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Performance Evaluation of a Permanent Magnet Electric-Drive- Reconfigured Onboard Charger with Active Power Factor Correction

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CES Transactions on Electrical Machines and Systems 2019年第1期3卷 72-80页

作者： Feng Yu Zhihao Zhu Jingfeng Mao juping gu the School of Electrical Engineering Nantong UniversityNantong 226019China

This paper presents a comprehensive charging operation for an electric-drive-reconfigured onboard charger(EDROC)with active power factor correction(APFC).The charging topology exclusively utilizes the three-phase permanent magnet synchronous motor(PMSM)propulsion system as a three-channel boost-type converter in which only a contactor and a small diode bridge are ***,the operation scenario of the EDROC is ***,the relationship between electromagnetic torque and rotor position is ***,the current ripple cancellation of the EDROC is discussed in ***,to implement the single-phase APFC along with charging voltage/current regulation of propulsion battery,control strategies including current balancing and synchronous/interleaving PWM strategies are ***,200W proof-of-concept prototype-based tests are conducted under different operation scenarios.

关键词： Active power factor correction current balancing electric-drive-reconfigured electromagnetic torque interleaving onboard charger.

Parameter identification of fractional order CARMA models

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Parameter identification of fractional order CARMA models

第32届中国过程控制会议(CPCC2021)

作者： Jiali Rui Junhong Li juping gu School of Electrical Engineering Nantong University

In this paper,the parameter identification of fractional order system under colored noise is *** fractional order CARMA model is obtained by using the Grnwald-Letnikov *** order to identify the unknown parameters of this model,a least squares based iterative identification algorithm and a recursive extended least squares algorithm are proposed from the perspective of fractional *** simulation results prove that these two methods are effective for fractional order parameter identification.

关键词： Fractional order model Parameter estimation System identification Least squares Colored noise

地方高校工科专业实践教学协同创新的价值与机理

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中国高教研究 2015年第10期 87-90页

作者：顾菊平南通大学电气工程学院中国电工学会电气工程教育委员会副理事长江苏南通226019

地方高校工科专业实践教学的协同创新有助于消除现今实践教学存在滞后性、简单性和表层性的弊端。实践教学的协同要素主要包含政府的政策导向、企业支撑和高校的系统培养;其价值在于能够培养集高大上与接地气于一体、集专业理论素养与... 详细信息

地方高校工科专业实践教学的协同创新有助于消除现今实践教学存在滞后性、简单性和表层性的弊端。实践教学的协同要素主要包含政府的政策导向、企业支撑和高校的系统培养;其价值在于能够培养集高大上与接地气于一体、集专业理论素养与工程实践能力于一体、集理论继承与实践创新于一体的高素质工科人才;其集中体现为政府、企业和地方高校目标协同、政策互补、实践教学范式创新的机理;要素协同、资源互补、工程能力培养创新的机理;路径协同、优势互补、人才培养创新的机理。

关键词：实践教学工科专业人才培养协同创新

3D Medical Image Registration Based on Clifford Relative Geometry Feature Invariant

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3D Medical Image Registration Based on Clifford Relative Geo...

第32届中国过程控制会议(CPCC2021)

作者： Zhou Bojun gu juping CHENG Tianyu HUA Liang School of Electrical Engineering Nantong University School of Automation Nanjing University of Science and Technology

A region of interest(ROI) is delineated based on the registration by using the geometric features of skull contour,and a new construction method of relative invariants put forward under the framework of Clifford *** method proposed regards the contour data of ROI in the skull as the point cloud for registration,and constructs the mathematical and calculation models of the relative geometric invariants according to the similarity of skull *** calculating the translation and the rotation operator required for the registration algorithm,the registration of threedimensional data can be preceded directly by adopting the new similarity measure of the 3 D medical *** registration data are from the BrainWeb database and "Retrospective image registration evaluation" project data of the University of Vanderbilt in the United *** show that our algorithm has high efficiency in the registration of ROI in the *** it can calculate the 3 D position of the tissue organ more *** mean error is within 2-4 mm,and the registration accuracy is up to sub-pixel level.

关键词： medical image registration Clifford algebra relative invariant region of interest

Hierarchical maximum likelihood stochastic gradient identification algorithm for feedback nonlinear systems using the data filtering technique

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Hierarchical maximum likelihood stochastic gradient identifi...

第37届中国控制会议

作者： Junhong Li Xiao Li juping gu Yi Yang School of Electrical Engineering Nantong University

This paper considers the parameter identification of feedback nonlinear systems with colored noise. The difficulty of the identification is that it need to estimate the parameters of the forward path subsystem and the feedback *** to the data filtering technique and the hierarchical identification principle, a hierarchical maximum likelihood forgetting factor stochastic gradient identification algorithm based on the filtered model is presented for the discussed feedback nonlinear systems. The simulation results show the effective of the proposed algorithm.

关键词： Hierarchical identification Data filtering Maximum likelihood Stochastic gradient Parameter identification

Vehicle Recognition Method Based on Color Invariant SIFT Features

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Vehicle Recognition Method Based on Color Invariant SIFT Fea...

第37届中国控制会议

作者： Yiming Xu Juan Zhang Chengcheng Liu juping gu Liang Hua School of Electrical Engineering Nantong University

Both aiming at the problems of the color information lack for SIFT features and the interference of color on vehicle identification,a vehicle identification method based on color invariant SIFT features is ***,the color edge regions of the images are calculated by using the RGB information,and the SIFT color invariant feature description vectors are generated in conjunction with the gray *** ensuring the integrity of the vehicle color features,the method can effectively suppress the false matching caused by the redundant feature *** the nearest neighbor matching method is used to find the matching pairs,and the vehicle identification is finished by the discrimination degree weighting *** the vehicle matching experiment with the same type and different colors,the matching number of the algorithm is less affected by the change of the color,and the stability of image matching is *** vehicle recognition experiment based on 25 kinds of vehicle model database shows that the method can eliminate the interference of the color features on the vehicle identification,and the total recognition accuracy of the method is improved to 88.2%-92.2%.

关键词： Color Invariant Features Scale-invariant Feature Transform Vehicle Recognition Color Edge Detection Discrimination Degree Weighting

Parameter estimation of Hammerstein systems based on the gravitational search algorithm

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Parameter estimation of Hammerstein systems based on the gra...

第32届中国控制与决策会议

作者： Shanling Xu Junhong Li juping gu Liang Hua Liangliang Shang School of Electrical Engineering Nantong University

The Hammerstein nonlinear system is composed of a static nonlinear subsystem followed by a linear subsystem,and widely exists in chemical,thermal and other process ***,it is significant to obtain parameter estimates of Hammerstein *** paper considers the identification problem of the Hammerstein finite impulse response moving average（FIR-MA） system using the gravitational search algorithm and the iterative identification technique.A particle swarm iterative identification algorithm is also proposed for *** simulation results show that the proposed algorithms can effectively estimate the parameters of the Hammerstein FIR-MA system and the gravitational search algorithm behaves better than the particle swarm optimization approach in accuracy.

关键词： Hammerstein systems parameter estimation gravitational search algorithm

Medical image registration based on Clifford algebra and three-dimensional SURF

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Medical image registration based on Clifford algebra and thr...

第32届中国过程控制会议(CPCC2021)

作者： Cheng Tianyu gu juping Hua Liang Zhou Bojun Zhao Fengshen Zhao Jiahao School of Automation Nanjing University of Science and Technology School of Electrical Engineering Nantong University

Multimodal medical image registration can provide doctors with more abundant focus information of patients,but there is a contradiction between registration accuracy and efficiency in clinical *** this paper,a 3 D SURF framework based on Hessian four-dimensional scale space is built,a feature descriptor based on geometric algebraic relative angle invariants is designed,which is more suitable for 3 D images,and a fast spatial optimization(GA-FSO) algorithm based on this descriptor is *** method achieves high precision registration and compensates the lack of immediacy in clinical ***,the registration experiment is carried out based on the brain multimodal images provided by RIRE open database,and the mean error is less than 3 mm,which verifies the effectiveness of this registration scheme and satisfies demand of clinical online *** the contrastive experiments for registration are carried out with clinical case data to verify the clinical practicability of the registration *** study provides theoretical basis and technical support for the clinical application of three-dimensional multimodal medical image registration.

关键词： medical image registration geometric algebra SURF algorithm feature descriptor fast space optimization

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用于风功率波动平抑的储能运行策略对比分析

高电压技术 2019年第9期45卷 2797-2805页

作者：张新松袁越郑源顾菊平河海大学能源与电气学院南京210098 南通大学电气工程学院南通226019

从波动平抑效果与平抑成本两个角度,对3种用于风功率波动平抑的电池储能系统(BESS)运行策略进行了对比分析。3种运行策略分别为:BESS统一运行、充放电状态随机切换;BESS分组运行、充放电状态同步切换与BESS分组运行、充放电状态异步切... 详细信息

从波动平抑效果与平抑成本两个角度,对3种用于风功率波动平抑的电池储能系统(BESS)运行策略进行了对比分析。3种运行策略分别为:BESS统一运行、充放电状态随机切换;BESS分组运行、充放电状态同步切换与BESS分组运行、充放电状态异步切换。在考虑风功率预测误差随机特性的基础上,采用序贯蒙特卡洛模拟技术对上述3种策略下的BESS运行进行了模拟。基于模拟结果,在对波动平抑效果进行评估的同时,依据BESS总投资成本和电池循环寿命损耗对波动平抑成本进行估算。对比分析表明:BESS分组运行、充放电状态异步切换策略可实现波动平抑效果与平抑成本间的有效折衷,显著优于其它策略。

关键词：电池储能系统风功率波动平抑波动平抑成本运行策略对比分析