Design of Permanent Sensor Fault Tolerance Algorithms by Sliding Mode Observer for Smart Hybrid Powerpack

• DOI: 10.5281/zenodo.1123540
• Publication Date: 2016-02-03
• Authors: Sungsik Jo; Hyeonwoo Kim; Iksu Choi; Hunmo Kim
• Keywords: Observer (physics); Mode (computer interface)

{"references": ["E. Sampson, S. R. Habibi, Y. Chinniah, R. Burton, 2005, \"Model\nidentification of the electrohydraulic actuator for small signal inputs\", In\nBath workshop on power transmission and motion control (PTMC 2005),\n18th. University of Bath, United Kingdom.", "S. R. Habibi, A. Goldenberg, 1999, \"A Mechatronics Approach for the\nDesign of a New High Performance Electro Hydraulic Actuator\",\nInternational Off-Highway & Powerplant Congress & Exposition\nIndianapolis,Indiana.", "J. J. E. Slotine, J. K. Hedrick, and E. A. Misawa,\"On sliding observers for\nnonlinear systems,\" in American Control Conference, 1986, 1986,\npp.1794-1800.", "S. H. Park, J. M. Lee, J. S. Kim, 2009, \"Robust control of the pressure in a\ncontrol-cylinder with direct drive valve for the variable displacement\naxial piston pump\", Pro. Of IMechE, Part I: Journal of Systems and\nControl Engineering, vol. 223, no. 4.", "C Guan, S Pan., \"Adaptive sliding mode control of electro-hydraulic\nsystem with nonlinear unknown parameters\", Cont. Eng. Prac., Vol. 16,\nNo. 11, pp. 1275-84, 2008.", "S. S. Jo, J. K. Choi, and H. M. Kim, \"A Comparison between Kalman\nFilter and Threshold Predictor for Correcting Sensor Noise of Smart\nHybrid Powerpack\" pp. 166-173 , IRCITCS 2013, Sep. 28-30, 2013,\nKuala Lumpur, Malaysia.", "J. M. Lee, H. M. Kim, S. H. Park, and J. S. Kim, \"A position control of\nelectro-hydraulic actuator systems using the adaptive control scheme\"\nproceeding of the 7th asian control conference, hong kong, china, august\n27-29,2009", "J. Choi, L. Shi, L. Wu, H. Kim, I. Choi and H. Kim, \"Design of\nSelf-tuning Fuzzy Control and Fault Tolerant Error Control Coding Based\non Graphic User Interface for Smart Hybrid Powerpack\", ICMM 2014,\nMay 9-11, 2014, Xi'an, Shanxi, China."]}<br/>In the SHP, LVDT sensor is for detecting the length changes of the EHA output, and the thrust of the EHA is controlled by the pressure sensor. Sensor is possible to cause hardware fault by internal problem or external disturbance. The EHA of SHP is able to be uncontrollable due to control by feedback from uncertain information, on this paper; the sliding mode observer algorithm estimates the original sensor output information in permanent sensor fault. The proposed algorithm shows performance to recovery fault of disconnection and short circuit basically, also the algorithm detect various of sensor fault mode.<br/>