| Title | Detection of rotating stall based on deterministic learning |
| Authors | Si, Wenjie Wang, Cong Wen, Binhe Wang, Yong Hou, Anping |
| Affiliation | School of Automation and Center for Control and Optimization, South China University of Technology, Guangzhou 510641, China Department of Mechanics and Engineering Science, Peking University, Beijing 100871, China School of Energy and Power Engineering, BeiHang University, Beijing 100191, China |
| Issue Date | 2013 |
| Citation | 32nd Chinese Control Conference, CCC 2013.Xi'an, China. |
| Abstract | In this paper, deterministic learning theory is used to detect the stall inception signal for the axial compressor. Firstly, based on deterministic learning (DL) theory, the system dynamics underlying normal and stall inception signal are identified and stored in constant radial basis function (RBF) networks. Secondly, through the method of dynamic pattern recognition in DL, the stall inception of the axial compressor could be detected. Simulation results show the validity of the proposed approach. ? 2013 TCCT, CAA. |
| URI | http://hdl.handle.net/20.500.11897/411689 |
| Indexed | EI |
| Appears in Collections: | 工学院 |
