PID Control Design for a Maglev Train System

Abstract

This document presents an application of a PID (proportional, integral and derivative) controller designed by the pole placement technique and applied to a Maglev (Magnetic Levitation) train system plant. The linearization with Taylor Series is demonstrated including the development of the formulas to calculate the parameters of the controllers to three operation points and the performance of each controller is tested under disturbances, and switching controllers between the plants for different operating conditions.

Design of Nonlinear Active Disturbance Rejection Controller Based on the Adaptive Particle Swarm Optimization Algorithm for the Maglev Train Traction Control System

“…The current train speed curve tracking control methods can be roughly divided into the following categories: classical, adaptive, intelligent, and integrated intelligent control methods. Classical control methods are widely used due to their simple structure, for example, the PID control algorithm, fuzzy control algorithm, and sliding mode control algorithm [12][13][14][15][16][17]. Some scholars have also conducted extensive research to optimise controller parameters.…”

Design of Multivariable Controller PI for Propulsion Control System of a Maglev Train EMS

“…The proposed PSO-PID control system has a better performance than SM control strategies, but motor dynamics model as an actuator is not considered. The design of a propulsion and suspension on line controller for a magnetic suspension transportation system is presented [5]. First, a general dynamic model of a Maglev transportation system is presented, and then a sliding mode control strategy (TS) is introduced.…”