A novel direct-drive type wind power generation system based on hybrid excitation synchronous machine（HESM）is introduced in this paper.The generator is connected to an uncontrollable rectifier,and a fully controlled...A novel direct-drive type wind power generation system based on hybrid excitation synchronous machine（HESM）is introduced in this paper.The generator is connected to an uncontrollable rectifier,and a fully controlled voltage-sourceinverter is used to connect the system to utility grid.An intermediate DC bus exists between the rectifier and inverter.A new control strategy is proposed which achieves the maximum power point tracking（MPPT） with the control of excitation current of HESM and stabilizes the DC link voltage with the control of inverter output current simultaneously.Specially-designed buck circuit is used to control the excitation current of HESM,and grid voltage-oriented vector control strategy is employed to realize the decoupling of the inverter output power.Simulation results and experiment in 3 kW lab prototype show an excellent static and dynamic performance of the proposed system.展开更多
A new dimmer using a mental-oxide-semiconductor field-effect transistor (MOSFET) for alternating-current (AC) directly driven light-emitting-diode (LED) lamp was presented. The control method of proposed dimmer is pul...A new dimmer using a mental-oxide-semiconductor field-effect transistor (MOSFET) for alternating-current (AC) directly driven light-emitting-diode (LED) lamp was presented. The control method of proposed dimmer is pulse width control (PWM) method. Compared with the conventional phase-controlled dimmer, the proposed PWM dimmer can produce sine wave and did not cause harmonics problem. Furthermore, the proposed control method did not amplify the light flicker due to the independence of input voltage. Therefore, the PWM dimmer can be used as the dimmer of the AC LED lamp instead of the conventional phase-controlled dimmer. The experimental result shows that the proposed PWM dimmer has good performances.展开更多
A new method of switched reluctance wind power generation position sensorless based on DFNN by FEA was proposed, Through current and magnetic linkage to get the angle of SRG rotor position, the nonlinear mapping of cu...A new method of switched reluctance wind power generation position sensorless based on DFNN by FEA was proposed, Through current and magnetic linkage to get the angle of SRG rotor position, the nonlinear mapping of cur- rent-magnetic linkage-angle was built, By training these sample data from FEA, the angle of SRG rotor position was replaced by the output of DFNN to achieve SRG position sensorless. Simulation results show that the error between actual rotor position and estimate rotor position is small; SRG can commutate with great accuracy; and the output voltage of SRG wind power system under variable wind speed is essentially constant.展开更多
锂电池的荷电状态(state of charge,SOC)是电池管理系统的重要参数,但其与电池内部复杂的电化学特性高度关联,无法直接测量。近年来,基于数据驱动的方法在SOC估计领域展现了极大的潜力,然而其对输入数据的精确性有较高要求。磷酸铁锂电...锂电池的荷电状态(state of charge,SOC)是电池管理系统的重要参数,但其与电池内部复杂的电化学特性高度关联,无法直接测量。近年来,基于数据驱动的方法在SOC估计领域展现了极大的潜力,然而其对输入数据的精确性有较高要求。磷酸铁锂电池因存在电压平台问题,其电压波动和噪声会严重影响SOC估计的精度,本文针对这一问题,通过实验和数据驱动结合的方法,引入电池膨胀力作为新的输入维度,融合电池的电化学特性与机械特性,有效补偿了电压平台问题对SOC估计结果的影响。本研究在4种环境温度和2种动态电流测试工况下进行了实验,利用所得数据对神经网络模型进行训练和测试,以评估SOC估计精度并验证本方法的可行性和普适性。此外,本文还提出了一种基于卷积神经网络(convolutional neural network,CNN)和双向长短期记忆网络(bidirectional long short-term memory,Bi-LSTM)的混合模型,兼顾序列数据的局部模式与长期依赖关系,进一步提升SOC估计的可靠性。结果表明,本文提出的方法可以显著提高磷酸铁锂电池SOC估计精度,相比未引入膨胀力信号,均方根误差(root-mean-square error,RMSE)平均下降了43.82%。同时,CNNBiLSTM模型相比其他常规神经网络模型,RMSE最多降低了53.88%。本研究为高精度SOC估计提供了新的思路,对提升电池管理系统的性能具有重要意义。展开更多
R-DSP(Radar Digital Signal Processor)芯片中BSU(Branch Shift Unit)运算部件具有较大的设计规模和复杂度,传统Verilog验证平台难以满足其验证需求问题。针对该问题,文中采用UVM(Universal Verification Methodology)方法对BSU运算部...R-DSP(Radar Digital Signal Processor)芯片中BSU(Branch Shift Unit)运算部件具有较大的设计规模和复杂度,传统Verilog验证平台难以满足其验证需求问题。针对该问题,文中采用UVM(Universal Verification Methodology)方法对BSU运算部件进行功能验证。搭建基于SystemVerilog语言实现的UVM验证平台,使用定向测试和带约束的随机测试进行验证,并采用覆盖率驱动的方法指导测试用例的生成,以充分覆盖BSU运算部件的各个功能和代码路径。经过多轮测试激励验证,代码覆盖率接近100%,完成了对BSU运算部件的功能验证。所提方法为R-DSP芯片中的ALU(Arithmetic Logic Unit)、AGU(Address Generation Unit)、MU(Multiplication Unit)等运算部件的验证工作提供了参考和借鉴。展开更多
基金Project supported by Delta Power Electronic Science and Education Development (Grant No.DRES2007002)
文摘A novel direct-drive type wind power generation system based on hybrid excitation synchronous machine（HESM）is introduced in this paper.The generator is connected to an uncontrollable rectifier,and a fully controlled voltage-sourceinverter is used to connect the system to utility grid.An intermediate DC bus exists between the rectifier and inverter.A new control strategy is proposed which achieves the maximum power point tracking（MPPT） with the control of excitation current of HESM and stabilizes the DC link voltage with the control of inverter output current simultaneously.Specially-designed buck circuit is used to control the excitation current of HESM,and grid voltage-oriented vector control strategy is employed to realize the decoupling of the inverter output power.Simulation results and experiment in 3 kW lab prototype show an excellent static and dynamic performance of the proposed system.
文摘A new dimmer using a mental-oxide-semiconductor field-effect transistor (MOSFET) for alternating-current (AC) directly driven light-emitting-diode (LED) lamp was presented. The control method of proposed dimmer is pulse width control (PWM) method. Compared with the conventional phase-controlled dimmer, the proposed PWM dimmer can produce sine wave and did not cause harmonics problem. Furthermore, the proposed control method did not amplify the light flicker due to the independence of input voltage. Therefore, the PWM dimmer can be used as the dimmer of the AC LED lamp instead of the conventional phase-controlled dimmer. The experimental result shows that the proposed PWM dimmer has good performances.
基金Supported by the National Natural Science Foundation of China （50977080） the Science ＆ Technology Department Project of Hunan Province （2010F J3116） the Education Department Project of Hunan Province （ 10A 114）
文摘A new method of switched reluctance wind power generation position sensorless based on DFNN by FEA was proposed, Through current and magnetic linkage to get the angle of SRG rotor position, the nonlinear mapping of cur- rent-magnetic linkage-angle was built, By training these sample data from FEA, the angle of SRG rotor position was replaced by the output of DFNN to achieve SRG position sensorless. Simulation results show that the error between actual rotor position and estimate rotor position is small; SRG can commutate with great accuracy; and the output voltage of SRG wind power system under variable wind speed is essentially constant.
文摘锂电池的荷电状态(state of charge,SOC)是电池管理系统的重要参数,但其与电池内部复杂的电化学特性高度关联,无法直接测量。近年来,基于数据驱动的方法在SOC估计领域展现了极大的潜力,然而其对输入数据的精确性有较高要求。磷酸铁锂电池因存在电压平台问题,其电压波动和噪声会严重影响SOC估计的精度,本文针对这一问题,通过实验和数据驱动结合的方法,引入电池膨胀力作为新的输入维度,融合电池的电化学特性与机械特性,有效补偿了电压平台问题对SOC估计结果的影响。本研究在4种环境温度和2种动态电流测试工况下进行了实验,利用所得数据对神经网络模型进行训练和测试,以评估SOC估计精度并验证本方法的可行性和普适性。此外,本文还提出了一种基于卷积神经网络(convolutional neural network,CNN)和双向长短期记忆网络(bidirectional long short-term memory,Bi-LSTM)的混合模型,兼顾序列数据的局部模式与长期依赖关系,进一步提升SOC估计的可靠性。结果表明,本文提出的方法可以显著提高磷酸铁锂电池SOC估计精度,相比未引入膨胀力信号,均方根误差(root-mean-square error,RMSE)平均下降了43.82%。同时,CNNBiLSTM模型相比其他常规神经网络模型,RMSE最多降低了53.88%。本研究为高精度SOC估计提供了新的思路,对提升电池管理系统的性能具有重要意义。
