![Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5928/TOC-Subject-Sample-2021-Computer-Science.jpg"})
ABSTRACT
This paper investigates fault-tolerant control algorithm for diesel engine air path system with consideration of system parametric uncertainties, external disturbances and actuator faults. Initially, a finite-time disturbance observer is developed for estimating the synchronised uncertainties including parametric uncertainties and external disturbances. Based on the reconstructed information from the observer, a fault-tolerant control law is designed by using sliding mode control incorporated adaptive method. Furthermore, to attenuate the chattering problem caused by conventional sliding mode control method, the hyperbolic tangent function is utilised. A novel sliding variable is employed for improving the performance of the modified chattering-free control approach. The proposed fault-tolerant control algorithm is feasible for implementing and unnecessary caculations can be avoided, because the synchronised uncertainties and the actuator faults are tackled separately. Besides, the observer does not require the priori knowledge of the upper bounds of the synchronised uncertainties. Finally, simulation results and comparison are carried out and analysed for illustrating the effectiveness and validness of the proposed control schemes.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Funding
Notes on contributors
Jian Zhang
Jian Zhang received the B.E. and M.E. degrees from Harbin Engineering University, Harbin, China in 2009 and 2012 respectively, and received the Ph.D. degree in control science and engineering at Harbin Institute of Technology, Harbin, China in 2017. She is current an associate professor with the College of Power and Energy Engineering of Harbin Engineering University, Harbin, China. Her research interests include diesel engine control, spacecraft formation coordinated control, finite-time control, and sliding mode control.
Hao Zhao
Hao Zhao received the B.E. from Harbin Engineering University, Harbin, China in 2018. He is current a master student in control science and engineering at College of Power and Energy Engineering, Harbin Engineering University, Harbin, China. His research interests include diesel engine modeling and sliding mode control.
Zhiguang Feng
Zhiguang Feng received the B.S. degree in automation from Qufu Normal University, Rizhao, China, in 2006, and the M.S. degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China, in 2009, and Ph.D. degree in the Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, in 2013, respectively. He was a Research Associate in the Department of Mechanical Engineering, the University of Hong Kong from Oct. 2013 to Feb. 2014. From Mar. 2014 to Apr. 2015, he was a Visiting Fellow in the School of Computing, Engineering and Mathematics, the University of Western Sydney, Australia. He was appointed with Victoria University in Australia as Postdoctoral Research Fellow within the College of Engineering and Science from Oct. 2015 to Mar. 2017. Now, he is a Professor at the College of Automation, Harbin Engineering University, Harbin, China. His research interests include singular systems, time-delay systems, robust control, dissipative control, and reachable set estimation.
Long Liu
Long Liu was born in 1980. He received the Ph.D. degree from Energy Science at Kyoto University in 2013. He is currently a Professor and a Ph.D. supervisor with College of Power and Energy Engineering of Harbin Engineering University, Harbin, China. His research is focused on the energy conversion science and technology including spray and combustion of marine internal combustion engines (ICEs), alternative fuels, ICEs control, measurement and diagnostics for ICEs.