Haotian Xie

Quanzhou Institute of Equipment Manufacturing Haixi Institute

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Fengxiang Wang

Quanzhou Institute of Equipment Manufacturing Haixi Institute

Ralph Kennel

Technical University of Munich

José Rodríguez

San Sebastián University

Yingjie He

Technical University of Munich

Ying Tang

Technical University of Munich

Dongliang Ke

Quanzhou Institute of Equipment Manufacturing Haixi Institute

Yao Wei

Quanzhou Institute of Equipment Manufacturing Haixi Institute

Lei Liu

Technical University of Munich

Zhenbin Zhang

Shandong University

Marcelo Lobo Heldwein

Technical University of Munich

Cooperative Institutions

Chinese Academy of Sciences

Technical University of Munich

Anhui University of Science and Technology

Quanzhou Institute of Equipment Manufacturing Haixi Institute

Nanjing University of Aeronautics and Astronautics

Hefei University of Technology

Huazhong University of Science and Technology

Shandong University

Tongji University

Harbin Institute of Technology

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Direct Predictive Voltage Control for Grid-Connected Permanent Magnet Synchronous Generator System

IEEE Transactions on Industrial Electronics (2022)

Yingjie He Ying Tang Xiaonan Gao Haotian Xie Fengxiang Wang

In this article, a direct predictive voltage control (DPVC) is proposed for the grid-connected permanent magnet synchronous generator system. In the proposed strategy, the dc-link voltage regulation and power regulation terms are merged into one cost function, thereby eliminating the conventional cascade control structure. The strategy selects the voltage vector that not only will generate a dc-link voltage closer to the setpoint at instant

$k+2$

, but will generate an active power that can further reduce that voltage error for the future instant. To cope with the mismatch between the actual and nominal parameters, the Kalman filter has been added to compensate for the steady-state error. Besides, to enhance the dynamic performance and to save the effort of parameter tuning, the weighting factor is further eliminated from the cost function by sorting the terms into two groups and independently evaluating each group in turn. To fully validate the effectiveness of the proposed strategy, the experimental test waveforms of the DPVC strategy with and without weighting factor have been presented and compared with that of the conventional PI-MPC strategy in various testing conditions.

Set point

Model Predictive Control

10.1109/tie.2022.3227277

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Citations (5)

Experimental study on energy and failure characteristics of rubber-cement composite short-column under cyclic loading

Case Studies in Construction Materials (2022)

Ying Xu Rongzhou Yang Peiyuan Chen Jinjin Ge Jiaxing Liu

The recycling of waste tire rubber resources and its application in the field of civil engineering materials have the importance of the economy, environmental protection, and promoting the development of civil engineering materials. In this work, rubber cement mortar short-column was used as the research object, and the cyclic loading-unloading tests with finite cycles were carried out under three different loading modes (I, II, and III). A series of basic characteristics of rubber cement mortar under three different cyclic loading-unloading modes were further discussed and analysed, such as energy, deformation, damping ratio, failure mode mechanism, and crack development mechanism. The results showed that when the rubber content was 30%, the energy damage was reduced by 13.7 ~ 45.7%, and the cumulative damping ratio was increased by 57.0%. The evolution characteristics of the hysteresis loops in the loading-unloading curves in the form of "non-closed crescent" were explained. The development mechanism of cracks based on the principle of minimum energy was revealed, and the evolution characteristics of cracks were confirmed. The crack resistance effect of rubber cement mortar was explained by the property of damping energy dissipation of rubber particles. The purpose is to better apply rubber-cement composites to seismic structures, underground structures, and road engineering.

10.1016/j.cscm.2022.e00885

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Thermal analysis of bonded-in anchor in steel-to-concrete connection exposed to fire

CRC Press eBooks (2013)

Haotian Xie

A serial of numerical simulation by the software ABAQUS has been carried out to investigate the thermal response of boned-in anchor at elevated temperatures. The 3D model of steel-to-concrete connection with fire resisting coating is employed in this research and the development of temperature is supposed to follow the ISO834 standard time-temperature curve. Several variables including thickness of fire resisting coating, edge distance and embedment depth have been considered. The result shows that ambient temperatures have great impact on the thermal field of the whole connection and the temperature of adhesive anchor would reach above 160°C after a fire rating of 90 minutes even in the case of fire protection method has been used on the connection surface. Based on the comparison of parametric analysis, some advices are given for the fire-resistance design of bonded-in anchor.

10.1201/b14896-12

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PMSM駆動のためのSiCとSiデバイスの比較【Powered by NICT】

IEEE Conference Proceedings (2016)

Haihong Qin Haotian Xie Zhu Ziyue Xin Nie Xu Huajuan

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Parallel Predictive Torque Control for Induction Machines Without Weighting Factors

IEEE Transactions on Power Electronics (2019)

Fengxiang Wang Haotian Xie Qing Chen S. Alireza Davari José Rodríguez

Finite control set model predictive control (FCS-MPC) calculates torque and flux tracking errors via a cost function that is used for selecting the optimal vector. Compared with field oriented control, FCS-MPC has the merit of a faster dynamic performance because it eliminates both pulsewidth modulation and inner proportion-integration controllers. However, the weighting factor for modifying torque and flux terms must be tuned in accordance with varying operating conditions; this is an area in which further research is needed. In this paper, a parallel predictive torque control (PPTC) with predefined constraints is proposed as a solution for this problem. The PPTC method optimizes torque and flux terms simultaneously, and switching-state candidates are then selected in an adaptive mechanism. The key feature is that torque and flux tracking errors are constrained within the initial boundaries. The proposed PPTC is compared with the state-of-the-art predictive torque control (PTC) method. Both simulation and experimental results confirm that the proposed method, which has no weighting factor, achieves an even better dynamic performance and robustness than the conventional PTC.

Model Predictive Control

Robustness

10.1109/tpel.2019.2922312

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Citations (158)

Cooperative Decision-Making Approach for Multiobjective Finite Control Set Model Predictive Control Without Weighting Parameters

IEEE Transactions on Industrial Electronics (2023)

Haotian Xie Mateja Novak Fengxiang Wang Tomislav Dragičević José Rodríguez

Finite control set model predictive control (FCS-MPC) has gained increasing popularity as an emerging control strategy for electrical drive systems. However, it is still a challenging task to optimize weighting parameters, as multiple objectives are involved in the customized cost function. A cooperative decision-making approach for FCS-MPC is proposed in this article, to solve the optimization problems with manifold control objectives. By splitting the cost function, the optimization problem underlying multiobjective FCS-MPC is separated into a series of decomposed optimization problems. By doing so, the dimension of the decomposed problem is reduced to one. To collect the information for decision-making, an efficient sorting algorithm is applied for each control objective. The theory behind the cooperative decision-making approach is comprehensively analyzed, to validate both the effectiveness and efficiency of the proposed scheme. More specifically, the highlight is the adaptive mechanism on the number of desired candidates, to obtain a decent performance for torque and flux. The candidate that minimizes the switching frequency is selected as the optimal. The proposed scheme is experimentally verified and compared with the existing FCS-MPC without weighting parameters.

Model Predictive Control

10.1109/tie.2023.3283689

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Citations (10)

Affine Ultra-Local Based Model-Free Predictive Control on PMSM Drives with $\varepsilon$-Approximation State Compensation

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024)

Yao Wei Weiyuan Ma Haotian Xie Dongliang Ke Fengxiang Wang

Model Predictive Control

10.1109/ddcls61622.2024.10606605

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A Drive Topology for High-Speed SRM With Bidirectional Energy Flow and Fast Demagnetization Voltage

IEEE Transactions on Industrial Electronics (2020)

Ying Tang Yingjie He Fengxiang Wang Haotian Xie José Rodríguez

A drive topology composed of a T-type single-phase three-level voltage source rectifier (VSR) and a four-level switched reluctance motor (SRM) converter is proposed in this article. The commonly used diode bridge rectifier presenting degraded power quality is replaced by the VSR to drive the SRM converter. Compared with the conventional split-dc converter, the four-level SRM converter of the proposed drive topology adopts one more switch and one more diode for each phase, but two more operation modes are formed. With the double-voltage demagnetization mode of the four-level SRM converter, the tailing time of demagnetization current is significantly reduced, which increases the utilization of inductance increasing region. All the operation modes of this converter can be implemented successfully, even in the multiphase excitation region. Moreover, a centralized control strategy is proposed to regulate the VSR and SRM together, within which the speed and grid-side power factor are regulated by the d -axis and q -axis component of grid-side current in VSR, respectively. Most importantly, the bidirectional energy flow is realized. An idea-proofed testbench is constructed. The results obtained from the comparative experiments confirm the validity of the proposed drive topology and its control strategy.

Rectifier (neural networks)

10.1109/tie.2020.3022497

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Citations (13)

Challenges of SiC devices adopted in LCC resonant converters for high voltage X-ray generator applications

2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE) (2024)

Fanghua Zhang Chunying Gong Haihong Qin Haotian Xie

High Voltage

10.1109/ceepe62022.2024.10586427

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Predictive Field Oriented Control based on MRAS Current Estimator for IM Drives

Haotian Xie Fengxiang Wang Wei Zhang Cristian García José Rodríguez

In this paper, a new Predictive Field Oriented Control (PFOC) strategy is presented for the alternating current machine drive. The key feature of the PFOC method is that it has no pulse width modulation (PWM) process and an optimized inner current controller. This scheme adopts an inner current loop with cost function and an outer speed loop for torque tracking. In the proposed PFOC method, we design an optimized inner current controller that the stator current components in stationary frame are compared with their reference values, and then the tracking errors are optimized in a sequential order. Therefore, the optimized controller has no tuning parameters to modify the two orthogonal objective terms in the cost function. Moreover, a MRAS current estimator is designed to realize high accuracy speed and current estimations. It is confirmed by experimental results that the proposed MRAS current estimator based PFOC achieves lower speed tracking error, as well as improved steady-state and dynamic performance.

MRAS

Current loop

10.1109/ipemc-ecceasia48364.2020.9367976

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Citations (4)