This paper is published in Volume-4, Issue-3, 2018
Area
Control System
Author
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S
Org/Univ
ACE College of Engineering, Thiruvananthapuram, Kerala, India
Keywords
Magnetic levitation, IOPID, FOPID, Genetic algorithm, PID
Citations
IEEE
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S. Implementation of integer order PID controller and fractional order PID controller using genetic algorithm for maglev system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S (2018). Implementation of integer order PID controller and fractional order PID controller using genetic algorithm for maglev system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S. "Implementation of integer order PID controller and fractional order PID controller using genetic algorithm for maglev system." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S. Implementation of integer order PID controller and fractional order PID controller using genetic algorithm for maglev system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S (2018). Implementation of integer order PID controller and fractional order PID controller using genetic algorithm for maglev system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Aneesha Mini S N, Ripsana Parveen, Rameez Raja, Smrithi U S. "Implementation of integer order PID controller and fractional order PID controller using genetic algorithm for maglev system." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
Maglev is the latest technology which has been implemented in most of the foreign countries. It is a method by which an object is suspended in air by means of magnetic force. As it does not have moving parts, the wear and tear of the parts are minimal. But the problem with the magnetic levitation system is its stability. So in order to stabilize the system, several controllers must be used. This paper chooses integer order PID (IOPID) and fractional order PID (FOPID) controllers to stabilize the system. As PID controllers alone cannot meet the required specifications, an optimization technique is used to found out the controller parameters. Due to its high potential for global optimization, genetic algorithm(GA) has been used to tune the controller parameters. On an overall, this paper presents a study on the comparison between IOPID and FOPID controllers with and without genetic algorithm(GA) in magnetic levitation system.
