With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system ...
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With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro-CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration.
The tobacco industry remains a formidable influence in thwarting tobacco control efforts, in part because industry leaders have raised policymaker and public concern about how tobacco control might negatively impact t...
The tobacco industry remains a formidable influence in thwarting tobacco control efforts, in part because industry leaders have raised policymaker and public concern about how tobacco control might negatively impact tobacco farmers. In this study, we interviewed a random, stratified sample of 528 tobacco farmers in the Southeast and 991 U.S. residents about issues related to tobacco farmers. We found that a majority of the U.S. public expressed the belief that U.S. taxpayers subsidized tobacco farmers. This belief, combined with the strong opposition to tobacco farmer subsidies (15 percent thought there should be subsidies), likely play a role in public attitudes toward tobacco farmers. At the same time, however, we found reasonably strong public support for efforts to help tobacco farmers transition to new enterprises, although the public underestimates tobacco farmer interest in diversification. For example, two of three Americans believe that the government should help farmers make a living other than growing tobacco and over half thought that taxpayers should help pay for such programs. These data illustrate potential common ground for elected officials to consider as they attempt to concomitantly address the needs of farmers and the interests of the public. Ultimately, if the interests of tobacco farmers can be made clearly to the general public, and vice versa, pro- health and pro-farmer policies might well become a reality.
An energy based control problem of the pendubot in terms of normalized quasi-velocities (NQVs) is considered in this paper. Introducing the NQVs vector together with generalized coordinates leads to first-order equati...
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An energy based control problem of the pendubot in terms of normalized quasi-velocities (NQVs) is considered in this paper. Introducing the NQVs vector together with generalized coordinates leads to first-order equations of motion with the identity mass matrix of the system. The obtained differential equations are next used to design decoupled controller for stabilizing the system around one of its unstable equilibrium position. The controller was compared analytically and in simulation to the analogous classical controller.
More advanced robotic applications require high accuracy positioning of the robot manipulator. This paper introduces a novel approach to measure the elastic deformations of robot links in order to improve its pose acc...
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ISBN:
(纸本)9781424424948
More advanced robotic applications require high accuracy positioning of the robot manipulator. This paper introduces a novel approach to measure the elastic deformations of robot links in order to improve its pose accuracy. The paper develops a model of the fiber Bragg sensors that locally measure strain. In conjunction with an finite model of the link geometry this information enables the prediction of the arm deformation. The approach opens an avenue for more advanced position control, which considers the elastic link deformations. Both models provide the basis for a systematic analysis and optimization of the spectrometer, signal processing and sensor configuration. An evolutionary algorithm optimizes the sensor locations in order to minimize the predicted deformation error. The proposed scheme is verified experimentally on an industrial manipulator.
In recent time we spot a tendency to use the computing capacity of workstation clusters instead of investing in single machines with tremendous calculation power. Applying this idea we are able to execute multiple job...
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In recent time we spot a tendency to use the computing capacity of workstation clusters instead of investing in single machines with tremendous calculation power. Applying this idea we are able to execute multiple jobs paralelly. However, it still remains unclear how to schedule given jobs among available machines most effectively. Therefore this paper is an approach to optimization of mentioned scheduling. The problem faced here is known in the literature as parallel machine earliness-tardiness scheduling (PMSP_E/T). The optimum criterion is finding the minimal sum of the weighted earliness and tardiness penalties. Due to NP-hardness of specified problem and thus difficulty in locating the optimum we propose two heuristic algorithms to find a satisfying solution: genetic with MCUOX crossover operator and tabu search. We have conducted a research to compare the effectiveness of both approaches and display their dependence on the size of examined instances. Results proove genetic approach superiority over tabu search for larger instances.
In this paper simple techniques based on nonlinear geometric transformations are presented for creating an effective 3D impression (stereovision or illusion of depth) from a single 2D original. Our aim is to propose s...
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In this paper simple techniques based on nonlinear geometric transformations are presented for creating an effective 3D impression (stereovision or illusion of depth) from a single 2D original. Our aim is to propose semi-automatic ways to transform 2D images into their suggestive but plausible 3D anaglyph versions. Three conversion methods based on a binary depth map are proposed and the influence of various RGB component shifts on the 3D impression quality is studied.
This paper considers problem of approximation of admissible trajectory for skid-steering mobile robot at kinematic level. Nonholonomic constraints at kinematic and dynamic level are taken into account. The trajectory ...
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ISBN:
(纸本)9781424420780
This paper considers problem of approximation of admissible trajectory for skid-steering mobile robot at kinematic level. Nonholonomic constraints at kinematic and dynamic level are taken into account. The trajectory tracking control problem is solved using practical stabilizer using tunable oscillator with novel method of tuning. The stability result is proved using Lyapunov analysis and takes into account uncertainty of kinematics. In order to ensure stable motion of the robot the scaling method is used. Theoretical considerations are illustrated by simulation results.
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