PID Control to Maglev Train System

2009 ◽  
Author(s):  
Hengkun Liu ◽  
Xiao Zhang ◽  
Wensen Chang
Keyword(s):  
Pid Control ◽  
Maglev Train ◽  
Train System

PID Control Design for a Maglev Train System

2013 ◽  
Vol 389 ◽  
pp. 425-429 ◽  
Author(s):  
Fernandes Braga Junior Gilson ◽  
Augusto Lima Barreiros José
Keyword(s):  
Taylor Series ◽  
Pid Control ◽  
Magnetic Levitation ◽  
Control Design ◽  
Operating Conditions ◽  
Pole Placement ◽  
Maglev Train ◽  
Proportional Integral ◽  
Train System ◽  
Placement Technique

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.

scholarly journals Robust nonsingular sliding mode control of the maglev train system: case study

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Kammogne Soup Tewa Alain ◽  
Kenmogne Fabien ◽  
Siewe Siewe Martin ◽  
Fotsin Hilaire Bertrand
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Magnetic Suspension ◽  
Added Value ◽  
Vertical Position ◽  
Maglev Train ◽  
Maglev System ◽  
Mode Control ◽  
Train System

AbstractThis paper deals with a new approach to explore the precise dynamic response of the maglev system train and its control. Magnetic-suspension systems are characterized by high nonlinearity and open-loop instability which are the core components of maglev vehicles. Firstly, we use the electromagnetics and mechanics laws to derive the mathematical expressions of the proposed maglev system. Analytical investigation and theoretical calculation show that for the specific values of the control system parameters, the maglev system train can be significantly improved. It points out that the inherent nonlinearity, the inner coupling, misalignments between the sensors and actuators, and external disturbances are the main issues that should be considered for maglev engineering. Secondly, a control strategy based on the precise model of a nonsing ular robust sliding mode control is designed to reduce the upper bound of both the uncertainty and interference of the sliding mode controller. This approach presents an added value compared to the new sliding control methods in terms of overshoot and speed of convergence which is designed to control the vertical position of the proposed system. By using rigorous mathematical transformation associated with the adaptation laws in the frequency domain, a sufficient condition is drawn for the stability of the dynamical error based on the Lyapunov theory. This allows us a great possibility for interpreting the operation of the maglev train system. Numerical results are presented to show the effectiveness of our proposed control scheme.

scholarly journals Research of RBF-PID Control in Maglev System

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1780
Author(s):  
Danrui Ma ◽  
Mengxiao Song ◽  
Peichang Yu ◽  
Jie Li
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Environmental Changes ◽  
Control Method ◽  
Working Environment ◽  
Actual Process ◽  
Control Effect ◽  
Maglev Train ◽  
Rbf Network ◽  
Maglev System

Control of the maglev system is one of the most significant technologies of the maglev train. The common proportion integration differentiation (PID) method, which has fixed control parameters, ignores the non-linearity and uncertainty of the model in the design process. In the actual process, due to environmental changes and interference, the inherent parameters of the system will drift significantly. The traditional PID controller has difficulty meeting the control requirements, and will have poor control effect in the actual working environment. Therefore, a radial basis function (RBF)-PID controller is designed in this article, which can use the information from the levitation system identified by the RBF network to adjust the parameters of the controller in real time. Compared with the traditional PID control method, it is shown that the RBF-PID method can improve the control performance of the system through simulation and experiment.

scholarly journals Maglev train system for United States?

Nature ◽  
1988 ◽  
Vol 331 (6156) ◽  
pp. 474-474
Author(s):  
Carol Ezzell
Keyword(s):  
United States ◽  
Maglev Train ◽  
Train System

Comprehensive Study and Review on Maglev Train System

2014 ◽  
Vol 615 ◽  
pp. 347-351 ◽  
Author(s):  
Raheel Ahmed ◽  
Yu Li Jun ◽  
Muhammad Fawad Azhar ◽  
Naveed Ur Rehman Junejo
Keyword(s):  
Control System ◽  
High Speed ◽  
Electromagnetic Levitation ◽  
Maglev Train ◽  
Guidance Force ◽  
Train System ◽  
Comprehensive Study ◽  
System Mechanism

Electromagnetic levitated systems commonly used in the field of people transportation, tool machines frictionless bearings and conveyor systems. In the case of high speed people transport vehicles, the electromagnetic levitation offers the advantage of a very silent motion and of a reduced maintenance of the rail. Magnetic levitated trains requires the guidance force needed to keep the vehicles on the track is obtained with the levitation electromagnets, Particular shapes of the rails and to a clever placement of the electromagnets with respect to the rails helpful and effective to achieve the goal. This article gives the basic idea of the electromagnets trains and its control system mechanism

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