A5101853061- Magnetic Bearings and Levitation Dynamics
- Electric Motor Design and Analysis
- Railway Systems and Energy Efficiency
- Multilevel Inverters and Converters
- Electrical Contact Performance and Analysis
- Sensorless Control of Electric Motors
- Magnetic Properties and Applications
- Railway Engineering and Dynamics
- Physics of Superconductivity and Magnetism
- Advanced DC-DC Converters
- Tribology and Lubrication Engineering
- Frequency Control in Power Systems
- Superconducting Materials and Applications
- Electromagnetic Launch and Propulsion Technology
- Silicon Carbide Semiconductor Technologies
- Aerodynamics and Fluid Dynamics Research
- HVDC Systems and Fault Protection
- Metaheuristic Optimization Algorithms Research
- Microgrid Control and Optimization
- Fluid Dynamics and Vibration Analysis
- Superconductivity in MgB2 and Alloys
- Privacy, Security, and Data Protection
- Civil and Geotechnical Engineering Research
- Maritime Transport Emissions and Efficiency
- Electrical Fault Detection and Protection
Tongji University
2018-2025
Xi'an Jiaotong University
2024
Yango University
2020
Nanyang Institute of Technology
2019
Southwest Jiaotong University
1999
When the electromagnetic suspension (EMS) type maglev vehicle is traveling over a track, airgap must be maintained between electromagnet and track to prevent contact with that track. Because of open-loop instability EMS system, current actively controlled maintain target airgap. However, system suffers from strong nonlinearity, force saturation, flexibility, feedback signals network time-delay, hence making controller design even more difficult. In this article, minimum levitation unit has...
The vertical security problem of maglev train is challenging for nonlinearity, external disturbances, unmeasurable airgap velocity and constrained output. To solve this problem, a semi-supervised controller based on deep belief network (DBN) algorithm proposed in the presence unknown disturbances. Firstly, extended state observer (ESO) designed to ensure fast convergence observation errors with high enough estimation precision. An output-constrained by backstepping method, estimated value...
The maglev rail transit has entered a rapid development stage. In order to prevent potential safety hazards in the operation of train, related monitoring technology needs be studied urgently. this article, view wide application Internet Things (IoT) intelligent transportation, new method for realizing suspension control medium-low-speed trains using IoT and an adaptive fuzzy controller is proposed. First, mathematical model system established. Then, basic composition circuit design key...
As new advanced vehicles, electromagnetic suspension (EMS)-type maglev trains have received wide attention because of their advantages such as high speed, no mechanical friction, low noise, cost and energy consumption, strong climbing ability, green environmental protection. The open-loop instability is one the key points difficulties for levitation control systems trains. closed-loop feedback method must be applied to realize stable levitation. However, there are currently many methods just...
The most distinctive feature of synchronous reluctance motor (SynRM) is self- and cross-saturation, which results in a lack physically consistent guidelines for an accurate analytical model with current as independent variable. In this paper, reciprocity magnetic (RMM) proposed to describe the nonlinear behaviors SynRM. model, physical constraints are obtained by analysis excitation level self-axis energy conservation relationship between orthogonal windings. Then, based on irrotationality...
In order to ensure the suspension stability of maglev train, active control problems static and dynamic are studied. First, mathematical model characteristics medium- low-speed train is established. Second, PID controller The results show that very sensitive time-varying disturbances such as nonuniformity load, which leads decrease in system robustness. suppress disturbance effectively, a method based on sliding mode reaching law proposed. Based bifurcation phenomenon, point solved determine...
Since the high-speed maglev line in Shanghai was put into operation 2003, it has been running safely for 15 years, maintaining highest speed of public ground traffic 430 km/h and 99.8~99.9% punctuality. 2001, China ministry science technology (MOST) supporting research development high transportation technology. In 2016, under support MOST, Railway Rolling stock Corporation (CRRC) started to lead program engineering Maglev. The aim is develop 600 Maglev system 200 medium system. newly...
The suspension system of maglev train has intrinsic nonlinear characteristics. identification processing ability terms and the control accuracy algorithm have an important influence on stability train. Especially when track stiffness is weak, it easier to affect under action small deformation, resulting in phenomenon point dropping/rail smashing. Starting from dynamic modelling system, this paper focuses parameter design algorithm. Based Hopfield neural network, error function network scheme...
Maglev vehicles have become a new type of transportation system with higher speed, lower noise, and commercial appeal. Magnetic-suspension systems, which high nonlinearity open-loop instability, are the core components maglev vehicles. The high-performance control has been focus numerous studies. Encountering challenges in levitation form uncertain time delays disturbances is unavoidable. To cope these problems, this study presents design an adaptive robust controller based on Riccati method...
High T/sub c/ superconductors are highly attractive because they can operate at liquid nitrogen temperature. The high performance of bulk is exciting to people in the application research work on superconducting magnetic levitation (Maglev) vehicle. Maglev concept using has been demonstrated by Beijing Small Model. In this paper, schemes relating use YBaCuO materials for vehicle discussed. First, arranged above rail NdFeB permanent magnets. second scheme electromagnetic suspension (EMS)...
Affected by the magnetic saturation effect and unmodeled dynamics, parameters of synchronous reluctance motor (SynRM) are highly nonlinear time-varying. The resulting unreasonable current loop reference command severely restricts maximum efficiency high control performance SynRM. Therefore, an adaptive non-singular terminal sliding mode scheme for SynRM drive system is proposed to improve dynamic robustness. Firstly, analytical model flux linkage inductance that satisfies energy conversion...
A data-driven switching frequency control method based on finite-control-set model-predictive (FCS-MPC) for single-phase three-level neutral-point-clamped rectifiers is proposed to achieve the accurate of frequency. Taking weighting factor as input and average within a fixed sliding window time output, compact-form dynamic linearization used establish an equivalent linearized data model at each operating point closed-loop system. Based this model, controller designed Simulation experimental...
In this article, open-switch fault diagnosis and tolerance are proposed for induction machine (IM) drives with predictive torque control (PTC) or flux (PFC). Different from the conventional methods finite set model (FCS-MPC), which based on current, method is error. As a result, can be extended to IM drive systems PTC PFC. It detects by computing accumulating error between predicted last sampling interval estimated at current interval. Then, polarity of accumulated residual utilized localize...
In this paper, a novel concept of nonlinear controller design is proposed, which applicable to systems subject external periodic disturbances. At first, by employing pioneering coordinate transformation, new system model with expected dynamic characteristics derived. Then, corresponding linear achieved means linearization techniques at equilibrium points. Next, based on the results classical control theory, quadratic regulator applied resulted system. Finally, can be obtained through inverse...
During recent years, maglev transportation has made great progress, and as a result, many intelligent levitation control algorithms have emerged. However, enterprises often find it difficult to make choice when faced with the selection of controller. The main reason is that performance evaluation complex, multiple-criteria, multifactor coupling problem cannot be represented by precise mathematic model. In this paper, novel artificial method for controller developed based on 3-grade fuzzy...
The speed profile tracking calculation of high-speed maglev trains is mainly affected by running resistance. In order to reduce the adverse effects and improve accuracy, this paper presents a train operation control method based on fractional-order sliding mode adaptive diagonal recurrent neural network (FSMA-DRNN). First, kinematic resistance equation established due three types that occur during actual train: air resistance, guide eddy current suspension frame generator coil Then,...
The suspension system of the Electromagnetic Suspension (EMS) maglev train is crucial for ensuring safe operation. This article focuses on data-driven modeling and control optimization system. By Extended Dynamic Mode Decomposition (EDMD) method based Koopman theory, state input data are collected to construct a high-dimensional linearized model without detailed parameters system, preserving nonlinear characteristics. With model, LQR controller State Observer (ESO) applied optimize control....
When two maglev trains travel in opposite directions on adjacent tracks, train crossing is inevitable. Especially when both run at full speed, the pressure wave formed by each other will have a significant impact structure of vehicle. Therefore, it important to understand distribution body surface during mitigate wave. In this work, numerical simulation techniques are employed reveal nature crossing. Firstly, aerodynamic load calculation model and established, based turbulence flow field...