Pneumatic Servo Systems Analysis: Control and Application in Robotic Systems (Advances in Industrial Control)

This book focuses on pneumatic servo systems analysis, control and application in robotic systems. The pneumatic servo systems are composed by pneumatic artificial muscles or cylinders, which are two important pneumatic actuators in industrial application. The active disturbance rejection control technique is used effectively to solve strong nonlinearity and uncertain factors for the pneumatic servo systems. Nonlinear feedback control, back-stepping control, finite-time control, sliding mode control and several other control laws are proposed to make the pneumatic servo systems have better control performances. The book establishes a fundamental framework for this topic, while emphasizing the importance of integrated analysis. The book is intended for undergraduate and graduate students who are interested in this field and engineers working on the applications of pneumatic servo systems.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Dr. Ling Zhao received the B.S. degree in Automation from Southwest University, Chongqing, China, in 2007 and the Ph.D. degree in Control Science and Engineering in Beijing Institute of Technology, Beijing, China, in 2012. Between 2012 and 2018, she was a teacher in the College of Mechanical Engineering, Yanshan University, Qinhuangdao, China, where she was promoted to an Associate Professor in 2016. She is currently an Associate Professor in School of Precision Instruments and Optoelectronics Engineering, Tianjin University, China. Her research interests include robust control, pneumatic servo control, active disturbance rejection control, and networked control systems. 

Dr. Yuanqing Xia received his Ph.D. degree in control theory and control engineering from Beihang University, Beijing, China, in 2001. He was a research fellow in several academic institutions during 2002 to 2008, including the National University of Singapore and the University of Glamorgan, UK. Since 2004, he has been with Beijing Institute of Technology (BIT), China, where he is currently a chair professor, as well as the chief director of the School of Automation, BIT. He is currently the director of specialized committee on cloud control and decision of Chinese Institute of Command and Control (CICC), a member of the 8th Disciplinary Review Group of the Academic Degrees Committee of the State Council, a member of the Big Data Expert Committee of the Chinese Computer Society, and the vice chairman of the Internet of Things Working Committee of the Chinese Institute of Instrumentation. He was granted by the National Outstanding Youth Foundation of China in 2012, and was honored as the Yangtze River Scholar Distinguished Professor in 2016 and the Leading Talent of the Chinese Ten Thousand Talents Program. He has published sixteen monographs in Springer, John Wiley, and CRC, and more than 400 papers in international scientific journals, and has been a highly cited scholar since 2014 by Elsevier. He is a deputy editor of the Journal of Beijing Institute of Technology, an associate editor of Acta Automatica Sinica, International Journal of Automation and Computing, Gyroscopy and Navigation, Control Theory and Applications, etc. He obtained the Second Award of the Beijing Municipal Science and Technology (No. 1) in 2010 and 2015, the Second National Award for Science and Technology (No. 2) in 2011, the Second Natural Science Award of the Ministry of Education (No. 1) in 2012 and 2017,  and the Second Wu Wenjun Artificial Intelligence Award in 2018 (No. 1).  More than five of his students have obtained the excellent doctoral thesis awards from Chinese Association of Automation or Chinese Institute of Command and Control. His research interests include cloud control systems, networked control systems, robust control and signal processing, active disturbance rejection control, unmanned system control, and flight control.

Dr. Hongjiu Yang received the B.S. degree in mathematics and applied mathematics and the M.S. degree in applied mathematics from Hebei University of Science and Technology, Shijiazhuang, China, in 2005 and 2008, respectively. He received the Ph.D. degree in control science and engineering in Beijing Institute of Technology, Beijing, China. He was an Associate Professor with the Department of Automation, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China, in 2013 and 2018. He is currently a professor with the Department of Automation, School of Electrical and Information Engineering, Tianjin University, China. His main research interests include robust control/filter theory, delta operator systems, networked control systems and active disturbance rejection control.

Dr. Jinhui Zhang received the Ph.D. degree in Control Science and Engineering from Beijing Institute of Technology, Beijing, China, in 2011. He was a research associate in theDepartment of Mechanical Engineering, University of Hong Kong, Hong Kong, from February 2010 to May 2010, a senior research associate in the Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, from December 2010 to March 2011, and a visiting fellow with the School of Computing, Engineering & Mathematics, University of Western Sydney, Sydney, Australia, from February 2013 to May 2013. He was an associate professor in the Beijing University of Chemical Technology, Beijing, from March 2011 to March 2016, a professor in the School of Electrical and Automation Engineering, Tianjin University, Tianjin, from April 2016 to September 2016. He joined Beijing Institute of Technology in October 2016, where he is currently a professor. His research interests include networked control systems, composite disturbance rejection control and biomedical engineering.