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Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems——An Overview 被引量:10
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作者 Teng Li Xiaodong Sun +3 位作者 Gang Lei zebin yang Youguang Guo Jianguo Zhu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第12期2087-2105,共19页
Permanent magnet synchronous motors(PMSMs)have been widely employed in the industry. Finite-control-set model predictive control(FCS-MPC), as an advanced control scheme, has been developed and applied to improve the p... Permanent magnet synchronous motors(PMSMs)have been widely employed in the industry. Finite-control-set model predictive control(FCS-MPC), as an advanced control scheme, has been developed and applied to improve the performance and efficiency of the holistic PMSM drive systems. Based on the three elements of model predictive control, this paper provides an overview of the superiority of the FCS-MPC control scheme and its shortcomings in current applications. The problems of parameter mismatch, computational burden, and unfixed switching frequency are summarized. Moreover, other performance improvement schemes, such as the multi-vector application strategy, delay compensation scheme, and weight factor adjustment, are reviewed. Finally, future trends in this field is discussed, and several promising research topics are highlighted. 展开更多
关键词 Computational burden finite control set(FCS) model predictive control(MPC) permanent magnet synchronous motor(PMSM) robust operation switching frequency
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Frequency Deadband Control of Grid-forming Energy Storage Inverter in Primary Frequency Regulation
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作者 Wei Zhang Zhenxiong Wang +6 位作者 Yingjie Peng Jingting Wu Qiru Li Hao Yi zebin yang Li Li Fang Zhuo 《Journal of Modern Power Systems and Clean Energy》 2025年第1期167-178,共12页
With the increased penetration of renewable energy sources,the grid-forming(GFM)energy storage(ES)has been considered to engage in primary frequency regulation(PFR),often necessitating the use of a frequency deadband(... With the increased penetration of renewable energy sources,the grid-forming(GFM)energy storage(ES)has been considered to engage in primary frequency regulation(PFR),often necessitating the use of a frequency deadband(FDB)to prevent excessive battery charging cycling and mitigate frequency oscillations.Implementing the FDB is relatively straightforward in grid-following(GFL)control.However,implementing the FDB in GFM control presents a significant challenge since the inverter must abstain from providing active power at any frequency within the FDB.Therefore,in this paper,the performance of PFR control in the GFM-ES inverter is analyzed in detail first.Then,the FDB is implemented for GFM inverters with various types of synchronization methods,and the need for inertia response is also considered.Moreover,given the risk of oscillations near the FDB boundary,different FDB setting methods are proposed and examined,where an improved triangular hysteresis method is proposed to realize the fast response and enhanced stability.Finally,the simulation and experiment results are provided to verify the effectiveness of the above methods. 展开更多
关键词 Primary frequency regulation(PFR) frequency deadband(FDB) grid-forming(GFM)control energy storage(ES)inverter
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自动化机器学习中的超参调优方法 被引量:3
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作者 张爱军 杨泽斌 《中国科学:数学》 CSCD 北大核心 2020年第5期695-710,共16页
本文介绍近年逐渐兴起的自动化机器学习框架,着重讨论其中颇具挑战的超参调优问题.常用的调参方法有格子点法、随机搜索等批量抽样策略,还包括Bayes优化、群体搜索算法和强化学习等序贯策略.由方开泰和王元早在1990年提出的贯序数论优... 本文介绍近年逐渐兴起的自动化机器学习框架,着重讨论其中颇具挑战的超参调优问题.常用的调参方法有格子点法、随机搜索等批量抽样策略,还包括Bayes优化、群体搜索算法和强化学习等序贯策略.由方开泰和王元早在1990年提出的贯序数论优化算法,利用序贯均匀设计对复杂响应曲面寻求全局最优值,同样适用于超参调优.本文以支持向量机和极限梯度推进机这两种常用的机器学习模型为例,结合两组典型的二分类数据集,对多种超参调优方法进行测试.通过比较分析发现一种改进的贯序数论优化算法,对解决自动化机器学习中的调参问题,颇具潜力. 展开更多
关键词 自动化机器学习 超参调优 Bayes优化 序贯均匀设计
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Engineering SIRPα cellular membrane-based nanovesicles for combination immunotherapy 被引量:2
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作者 Mingyue Wang Yanfang Wang +8 位作者 Yeteng Mu Fuxu yang zebin yang Yuxuan Liu Lili Huang Shi Liu Xingang Guan Zhigang Xie Zhen Gu 《Nano Research》 SCIE EI CSCD 2023年第5期7355-7363,共9页
Immune checkpoint inhibitors(ICIs)have revolutionized cancer treatment for their unprecedented clinical efficacy.Signal regulatory proteinα(SIRPα)is a phagocytic checkpoint expressed on macrophages,dendritic cells,o... Immune checkpoint inhibitors(ICIs)have revolutionized cancer treatment for their unprecedented clinical efficacy.Signal regulatory proteinα(SIRPα)is a phagocytic checkpoint expressed on macrophages,dendritic cells,other myeloid cells.Cancer cells inhibit macrophage phagocytosis through the interaction of the CD47-SIRPαaxis.Disrupting the CD47-SIRPαaxis has therefore been a promising strategy in restoring the immune attack against cancer.Herein,we engineered cellular membrane nanovesicles(NVs)presenting SIRPαreceptors for phagocytosis checkpoint blockade to augment the antitumor immune response.Furthermore,zebularine(Zeb),an inhibitor of DNA methyltransferase,was encapsulated into SIRPαNVs to reprogram the immunosuppressive tumor microenvironment together with blockade of phagocytosis checkpoint.It is demonstrated that SIRPα@Zeb can improve tumor immunogenicity,the polarization of tumor-associated macrophages to the M1 phenotype,increase the infiltration of CD8^(+)T lymphocytes in tumors.The robust antitumor immune response induced by SIRPα@Zeb significantly suppressed tumor growth and extended mice-bearing melanoma xenograft survival. 展开更多
关键词 drug delivery signal regulatory proteinα NANOVESICLE tumor-associated macrophages cancer immunotherapy
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Recent deveolpment of multifunctional responsive gas-releasing nanoplatforms for tumor therapeutic application
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作者 zebin yang Hangrong Chen 《Nano Research》 SCIE EI CSCD 2023年第3期3924-3938,共15页
Gas therapy(GT)exhibits great potential for clinical application due to its high therapeutic efficiency,low systemic side effects,and biosafety,thereinto,a multifunctional nanoplatform is generally needed for controll... Gas therapy(GT)exhibits great potential for clinical application due to its high therapeutic efficiency,low systemic side effects,and biosafety,thereinto,a multifunctional nanoplatform is generally needed for controllable gas release and precise delivery to tumor tissue.In this review,the recent development of multifunctional nanoplatforms for efficient tumor delivery of stimuliresponsive gas-releasing molecules(GRMs),which could be triggered by either exogenous physical or endogenous tumor microenvironment(TME)is summarized.The reported therapeutic gas molecules,including oxygen(O_(2)),hydrogen sulfide(H_(2)S),nitric oxide(NO),hydrogen(H_(2)),and carbon monoxide(CO),etc.,could directly influence or change the pathological status.Additionally,abundant nanocarriers have been employed for gas delivery into cancer region,such as mesoporous silica nanoparticles(MSNs),metal-organic frameworks(MOFs),two-dimensional(2D)nanomaterials,and liposomes,as well as nonnanocarriers including inorganic and organic nanoparticles.In the end,the outlooks of current challenges of GT and GRMs delivery nanoplatforms as well as the prospects of future clinical applications are proposed. 展开更多
关键词 gas therapy(GT) gas-releasing molecules(GRMs) STIMULI-RESPONSIVE EXOGENOUS endogenous nanoplatform
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