Modelling EMS Maglev systems to develop control algorithms

Abstract

Electromagnetic suspension (EMS) system for magnetically levitated vehicles can utilize different types of magnets, such as room temperature electromagnets, superconducting magnets as well as permanent magnets. In the course of the study the trichotomy has been applied to the electromagnetic suspension system. The EMS configuration considered in this paper has been treated as a combination of these three types of magnets modelled individually. Results of computations were compared to measurements on a working prototype that provided stable levitation of a platform weighing above 190 kg. A good agreement between the simulated and measured parameters enabled verification of the computational models for separate magnets, selection of efficient control algorithms for a combined EMS system, validation of numerical procedures for payload scaling for practical maglev applications. The combined EMS under study has demonstrated improved power consumption as compared to the conventional EMS. Optimal control algorithms for a combined EMS should factor in various criteria, including rapidity, stability, power consumption, weight, reliability, etc. Different types of magnets can be integrated into a single module to reach the desired performance. Hence, the optimum solution for the EMS design and relevant control algorithms should be searched within a common procedure using detailed computational models.

Parameter optimization of electromagnetic suspension-type maglev train control system based on multi-objective grey wolf non-dominated sorting hybrid algorithm-Ⅱ hybrid algorithm

“…The attraction between the levitation core electromagnet and the ferromagnetic rails is used to maintain the levitation stability so that the carriages can be suspended in the air. [5][6][7] The magnetic levitation control system is the core part of the maglev train, and its dynamic performance determines the comfort and safety of the train system because it is controlled by strong non-linear electromagnetic forces, so the optimization of the performance of the levitation control system is necessary.…”

Bench testing of hybrid ems prototype

“…В процессе работ над системами магнитной левитации в АО «НИИЭФА» была разработана вычислительная технология, которая позволяет разрабатывать детальные модели различных вариантов подвесов, выполнять их анализ, синтез и оптимизацию [12][13][14][15][16][17][18].…”