About the Book
This book presents advances in control technologies for efficient operation of permeant magnet synchronous machines (PMSMs) and linear induction machines (LIMs) based on sliding mode control (SMC). It covers the design of the speed controller based on SMC and the composited speed controller based on different disturbance observers for the PMSM under the field-oriented control (FOC) method including the numerical analysis of second-order systems. Several case studies with simulation in MATLAB® and real-time experimental analysis have been offered to verify the effectiveness of the proposed methods.
Key features:
Summarizes several theoretical control algorithms for permanent magnet synchronous motors and linear induction motors
Provides simulation and experimental results to show the effectiveness of the theoretical algorithms
Considers control scenarios from the typical problems in industrial applications pertaining to permanent magnet synchronous motors and linear induction motors
Proposes FOC, direct thrust control (DTC), and model predictive control (MPC) methods
Includes numerical analysis of the second-order systems to understand the process of the SMC design and its parameters.
This book is aimed at researchers, professionals, and graduate students in control and electrical engineering.
Table of Contents:
1. Introduction 2. Robust Speed Control of the PMSM Based on the Continuous Fast Terminal Sliding Mode Control 3. Extended State Observer‑Based Sliding Mode Control of Permanent Magnet Synchronous Motors 4. Novel Speed Control of PMSM Drive System Based on Adaptive Sliding Mode Reaching Law 5. Improved Reaching Law-Based Sliding Mode Control with Extended State Observer of PMSM Drive System 6. Sliding Mode Speed Regulation on LIMs Based on Direct Thrust Control with Space Vector Modulation Strategy 7. Improved Drive Performance of LIM Based on Double-Power Sliding Mode Reaching Law under the DTC Method 8. Cascaded Sliding Mode Control under Direct Thrust Control for Linear Induction Machines Based on Linear Metro 9 Improved Full-Order Sliding Mode Based on Model Predictive Flux Control for LIMs Applied to Urban Transit 10 Conclusions and Future Works
About the Author :
Abdul Khalique Junejo (SMIEEE’23) received his B.E. and M.E. degrees in Electrical Engineering from Quaid-e-Awam University of Engineering, Science, and Technology (QUEST), Nawabshah, Sindh, Pakistan, in 2011 and 2015, respectively. Moreover, he also received his Ph.D. degree from the School of Electrical and Electronics Engineering at the State Key Laboratory of Advanced Electromagnetic Engineering, Huazhong University of Science and Technology, Wuhan, China. He is currently working as a Postdoctoral Fellow in the School of Electrical and Electronics Engineering at Huazhong University of Science and Technology, Wuhan, China. Additionally, he is an Assistant Professor at QUEST, Nawabshah, Sindh, Pakistan. He has served as an Associate Editor for CES Transactions on Electrical Machines and Systems and Academic Editor of Scientific Reports, a Springer-Nature journal. He has organized special sessions in well-recognized conferences, such as IECON 2023, IECON 2024, SEGRE 2024, and CPE-POWERENG 2025. He has published 39 SCI journal papers, including 22 IEEE papers (IEEE TVT, IEEE TPEL, IEEE TIE, IEEE TEC, IEEE IAS, IEEE TTE, and IEEE Access) and 17 national and international journals. Furthermore, he has attended and published papers at international conferences on machines, including ICEMS, LDIA, CIYCEE, and ECCE. He has served as a reviewer for various IEEE Transactions journals. One of his papers was selected as one of the best papers published during 2019–2020 in the IEEE Transactions on Energy Conversion in the Power Generation Systems and Grid Interfaces area. Moreover, one of his papers has been recognized as a highly cited paper in WoS 2024, ranking in the top 1%, and another paper ranks in the top 2%. His research interests include sliding mode control, direct torque control , model predictive control (MPC), and sensorless control methods for permanent magnet synchronous machines (PMSMs), induction machines (IM), linear IM, linear oscillatory motors, and drives, as well as renewable energies.
Wei Xu (Fellow, IEEE) received his double B.E. and M.E. degrees from Tianjin University, Tianjin, China, in 2002 and 2005, respectively, and his Ph.D. degree from the Institute of Electrical Engineering, Chinese Academy of Sciences (IEECAS), Beijing, China, in 2008, all in Electrical Engineering. His research topics mainly focus on the design and control of linear machines and drives.
From 2008 to 2012, he was a Postdoctoral Fellow with the University of Technology Sydney, Ultimo, NSW, Australia; the Vice-Chancellor Research Fellow with the Royal Melbourne Institute of Technology, Melbourne, VIC, Australia; and a Japan Science Promotion Society Invitation Fellow with Meiji University, Tokyo, Japan. From 2013 to 2023, he was a Professor with the Huazhong University of Science and Technology, Wuhan, China. Since 2024, he has been a Professor with IEECAS.
Dr. Xu is a fellow of the Institute of Engineering and Technology. He was the General Chair of 2021 International Symposium on Linear Drives for Industry Applications and 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics. He is an Associate Editor of over ten peer-reviewed IEEE Journals, including IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.
Yirong Tang (Graduate Student Member, IEEE) received the B.E. degree in Electrical Engineering, in 2020, from Huazhong University of Science and Technology, Wuhan, China, where he is currently working toward the Ph.D. degree in Electrical Engineering with the State Key Laboratory of Advanced Electromagnetic Technology. His research interests include advanced control methods for linear induction machines, permanent magnet synchronous machines, and drives.
