Abstract
Fault diagnosis of liquid rocket propulsion systems (LRPSs) is a very important issue in space launch activities particularly when manned space missions are accompanied, since the safety and reliability can be significantly enhanced by exploiting an efficient fault diagnosis system. Currently, inverse problem-based diagnosis has attracted a great deal of research attention in fault diagnosis domain. This methodology provides a new strategy to model-based fault diagnosis for monitoring the health of propulsion systems. To solve the inverse problems arising from the fault diagnosis of LRPSs, GAs have been adopted in recent years as the first and effective choice of available numerical optimization tools. However, the GA has many control parameters to be chosen in advance and there still lack sound theoretical tools to analyze the effects of these parameters on diagnostic performance analytically. In this paper a comparative study of the influence of GA parameters on diagnostic results is conducted by performing a series of numerical experiments. The objective of this study is to investigate the contribution of individual algorithm parameter to final diagnostic result and provide reasonable estimates for choosing GA parameters in the inverse problem-based fault diagnosis of LRPSs. Some constructive remarks are made in conclusion and will be helpful for the implementation of GA to the fault diagnosis practice of LRPSs in the future.
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This work was supported by the National Natural Science Foundation of China (No. 50106005)
Erfu Yang received his B.E., M.E., and Ph.D. degrees from the School of Space Technology, Beijing University of Aeronautics and Astronautics, China, in 1994, 1996, and 1999, respectively. From September 1999 to September 2001, he was a postdoctoral researcher in the Department of Automation at Tsinghua University, China. In September 2001 he joined Beijing University of Aeronautics and Astronautics as an associate professor. As a JSPS (Japan Society for the Promotion of Science) postdoctoral research fellow, from November 2001 to December 2003 he worked in the Department of Mechanical and Control Systems Engineering at Tokyo Institute of Technology, Tokyo, Japan. His research interests include nonlinear control theory and applications, robotics, multi-agent systems, process control, machine learning, and fault diagnosis. He is a member of the IEEE.
Hongjun Xiang received his B.E., M.E., and Ph.D. degrees from the School of Space Technology, Beijing University of Aeronautics and Astronautics, China, in 1994, 1997, and 2000, respectively. From 2000 to 2002 he was a postdoctoral researcher in the Institute of Fluid Dynamics at Beijing University of Aeronautics and Astronautics. He is now an associate professor in the School of Space Technology. His main research interests include numerical simulations for the internal flows of rocket engines, two-phase fluid dynamics, and new propulsion technology, etc.
Dongbing Gu received the B.S. degree in 1985 and the M.S. degree in 1988 both in automatic control from Beijing Institute of Technology, China. He received the Ph.D. degree in computer science in 2004 from the University of Essex, UK. He became a lecturer of computer science in 2000 at the University of Essex. He was a visiting scholar in the Department of Engineering Science, University of Oxford, UK, from October 1996 to September 1997, financially supported by the scholarship of SBFSS from British Council. From 1988 to 2000, he worked in the Department of Electronic Engineering at Changchun University of Science and Technology, China. He has published over 40 papers in journals and conferences, and received several research awards in China. His current research interests include predictive control, distributed control, machine learning, and statistical image processing. He is a member of the IEEE.
Zhenpeng Zhang is a professor in the School of Space Technology, Beijing University of Aeronautics and Astronautics, China. From 1987 to 1989 he was a visiting scholar in the Department of Aerospace Engineering at the Georgia Institute of Technology, USA. He was the head of the School of Space Technology, Beijing University of Aeronautics and Astronautics. He has published over 3 books and many papers in journals and at conferences. His research interests include liquid and solid rocket engines, two-phase fluid dynamics, aerodynamics, health monitoring and fault diagnosis for rocket propulsion systems, and new propulsion technology, etc.
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Yang, E., Xiang, H., Gu, D. et al. A comparative study of genetic algorithm parameters for the inverse problem-based fault diagnosis of liquid rocket propulsion systems. Int J Automat Comput 4, 255–261 (2007). https://doi.org/10.1007/s11633-007-0255-5
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DOI: https://doi.org/10.1007/s11633-007-0255-5