This research provides a twin control technique with the goal of realizing levitation for a revolutionary permanent magnetic levitation system. First, a linked dynamic model comprising of two subsystems was created. Four joint control schemes of rotation angle and air gap length were developed based on the research of stable levitation. Next, the adjustment of the controller's parameters was applied using the non-linear inertia weight version of the enhanced PSO (particle swarm optimization) method. Finally, step-Experiments and response simulations were run to evaluate the effectiveness of the four suggested control techniques. The outcomes show that PSO is a valid method for adjusting proportional-integral-derivative (PID) parameters. Furthermore, although the cascade double PD controller and parallel double PD controller have larger steady-state errors, they both perform better dynamically. The mistake could be removed by employing PID control for the air gap. The cascade control approach outperforms the parallel PID-PD control strategy in terms of 0.03 s rising time, 4.3 s settling time, and 24% peak overshoot.

Revolutionary, Permanent Magnetic Levitation System, Stable Levitation, Integral-Derivative (PID) Parameters.