigation) , dc motor , position (finance) , servomotor , open loop controller , benchmark (surveying) , servo , direct current , computer science , control engineering , servomechanism , engineering , control (management) , closed loop , temperature control , artificial intelligence , agronomy , electrical engineering , geodesy , finance , voltage , economics , biology , geography

Controlling the position of Direct Current servo motor is the first aim of this paper, by Bacterial Foraging Algorithm (BFA), the best Proportional – Integral - Derivative (PID) controller parameters were obtained through Mat-Lab application, including the simulation and modeling of Direct Current servo motor, BFA controller and conventional PID Controller as benchmark to the performance of BFA. Proportional – Integral - Derivative controller is a closed loop system, the error made by the Direct Current motor was corrected and determine the correct position to the desired point were controlled By integrating the Proportional – Integral - Derivative controller. Kp, Ki and Kd parameters was tuned to the find best values, which make the Direct Current Motor reached quickly the accurate position without any mistake.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research