ESDA2004-58427 MODELING AND ANALYSIS OF AN ULTRA LIGHT SLOW FLYER WITH VARIABLE SHAPE CONTROL SURFACES USING SHAPE MEMORY ALLOY ACTUATORS

ABSTRACT Applying flexible variable shape control surfaces (wing and elevator) structures is a way to increase efficiency and maneuverability of the planes, which is recently under research. In this paper, modeling of the flight of an unmanned ultra light plane is discussed. The modeling is done based on a real ultra light plane presented recently. To increase maneuverability of the plane, flexible variable shape structures are designed for the wing and the elevator. In design procedure, having an ultra light plane is considered. The elevator and the wing are used as control surfaces for longitudinal and lateral maneuvers respectively. Shape memory alloys (SMA) are used for reshaping the flexible structures of the wing and the elevator. Because of its high power and low weight and nearly unlimited resolution, SMA is best suited as the actuator of the reshaping wing and elevator structures. In flight dynamic modeling of an ultra light plane with variable shape wing, aerodynamic coefficients are needed. Coefficients are computed using computational fluid dynamics (CFD). To determine the reshaped structures, finite element models of structures are constructed in ANSY

Data for: Dynamic Stability and Control of a Novel Handspringing Robot

different parameters of each limit cycl

Detection and isolation of faults in the exhaust path of turbocharged automotive engines

© 2015, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg. 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

Control oriented modeling of a radial turbine for a turbocharged gasoline engine

This paper presents a control oriented model for predicting turbine major variables in a turbocharged spark ignition engine. The turbine is simulated as a two-nozzle chamber where the pressure ratio over the two nozzles is not the same. A convex nonlinear estimation algorithm is formulated to determine the relation between these pressure ratios. The new model is experimentally validated with transient and steady state data collected from a 1.7 liter gasoline engine. The results show the new model can predict the turbine mass flow with an average error of 1.4%. In addition, the application of the turbine model is illustrated for the design of a nonlinear observer to estimate the turbocharger non-measured variables. The designed observer is tested against experimental data and the results confirm the observer capability to estimate the turbine rotor speed, flow over the compressor and temperature downstream the compressor. © 2013 AACC American Automatic Control Council

Nonlinear observer design for turbocharger in a SI engine

Estimation of major turbocharger variables is essential for proper control and monitoring of a turbocharged engine. This work presents a novel algorithm to estimate turbocharger rotator speed, air temperature downstream a compressor and flow rate over the compressor using mean value models of engine subsystems. A nonlinear Luenberger observer is designed for a 1.7-lit gasoline turbocharged engine. The designed observed is shown analytically to be asymptotically stable. Performance of the designed observer is experimentally validated with the data collected from the engine. The results indicate the observer can capture major turbocharger\u27s rotational dynamics and estimated turbocharger variables are in a good agreement with the experimental measurements. © 2013 AACC American Automatic Control Council

Nonlinear dynamic of MicroResonators

The variation of effective parameters in Micro Electro Mechanical Systems strongly affects their performance, design, and control. Hence, it is essential to understand and model the effective parameters in MEMS devices to optimize their designs. Typical MEMS (Microresonator) employ a parallel-plate capacitor, in which one plate is actuated electrically and its motion is detected by capacitive changes. In this paper we investigate nonlinear modelling of microresonators. The nonlinearities from capacitor (quadratic) and midplane stretch were considered for this purpose. The achieved microbeam's equations are nondimensionalized and by using the multiple scales method received to the equations which identified the relations between system dynamics and effective parameters of system. In other part of this paper we expand the Fuzzy Generalized Cell Mapping (FGCM) for multiparameter systems then apply FGCM to the microresonator and see how the uncertainties can affect the working domain of dynamical systems. It can be seen FGCM is so useful method for detecting the working region with variation of parameters