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- 저자 : A. Alasty (검색결과 2 건)
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DETECTION AND ISOLATION OF FAULTS IN THE EXHAUST PATH OF TURBOCHARGED AUTOMOTIVE ENGINES
R. SALEHI,A. ALASTY,M. SHAHBAKHTI,G. VOSSOUGHI 한국자동차공학회 2015 International journal of automotive technology Vol.16 No.1
Detection and isolation of faults in the exhaust gas path of a turbocharged spark ignition (SI) engine is an essential part of the engine control unit (ECU) strategies to minimize exhaust emission and ensure safe operation of a turbocharger. This paper proposes a novel model-based strategy to detect and isolate an exhaust manifold leakage and a stuckclosed wastegate fault. The strategy is based on a globally optimal parameter estimation algorithm which detects a virtual hole area in the exhaust manifold. The estimation algorithm requires observation of the exhaust manifold’s input and output flows. The input flow is estimated by a nonlinear Luenberger observer which is analytically shown to be robust to the faults in the exhaust manifold. The output flow of the exhaust manifold is estimated by a sliding mode observer. The designed fault detection and isolation (FDI) strategy is tested with the experimental data collected from a 1.7-liter turbocharged SI engine. The validation results show that the FDI strategy can successfully detect a leakage fault caused by a 5 mm hole in the exhaust manifold, and can identify the wastegate stuck-closed fault.
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S. Etemadi,H. Kouhi,A. Alasty,G.R. Vossoughi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper behavioral control of autonomous agents of a multi-agent system is considered. In previous paper authors presented a nonlinear approach for coordination of a group of autonomous agents by an active leader. The leader and other agents are assumed to possess limited field of view. The leader agent is able to lead the multi-agent system toward its destination only if all agents expose a quasi-static behavior. Agents as autonomous members may have higher equations of motion which can violate coordination control algorithm of the multi-agent system. To force every agent to behave as a member with quasi-static equation of motion we have designed a behavioral controller in this paper. The behavioral controller uses the local information for every agent and produces the control signal. It is based on the Sliding-mode control method so that the effect of bounded disturbances and uncertainties can be omitted as well. Once autonomous agents are equipped with the behavioral controller, the multi-agent system behaves similar to a group of agents with quasi-static behaviors and the coordination control algorithm is useable for the group.
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