Abstract
Model-based fault detection and isolation (FDI) needs an analytical model from which residuals can be obtained from a definite cause and effect relationships. The residuals are considered as the fault indicators, which are utilized for root cause analysis via fault signature and parameter estimation. After the disambiguation of fault, the job remains to take a decision in the supervision platform whether the fault can be accommodated (or tolerated) with the existing instrumentation. This applicability of fault tolerant control (FTC) depends upon actuator sizing through system inversion and control law design. In this work, a proven methodology for FDI using bond graph modeling has been applied to an oil hydraulic test bench for isolating a faulty component. The test bench was designed with a provision to inject a fault. After isolation of the faulty component, estimation of faulty parameters, inversion of systems, actuator sizing, and FTC have been addressed. In this paper, a novel fault tolerant control (FTC) using system inversion with due consideration of actuator constraints is reported. In addition, the receding horizon control as FTC has been corroborated through experimentation in a hydraulic drive, where two-step PI control is used to comply with actuator constraints.
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Paul, S., Ghoshal, S.K., Samanta, S. et al. Model-based single fault disambiguation and fault tolerant control for a hydraulic drive using receding horizon. J Braz. Soc. Mech. Sci. Eng. 39, 2405–2419 (2017). https://doi.org/10.1007/s40430-017-0754-4
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DOI: https://doi.org/10.1007/s40430-017-0754-4