Papers by Author: Hua Xue

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Authors: Hua Xue, Hai Xia Li, Yu Fei Wang
Abstract: Analysis strategies of nonlinear electromagnetic interference have always been a focus in the literature. This paper designs a identification of scattering pattern by using a improved least squares method (LLM) combined with method of moment for mutual coupling among inner elements and interactions with outside scatterers. The novel LLM is applied to optimize the radiation pattern of arbitrary arrays in the operational environment as well as represses the array gain and phase tracking error caused by electromagnetic compatibility based constraints. The algorithm has a simple control structure and enhances the robustness of the electrical system, and the experimental results based on dSPACE testify its reasonability and validity.
Authors: Hua Xue, Yu Fei Wang
Abstract: A new method of fuzzy multiple reference models adaptive control(FMRMAC) for dealing with significant and unpredictable system parameter variations is presented. In this method, different suitable reference model is chosen by fuzzy rules when changes occurred to the model parameters. A successful application to the speed servo system of dynamic model of induction motor (IM) shows this method works well with high dynamic performance under the condition of command speed change and load torque disturbance.
Authors: Yu Fei Wang, Jian Yun Zhang, Hua Xue
Abstract: A chaotic circuit was designed to simulate the chaotic phenomenon observed in power supply system of electric arc furnace (EAF). Based on volt-ampere characteristic of the negative resistance converter (NRC) composed of the integrated operational amplifier (IOA), two NRCs with different parameters are connected in parallel in this circuit. The positive and negative power supply sources of the IOA are unequal in voltage amplitude. Experimental results show that the circuit has characteristics of general Chuas circuits and can generate an asymmetric double-scroll chaotic attractor, which helps establish the foundation for chaotic model of AC arc furnace used to study power quality.
Authors: Wen Jun Wu, Hua Xue
Abstract: Due to its great potential value in theory and application, nonlinear control strategies of doubly fed induction generator (DFIG), especially passivity-based control (PBC) methods, have been a focus in the literature. A PBC strategy for DFIG with time-varying load torque to track flux and speed trajectories is proposed in this paper. The key point of this method is the identification of terms, known as workless forces, which appear in the dynamic equations of DFIG but have no effect on the energy balance equation of the closed loop. The speed of DFIG is estimated via an ANN estimator avoiding the use of mechanical sensors. PBC combined with ANN speed estimator not only reserves the advantages of PBC such as nonexistence of singularity, but also rejects the flux and speed tracking error caused by stator and rotor resistance variation. This algorithm simplifies the control structure and enhances the robustness of the control system. The feasibility and effectiveness is testified by the experimental results based on dSPACE.
Authors: Fan Yang, Hua Xue, Hao Li
Abstract: Molten carbonate fuel cell/ gas turbine hybrid power system (MCFC/GT) output power should real-time response the demand of load. The auto-tuning ZieglerNichols tuned PI controller (AZNPIC) as a feedback controller for power corrective action is added to the hybrid power system. The optimal setpoints and feed forward control inputs of the controller are given by Multi-output Support Vector Machine Regression (MSVR) predictor for the hybrid system. Simulation results show that the power of hybrid system can be effectively close to the desired setpoints based on the control method.
Authors: Fan Yang, Hao Li, Yu Fei Wang, Hua Xue
Abstract: To a molten carbonate fuel cell/ gas turbine hybrid system, operating temperature which has significant influence on the performance and lifespan of system is researched. The decoupling control of multivariable system is proposed in the temperature control of a hybrid system. In the designing of decoupling controller, the intelligent decoupling method is used based on Quasi-Diagonal Recurrent Neural Network-PID. Simulation results show that the operating temperature of hybrid system can be effectively close to the desired setpoints based on the decoupling controller.
Authors: Fan Yang, Hua Xue, Yu Fei Wang
Abstract: Supercapacitors have characteristics of high power density, long life, and quick charging and discharging. DC-DC converter can be used for changing, processing and regulating the power. Supercapacitors energy storage system consisted of supercapacitors and DC-DC converter can be widely used in distributed power generation system to the stability of dc bus voltage and the improvement of the power quality. For simulation, the mathematical models of DC-DC converters and supercapacitors are developed using MATLAB/SIMULINK. The sliding mode controller of the supercapacitors energy storage is presented, and the simulation results verify the control method is feasible.
Authors: Yu Fei Wang, Dong Zhao, Xing Xu, Hua Xue
Abstract: As an indispensable part of renewable energy power generation system, energy storage to a large extent, has resolved randomness and fluctuation of photovoltaic power generation and enabled its smooth output. Firstly, a method of energy management by means of LabVIEW was proposed. Based on its advantages on data collection and convenience of hardware integration application, this software was used to conduct real-time surveillance and control of such parameters as charge-discharge current and DC line voltage. Then, five operating mode were raised on the basis of generating capacity of photovoltaic cell and surplus capacity of energy storage battery , insure quick response and high-efficiency operation of the system. Finally, the effectiveness of energy management proposed method was verified on the built experimental platform.
Authors: Hua Xue, Yue Fan
Abstract: When using a remote networked control system, a network-induced time-delay is generated, which causes advert effects on the closed-loop networked control system such as performance degradation and system destabilization. For solving the time-delay in remote control system, intelligent fuzzy logic compensator is introduced in this paper to improve the traditional networked PI control system. In the full adaptive fuzzy parameter adjustment, off-line optimization and on-line adaptation are applied to the design of the controller, So that the consequent parameters can be tuned adaptively, As well as the membership functions in the antecedent part Simulation results of a networked controlled Brushless DC motor is used to illustrate the effectiveness and feasibility of the proposed fuzzy PI control scheme.
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