Enhancing position control performance of magnetic levitation system using optimized PID-P controller: a performance analysis

Magnetic levitation systems (maglev) have emerged as a promising technology for a wide range of applications due to their numerous benefits. However, these systems are highly unstable and nonlinear, requiring a suitable controller to enhance their performance. This study proposes a hybrid Proportional-Integral-Derivative (PID-P) controller to improve the position control of the maglev system. A non-linear behaviour model representing the maglev system is developed using appropriate mathematical modelling. The performance results of the proposed controller are compared with those of a 2- DOF PID controller using simulation in Matlab- Simulink. In this study, we focus on the performance analysis of an optimized PID- P controller for the position control of MLS. First, we develop a mathematical model for the system and linearize the non- linear dynamics to establish the input-output relationship based on the physical parameters of the MLS. We then apply conventional PID and PID-P controllers for MLS control and optimize the PID-P controller using modern optimization algorithms The findings indicate that the proposed PID-P controller outperforms the traditional 2-DOF PID controller in terms of position control performance. The transient and steady-state responses of both modern and classical controllers are also analysed. The results of this study provide a useful enhancement analysis in the time domain for the unstable position control of the maglev system.