Fractional-Order Sliding Mode Control

This book delves deep into fractional-order control and fractional-order sliding mode techniques, addressing key challenges in the control design of linear motor systems and control for the deployment of space tethered systems. Innovative strategies such as adaptive fractional-order sliding mode control and fractional-order fuzzy sliding mode control schemes are devised to enhance system performance. Divided into three parts, it covers a brief view of fractional-order control strength in modeling and control, fractional-order sliding mode control of linear motor systems, and fractional-order sliding mode control for the deployment of space tethered systems. Each chapter offers valuable insights and solutions. Simulations and experiments validate the efficacy of these approaches, making this book essential for researchers, engineers, and practitioners in control systems and aerospace engineering.

Guanghui Sun received the B.S. degree in automation and the M.S. and Ph.D. degrees in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2005, 2007, and 2010, respectively. He is currently a professor in the Department of Control Science and Engineering, Harbin Institute of Technology. His research interests include fractional-order systems, networked control systems, and sliding mode control.

Chengwei Wu received the B.S. degree in management from the Arts and Science College, Bohai University, Jinzhou, China, in 2013, the M.S. degree from Bohai University, in 2016, and the Ph.D. degree from Harbin Institute of Technology, China, 2021. From July 2015 to December 2015, he was a research assistant in the Department of Mechanical Engineering, The Hong Kong Polytechnic University. From 2019 to 2021, he was a joint Ph.D. student at Department of Cognitive Robotics, Delft University of Technology, Netherlands. He is currently an associate professor with the Harbin Institute of Technology, Harbin, China. His research interests include reinforcement learning, sliding mode control, and cyber-physical systems.

Xiaolei Li received the B.S. degree in automation from Inner Mongolia University, Inner Mongolia, China, in 2016, and the M.S. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018, respectively. He is currently an assistant professor with the School of Astronautics, Harbin Institute of Technology. His research interests include fractional-order systems, space tethered system, sliding mode control, and model predictive control.

Zhiqiang Ma received the B.S. degree and the M.S. degree in control engineering from Northwestern Polytechnical University, Xi’an, China, in 2011 and 2014, respectively, and the Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018. He is currently an associate professor with the School of Astronautics, Northwestern Polytechnical University. His current research interests include nonlinear dynamics and control for tethered space system and robotic teleoperation.

Shidong Xu received the B.S. degree in automation from Northeast Forestry University, Harbin, China, in 2012, and the M.S. and Ph.D. degrees in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2014 and 2018, respectively. He is currently a lecturer with the College of Aerospace Engineering, University of Aeronautics and Astronautics, Nanjing, China. His current research interests are in the geometric methods for the guidance, dynamics and control of autonomous unmanned systems.

Xiangyu Shao received the B.S. degree in automation from Harbin Engineering University, Harbin, China, in 2016, and M.S. and Ph.D. degrees in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018 and 2022, respectively. He is currently an assistant professor with the School of Astronautics, Harbin Institute of Technology. His research interests include space robots, soft robots, sliding mode control, and fractional-order control.