Approximation Based Optimal Control Design Strategy for the Magnetic Levitation System

Abstract

Abstract: This paper presents the stabilization and trajectory tracking of magnetic levitation system using optimal control technique. The magnetic levitation (Maglev) system is exceedingly unstable and nonlinear system. The magnetic levitation has been a desirous area of exploration for utilization, especially in the scope of automotive where low losses due to friction and low energy consumption are an important idea. The (Maglev) system has become a large effective technology in the intensity of the mass transportation system due to its frictionless motion. Its controller design is a challenging problem. The design process of optimal control law for large scale systems is very difficult due to main demerits of optimal control principle which demands feedback from completely state variables that are demonstrated to depict the dynamics of the system (Maglev). Balance truncation method for model order reduction is used for reaching at the controller parameters; the MOR technique offers a stage to a simple understanding of the main system. It also supply a simpler dynamic for simple treatment and control characteristic. The simulation results are presented to compare the effectiveness of the controller in terms of their ability to respond to step inputs by the proposed optimal control method.

Keywords: Magnetic levitation system (MLS), MOR, Optimal

Cite this Article Dhananjay Gupta, Santosh Kumar Suman, Awadhesh Kumar. Approximation Based Optimal Control Design Strategy for the Magnetic Levitation System. Journal of Electronic Design Technology. 2019; 10(1): 8–14p.