Advance control strategies for Maglev suspension systems
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Advance control strategies for Maglev suspension systems

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Published .
Written in English


Book details:

Edition Notes

Thesis (Ph.D.) - Loughborough University of Technology, 1995.

Statementby Jonathan E. Paddison.
ID Numbers
Open LibraryOL19695356M

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Advance control strategies for Maglev suspension systems Author: Paddison, Jonathan Edward Awarding Body: Loughborough University of Technology Current Institution: Loughborough University Date of Award: Availability of Full Text:Cited by: 3. Maglev suspension system is the core part of maglev train. In the practical application, the load uncertainties, inherent nonlinearity, and misalignment between sensors and actuators are the main issues that should be solved carefully. In order to design a suitable controller, the attention is paid to the fractional order by: 5. Abstract. The control and diagnosis system of Maglev train includes onboard control system and diagnosis system [1–3]. The train control system is mainly used to obtain the status signals to monitor and control the onboard equipment, which includes two major functions [4, 5]. The first function is to process the status signals produced by the onboard equipment and then transmit them to the onboard control : Zhigang Liu, Zhiqiang Long, Xiaolong Li. control components and hence the vehicle weight. A nominal air gap of 40 mm between the magnet faces and guideway iron rails is proposed. This is considered a wide gap for an EMS system, and as such, a softer suspension is possible eliminating the need for a passive secondary suspension. The model components of the maglev vehicle/guideway sys­File Size: KB.

1. To obtain a good model for the maglev system, model manufactured by Feedback Limited In. 2. To implement a microcontroller-based digital controller that stabilizes a gram steel ball and tracks reference input signals applied to the maglev. 2. SYSTEM DESCRIPTION The control system consists of three inputs and one output. The inputs File Size: KB. magnetic suspension systems, vehicle stability, and suspension control laws for maglev/guideway coupling systems were discussed. Zheng et al. [19,20] presented two kinds of vehicle/guideway coupling models with controllable magnetic suspension systems to investigate the vibration behavior of a maglev vehicle running on a flexible Size: KB. The effectiveness of the proposed PSO-PID control scheme for the maglev transportation system is verified by numerical simulations and experimental results, and its superiority is indicated in. CONTROL AND OPTIMIZATION OF THE ELECTROMAGNETIC SUSPENSION OPERATION OF A MAGLEV VEHICLE Jos´e Jaime da Cruz, Anselmo Bittar, Eduardo Alves da Costa and Roberto Moura Sales. Telecommunications and Control Engineering Department, University of Sao Paulo. Av. Prof. Luciano Gualberto, trav.3, n. , CEP , S.P., BRAZIL.

The control problem for the networked suspension control system of maglev train with random induced time delay and packet dropouts is investigated. First, Takagi-Sugeno (T-S) fuzzy models are utilized to represent the discrete-time nonlinear networked suspension control system, and the parameters uncertainties of the nonlinear model have also been taken into by: 2. e maglev train, as a typical nonlinear system, is an ideal model for fractional order controller design. is essay paid attention to discussing the usage of fractional order control theory and application of the controller on solving the system inherent nonlinearity and parameters uncertain problems of the suspension system. e rest of the. capability of the levitation control system and also becomes a serious obstacle to the performance promotion. To some extent, the adjustment of one levitation unit may destabilize efore,itisessential to develop some decoupling control strategy for the module suspension control system. This paper proposes a new structure of module suspension system of Electromagnetic System (EMS) maglev train, and presents an active fault-tolerant control method via control law reconfiguration. Being different with conventional module suspension system, the new structure has four controllers which increase the redundancy degree of the system.