Electrical engineering

Control engineering

Automotive engineering

Maglev

Pure mathematics

Magnetic levitation

Mathematics

Agronomy

Biology

Suspension (topology)

Adaptive control

Engineering

Magnet

Artificial intelligence

Train

Controller (irrigation)

Geography

Control (management)

Computer science

Cartography

Electromagnetic suspension

Fuzzy logic

Homotopy

IEEE Transactions on Industrial Informatics

The maglev rail transit has entered a rapid development stage. In order to prevent potential safety hazards in the operation of maglev train, the related monitoring technology needs to be studied urgently. In this article, in view of the wide application of the Internet of Things (IoT) in intelligent transportation, a new method for realizing suspension control for medium-low-speed maglev trains using the IoT and an adaptive fuzzy controller is proposed. First, a mathematical model of the suspension system of medium-low-speed maglev trains is established. Then, the basic composition of the IoT and the circuit design of the key components of maglev trains are introduced. On this basis, an improved Apriori algorithm is used to extract the stored historical database and establish a trusted database. Then, according to the data of the trusted database, the suspension airgap control law is extracted, and the adaptive fuzzy rules of the maglev train suspension system are determined. An improved adaptive suspension controller is designed. Finally, the effectiveness of the method is verified by experiments utilizing a full-scale maglev train.

Internet of Things-Based Online Condition Monitor and Improved Adaptive Fuzzy Control for a Medium-Low-Speed Maglev Train System