报告清单

[33]Multi-Objective Control of Nine-Level ANPC Converters: A Robust and Gain-Free MPC Method

Harbi Ibrahim ；Hamza Makhamreh ；Ahmed Mostafa ；Abdelrahem Mohamed ；Heldwein Marcelo ；Jose Rodriguez Universidad San Sebastian；Kennel Ralph

S /S4 2023年06月18日 14:20~14:40

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[32]Robust Deadbeat Predictive Current Control Based on Adaptive Internal Model Disturbance Observer for PMLSM Drives

Cong Bai School of Electrical Engineering, Xi；Zhonggang Yin ；Dongsheng Yuan ；Yanqing Zhang Xi；Yangyang Cui

S /S4 2023年06月18日 14:00~14:20

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[31]ABC Frame Model-Free Predictive Control for Multiphase Converters and Electrical Drives

Mahdi S. Mousavi ；Davari S. Alireza ；Freddy Flores-Bahamonde ；Garcia Cristian ；Jose Rodriguez Universidad San Sebastian

S /S3 2023年06月18日 11:40~12:00

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[30]Finite Control Set Model Free Predictive Current Control of Permanent Magnet Synchronous Motors

Yanqing Zhang Xi；Liang Shao 研究生 Xi；Zhonggang Yin ；Peien Luo 西安理工大学

S /S3 2023年06月18日 11:20~11:40

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[29]Model Predictive Current Control for Permanent Magnet Synchronous Motor based on Neural Network

Yaohua Li School of Automobile, Chang’an University；Dongmei Liu Chang；Tingxu Wu ；Weichao Guo ；Xinquan Zhang ；Yizhi Deng

S /S3 2023年06月18日 11:00~11:20

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[28]Multi-Step Predictive Control Based on Ant Colony Optimization for Offshore Wind Turbine System

Kaige Zhang shandong university；Zhen Li ；Han He ；Meng Wang ；Zhenbin Zhang ；Jose Rodriguez Universidad San Sebastian

S /S3 2023年06月18日 10:40~11:00

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[27]Synchronized SVPWM With Half-Wave Symmetry Relaxation for Low-Switching-Frequency Three-Level NPC Inverter

Wenyue Zheng NCEPU；Yongchang Zhang ；Yubin Wang

S /S3 2023年06月18日 10:20~10:40

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[26]A NARX Neural Network-Based Predictive Control for Power Management of DC Microgrid Clusters

Jixiang Diao ；Sucheng Liu ；Xuefeng Huang ；Qianjin Zhang ；Wei Fang ；Xiaodong Liu

S /S2 2023年06月18日 11:40~12:00

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[25]Data-Driven Finite-Set Predictive Current Control via Deep Q-Learning for Permanent Magnet Synchronous Motor Drives

Zichun Tang Southwest Jiaotong University

S /S2 2023年06月18日 11:20~11:40

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[24]Comparison Analysis on Control-Increment-Based and Control-Quantity-Based Predictive Controls of Permanent Magnet Synchronous Motors

Ling Lei ；Sudan Huang Shenzhen University

S /S2 2023年06月18日 11:00~11:20

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The 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2023)

[33]Multi-Objective Control of Nine-Level ANPC Converters: A Robust and Gain-Free MPC Method

[32]Robust Deadbeat Predictive Current Control Based on Adaptive Internal Model Disturbance Observer for PMLSM Drives

[31]ABC Frame Model-Free Predictive Control for Multiphase Converters and Electrical Drives

[30]Finite Control Set Model Free Predictive Current Control of Permanent Magnet Synchronous Motors

[29]Model Predictive Current Control for Permanent Magnet Synchronous Motor based on Neural Network

[28]Multi-Step Predictive Control Based on Ant Colony Optimization for Offshore Wind Turbine System

[27]Synchronized SVPWM With Half-Wave Symmetry Relaxation for Low-Switching-Frequency Three-Level NPC Inverter

[26]A NARX Neural Network-Based Predictive Control for Power Management of DC Microgrid Clusters

[25]Data-Driven Finite-Set Predictive Current Control via Deep Q-Learning for Permanent Magnet Synchronous Motor Drives

[24]Comparison Analysis on Control-Increment-Based and Control-Quantity-Based Predictive Controls of Permanent Magnet Synchronous Motors

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