Loading

Position Tracking of ML System using CSA Based PID Controller
P. Ananthababu1, K. Rama Sudha2

1P. Ananthababu, Department of Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Maisammaguda, Secunderabad – 500100, India.
2K. Rama Sudha, Department of Electrical Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam-530003, India.

Manuscript received on 28 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 1956-1959 | Volume-8 Issue-11, September 2019. | Retrieval Number: K21440981119/2019©BEIESP | DOI: 10.35940/ijitee.K2144.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The classical proportional integral derivative (PID) controllers are still use in various applications in industry. Magnetic levitation (ML) systems are rigidly nonlinear and sometimes unstable systems. Due to inbuilt nonlinearities of ML systems, tracking of position of ML Systems is still difficult. For the tracking purpose of position, PID controller parameters are found by choosing Cuckoo Search Algorithm (CSA) of optimization. The ranges of parameters are customized by z-n method of parameters. Simulation results show the tracking of position of ML systems using conventional and optimized parameters obtained with the CSA based controller.
Keywords: Conventional Controllers, Nonlinear Magnetic Levitation System, Optimization algorithms, z-n method
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT