Gongping Wu received the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2021. He studied with College of Electronic and Information Engineering, Tongji University, Shanghai, China, from September 2011 to September 2013. From 2019 to 2021, he was a Visiting student with the Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark. He is an Associate Professor with the College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China. His current research interests include motor fault diagnosis, model predictive control, and permanent magnet synchronous motor systems. Sheng Huang received the M.S. and Ph.D. degrees in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2012 and 2016, respectively. Since 2023, he has been a Professor with College of Electrical and Information Engineering, Hunan University. His research interests include renewable energy generation, modeling and integration study of wind power, and permanent magnet synchronous motor systems.Qiuwei Wu received the PhD degree in Electrical Engineering from Nanyang Technological University, Singapore, in 2009. He is a professor with the School of Electronics, Electrical Engineering, and Computer Science (EEECS), Queen’s University Belfast, the UK. His research interests are distributed optimal operation and control of low carbon power and energy systems, including distributed optimal control of wind power, optimal operation of active distribution networks, and optimal operation and planning of integrated energy systems.Vladimir Terzija is a Full Professor at the School of Engineering, Newcastle University, in the United Kingdom. He was previously a Full Professor and the Head of Laboratory of Modern Energy Systems with Skoltech, Russian Federation, EPSRC Chair Professor in power system engineering at the University of Manchester, UK, and an Assistant Professor at the University of Belgrade. Additionally, he was a Senior Specialist for switchgear and distribution automation with ABB, in Germany. His research interests include smart grid applications, wide-area monitoring, protection and control, multi-energy systems, switchgear and transient processes, ICT, data analytics, and digital signal processing applications in power systems. Prof. Terzija was the recipient of the prestigious Alexander von Humboldt Fellowship, and is the Editor-in-Chief of the International Journal of Electrical Power and Energy Systems.

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• 1. Classic Control Strategies and Practical Application of Permanent Magnet Synchronous Motor2. Research Status and Challenges of Model Predictive Control in Motor Systems3. Modeling and Parameters Sensitivity Analysis of PMSM Under Parameter Mismatch4. Model Predictive Control of PMSM Under Normal Conditions5. Novel Predictive Stator Flux Control Techniques for Three-phase PMSM Considering Flux Linkage Parameter Mismatch6. Robust Fault-Tolerant Predictive Current Control for Three-phase PMSM Considering Demagnetization Fault7. Robust Cascaded Model-Free Tolerant Control With Parameters Mismatch Fault Diagnosis for Three-phase PMSM8. Robust Cascaded Predictive Voltage Control for Three-phase PMSM Without Model Parameter Dependency9. Robust Predictive Torque Control of Modular PMSM for High Power Traction Application Under Parameter Mismatch10. Model-free Predictive Flux Vector Control for Modular PMSM Considering Parameters Mismatch11. Predictive Torque and Stator Flux Control for Modular PMSM With Parameter Robustness Improvement12. Robust Predictive Power Control of Modular PMSM with Inductance Parameter Mismatch

Gongping Wu received the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2021. He studied with College of Electronic and Information Engineering, Tongji University, Shanghai, China, from September 2011 to September 2013. From 2019 to 2021, he was a Visiting student with the Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark. He is an Associate Professor with the College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China. His current research interests include motor fault diagnosis, model predictive control, and permanent magnet synchronous motor systems. Sheng Huang received the M.S. and Ph.D. degrees in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2012 and 2016, respectively. Since 2023, he has been a Professor with College of Electrical and Information Engineering, Hunan University. His research interests include renewable energy generation, modeling and integration study of wind power, and permanent magnet synchronous motor systems.Qiuwei Wu received the PhD degree in Electrical Engineering from Nanyang Technological University, Singapore, in 2009. He is a professor with the School of Electronics, Electrical Engineering, and Computer Science (EEECS), Queen’s University Belfast, the UK. His research interests are distributed optimal operation and control of low carbon power and energy systems, including distributed optimal control of wind power, optimal operation of active distribution networks, and optimal operation and planning of integrated energy systems.Vladimir Terzija is a Full Professor at the School of Engineering, Newcastle University, in the United Kingdom. He was previously a Full Professor and the Head of Laboratory of Modern Energy Systems with Skoltech, Russian Federation, EPSRC Chair Professor in power system engineering at the University of Manchester, UK, and an Assistant Professor at the University of Belgrade. Additionally, he was a Senior Specialist for switchgear and distribution automation with ABB, in Germany. His research interests include smart grid applications, wide-area monitoring, protection and control, multi-energy systems, switchgear and transient processes, ICT, data analytics, and digital signal processing applications in power systems. Prof. Terzija was the recipient of the prestigious Alexander von Humboldt Fellowship, and is the Editor-in-Chief of the International Journal of Electrical Power and Energy Systems.

Select Guide Rating

• 1. Classic Control Strategies and Practical Application of Permanent Magnet Synchronous Motor2. Research Status and Challenges of Model Predictive Control in Motor Systems3. Modeling and Parameters Sensitivity Analysis of PMSM Under Parameter Mismatch4. Model Predictive Control of PMSM Under Normal Conditions5. Novel Predictive Stator Flux Control Techniques for Three-phase PMSM Considering Flux Linkage Parameter Mismatch6. Robust Fault-Tolerant Predictive Current Control for Three-phase PMSM Considering Demagnetization Fault7. Robust Cascaded Model-Free Tolerant Control With Parameters Mismatch Fault Diagnosis for Three-phase PMSM8. Robust Cascaded Predictive Voltage Control for Three-phase PMSM Without Model Parameter Dependency9. Robust Predictive Torque Control of Modular PMSM for High Power Traction Application Under Parameter Mismatch10. Model-free Predictive Flux Vector Control for Modular PMSM Considering Parameters Mismatch11. Predictive Torque and Stator Flux Control for Modular PMSM With Parameter Robustness Improvement12. Robust Predictive Power Control of Modular PMSM with Inductance Parameter Mismatch

Gongping Wu received the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2021. He studied with College of Electronic and Information Engineering, Tongji University, Shanghai, China, from September 2011 to September 2013. From 2019 to 2021, he was a Visiting student with the Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark. He is an Associate Professor with the College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China. His current research interests include motor fault diagnosis, model predictive control, and permanent magnet synchronous motor systems. Sheng Huang received the M.S. and Ph.D. degrees in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2012 and 2016, respectively. Since 2023, he has been a Professor with College of Electrical and Information Engineering, Hunan University. His research interests include renewable energy generation, modeling and integration study of wind power, and permanent magnet synchronous motor systems.Qiuwei Wu received the PhD degree in Electrical Engineering from Nanyang Technological University, Singapore, in 2009. He is a professor with the School of Electronics, Electrical Engineering, and Computer Science (EEECS), Queen’s University Belfast, the UK. His research interests are distributed optimal operation and control of low carbon power and energy systems, including distributed optimal control of wind power, optimal operation of active distribution networks, and optimal operation and planning of integrated energy systems.Vladimir Terzija is a Full Professor at the School of Engineering, Newcastle University, in the United Kingdom. He was previously a Full Professor and the Head of Laboratory of Modern Energy Systems with Skoltech, Russian Federation, EPSRC Chair Professor in power system engineering at the University of Manchester, UK, and an Assistant Professor at the University of Belgrade. Additionally, he was a Senior Specialist for switchgear and distribution automation with ABB, in Germany. His research interests include smart grid applications, wide-area monitoring, protection and control, multi-energy systems, switchgear and transient processes, ICT, data analytics, and digital signal processing applications in power systems. Prof. Terzija was the recipient of the prestigious Alexander von Humboldt Fellowship, and is the Editor-in-Chief of the International Journal of Electrical Power and Energy Systems.

Select Guide Rating

• 1. Classic Control Strategies and Practical Application of Permanent Magnet Synchronous Motor2. Research Status and Challenges of Model Predictive Control in Motor Systems3. Modeling and Parameters Sensitivity Analysis of PMSM Under Parameter Mismatch4. Model Predictive Control of PMSM Under Normal Conditions5. Novel Predictive Stator Flux Control Techniques for Three-phase PMSM Considering Flux Linkage Parameter Mismatch6. Robust Fault-Tolerant Predictive Current Control for Three-phase PMSM Considering Demagnetization Fault7. Robust Cascaded Model-Free Tolerant Control With Parameters Mismatch Fault Diagnosis for Three-phase PMSM8. Robust Cascaded Predictive Voltage Control for Three-phase PMSM Without Model Parameter Dependency9. Robust Predictive Torque Control of Modular PMSM for High Power Traction Application Under Parameter Mismatch10. Model-free Predictive Flux Vector Control for Modular PMSM Considering Parameters Mismatch11. Predictive Torque and Stator Flux Control for Modular PMSM With Parameter Robustness Improvement12. Robust Predictive Power Control of Modular PMSM with Inductance Parameter Mismatch