Timely and reliable detection of controller malfunction is a crucial task in all control systems. In flight control, it is even more crucial, since the cost of controller malfunction is potentially very high. Aircraft...
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ISBN:
(纸本)1563477378
Timely and reliable detection of controller malfunction is a crucial task in all control systems. In flight control, it is even more crucial, since the cost of controller malfunction is potentially very high. Aircraft Flight Control computers (FCCs) are typically implemented with redundant processing elements in order to mask random independent component failures. However, redundancy alone does not mask the effects of common-cause disturbances, such as lightning and High-Intensity Radiated Fields (HIRF), that can affect the functional integrity of all processing channels. This paper presents a distributed detection scheme with data fusion for monitoring the function of redundant processing channels of a flight critical controller during operation. Malfunctions in the system are non-Gaussian and can be detected and isolated to the control command calculation in the specific faulty channel. Three approaches for detecting errors in the control law calculations of each processor (i.e. the local detector) are presented: (1) Kalman Filter estimates are used to generate residuals which are then tested against a 3-a threshold;(2) Kalman Filter estimates are used to generate residuals which are then processed using an AR-predictive smoothing filter, and the sample variance of the raw residuals is also calculated;and (3) local detector design is based on state estimation by particle filtering. The implementation of the detection scheme using each of these approaches for the local detector in the context of distributed detection with data fusion is demonstrated using data collected during closed-loop HIRF system effects experiments on a quad-redundant FCC executing Autoland control laws under flight conditions with heavy clear air turbulence. The performance of the monitoring system using each of these local detector approaches is assessed.
Mobility in single-grain and polycrystalline organic field-effect transistors (OFETs) is of interest because it affects the performance of these devices. While reasonable values of the hole mobility has been measured ...
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Mobility in single-grain and polycrystalline organic field-effect transistors (OFETs) is of interest because it affects the performance of these devices. While reasonable values of the hole mobility has been measured in pentacene OFETs, relatively speaking, our understanding of the detailed transport mechanisms is somewhat weak and there is a lack of precise knowledge on the effects of the materials parameters such as the site spacing, the localization length, the rms width of the density of states (DOS), the escape frequency, etc. This work attempts to analyze the materials parameters of pentacene OFETs extracted from data reported in the literature. In this work, we developed a model for the mobility parameter from first principle and extracted the relevant materials parameters. According to our analyses, the transport mechanisms in the OFETs are fairly complex and the electrical properties are dominated by the properties of the trap states. As observed, the single-grain OFETs having smaller values of the rms widths of the DOS (in comparison with the polycrystalline OFETs) also had higher hole mobilities. Our results showed that increasing the gate bias could have a similar but smaller effect. Potentially, increasing the escape frequency is a more effective way to raise the hole mobility and this parameter appears to be affected by changes in the molecular structure and in the degree of "disorder".
Consider a source network in which a finite alphabet source X = {X i}i=0∞ is to be encoded and transmitted, and another finite alphabet source Y = {Yi}i=0∞ available only to the decoder as the side information corre...
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ISBN:
(纸本)0780391519
Consider a source network in which a finite alphabet source X = {X i}i=0∞ is to be encoded and transmitted, and another finite alphabet source Y = {Yi}i=0∞ available only to the decoder as the side information correlated with X. Traditionally the channel between the encoder and decoder in the source network is assumed to be one-way. This, together with that the encoder does not have access to Y, necessitates that the encoder knows the achievable rates before encoding. In this paper we consider universal source coding for a feedback source network in which the channel between the encoder and decoder is two-way and asymmetric. Assuming that the encoder and decoder share a random database that is independent of both X and Y, we propose a string matching-based (variable-rate) block coding algorithm with a simple progressive encoder for the feedback source network. This algorithm does not need to know the achievable rates at the beginning of encoding. It is proven that for any (X, Y) in a large class of sources which includes the class of all memoryless sources, the class of all aperiodic Markov sources, and a large class of finite-state sources as special subclasses, the average number of bits per letter transmitted from the encoder to the decoder (compression rate) goes arbitrarily close to the conditional entropy H(X|Y) of X given Y asymptotically, and the average number of bits per letter transmitted from the decoder to the encoder (feedback rate) goes to 0 asymptotically.
This paper presents a stability analysis of the iterative learning control (ILC) problem when the plant Markov parameters are subject to interval uncertainty. Using the super-vector approach to ILC, vertex Markov matr...
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Range identification using image sequence via observations from a traditional camera-type vision system has been discussed in the literature. In this paper, the camera-type planar imaging surface is extended to severa...
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This paper focuses on the adaptive friction compensation, where the friction is considered as a position-dependent disturbance. We consider the case when the desired trajectory is state (e.g., position) periodical whi...
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This paper focuses on the adaptive friction compensation, where the friction is considered as a position-dependent disturbance. We consider the case when the desired trajectory is state (e.g., position) periodical which is of course also time periodical. The key idea of our approach is to use one trajectory past information along the state axis to update the current adaptation since the friction is state-periodic. The new method consists of two main steps: Firstly, in the first repetitive trajectory, an adaptive compensator is designed to guarantee the l 2 - stability of the overall system; and secondly, from the second repetitive trajectory and onwards, a state-periodic adaptive compensator is designed based on stored past state-dependent information. Rigorous stability analysis is presented with a simulation example.
Enhancement of light extraction in GaN light-emitting diodes (LEDs) employing omnidirectional reflectors (ODRs) is presented. The ODR consists of GaN, ITO nanorod low-refractive-index layer, and an Ag layer. An array ...
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Enhancement of light extraction in GaN light-emitting diodes (LEDs) employing omnidirectional reflectors (ODRs) is presented. The ODR consists of GaN, ITO nanorod low-refractive-index layer, and an Ag layer. An array of ITO nanorods is deposited by oblique-angle deposition using e-beam evaporation. The refractive index of the ITO nanorods is 1.34 at 461 nm, significantly lower that that of dense ITO, which is n = 2.06 at 461 nm. It is experimentally shown that the GaN LED with GaN/ITO nanorods/Ag ODR show much better electrical properties and higher light-extraction efficiency than LEDs with Ag contact. This is attributed to enhanced reflectivity of the ODR by using an ITO low-refractive-index layer with high transparency, high conductivity, and low refractive index.
This paper presents an H∞-based design technique for synthesis of higher-order iterative learning controllers (ILC) for plants subject to iteration-domain input/output disturbances and plant model uncertainty. Using ...
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This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows t...
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This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.
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