Due to the stochastic characteristic of photovoltaic (PV) generation, energy storage devices are indispensable to smooth the power flow and provide the electric energy with high quality. In this paper, an integrated D...
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Due to the stochastic characteristic of photovoltaic (PV) generation, energy storage devices are indispensable to smooth the power flow and provide the electric energy with high quality. In this paper, an integrated DC/DC converter is proposed to realize high performance interfaces for PV array, battery and load. This converter consists of a boost converter for the PV array and a buck/boost converter for the battery, which can realize multifunction including power generation, charge and discharge. The grid-connected and stand-alone operation modes of this converter are analyzed. From this analysis, the control strategies are developed for both modes. A coordination scheme is proposed for the power balance at the stand-alone mode. Simulation and experiments verify the practical feasibility and effectiveness of this multi-function converter.
To optimize the energy consumption during transmission in a secure remote fingerprint authentication system, most approaches have considered a fixed-rate compression of WSQ(Wavelet Scalar Quantization). To balance the...
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ISBN:
(纸本)9781424443147
To optimize the energy consumption during transmission in a secure remote fingerprint authentication system, most approaches have considered a fixed-rate compression of WSQ(Wavelet Scalar Quantization). To balance the energy consumption and the recognition accuracy, however, we need to consider the total energy consumption during compression/encryption/transmission and the quality of the given image. In this paper, we first develop an energy-accuracy prediction model. Then, from the given image, we can evaluate the quality of it. Finally, from the user's minimum requirement of the recognition accuracy, the energy-optimized compression rate under the requirement can be derived adaptively. Based on the experimental result, we show that total energy consumption of the fixed approach can be reduced by 29%.
This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset control have...
This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset control have been taken to give students a wider vision of control approaches. The client-side of the virtual laboratory has been developed using EJS (Easy Java Simulations), an open-source tool that allows creating Java applications easily. Meanwhile, the application that locally interacts with the system is written in LabVIEW. Different experiences are presented showing the advantages of advanced control strategies over PD control.
Image-guided surgery offers great advantages to surgeons through the possibility to track tools in 3D space and to navigate based on the virtual model of the patient. In the case of robot-assisted procedures, both the...
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Image-guided surgery offers great advantages to surgeons through the possibility to track tools in 3D space and to navigate based on the virtual model of the patient. In the case of robot-assisted procedures, both the inherent accuracy of the system components and the quality of the registration procedures are critical to provide high precision treatment delivery. One of the major barriers towards more technology-integrated procedures is the fact that alterations in the operating room environment can fundamentally change the performance of the system, decrease the accuracy, and therefore pose significant danger to the patient. Surgical events from the control point of view may include motion of the robot, motion of the camera, or motion of the patient. The paper describes a new concept to treat these events, to track and automatically compensate for abrupt changes that may affect the accuracy of a robot-integrated interventional system. Our solution is to use all available information at a given time, including the intra-operative tracker's internal base frame, to distinguish between different surgical events. The concept has been developed and tested on the neurosurgical robot system at the Johns Hopkins University. Initial experiments performed on data recordings from simulated scenarios showed that the algorithm was able to correctly identify the cases.
One of the advantages of model predictive control is its ability to take optimal account of information about future setpoint changes in the design of the control law. However, it is easy to show that the default opti...
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ISBN:
(纸本)9781424474264
One of the advantages of model predictive control is its ability to take optimal account of information about future setpoint changes in the design of the control law. However, it is easy to show that the default optimum GPC (Generalized Predictive control) law that uses this information can lead to a deterioration rather than an improvement in performance. This paper discusses some simple modifications to overcome this problem. Specifically the focus here is on move-blocking approaches which seek to extend the effective input horizon while restricting the number of optimisation variables. A simple algorithm is proposed which allows optimal nominal performance and tracking without the undesirable effects arising from the standard approaches;hence the proposed modification always improves algorithm performance.
In this paper we analyze stability properties of multi-agent control system in a cluttered environment with an artificial potential based on bell-shaped functions. In our approach attractive and repulsive forces creat...
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In this paper we analyze stability properties of multi-agent control system in a cluttered environment with an artificial potential based on bell-shaped functions. In our approach attractive and repulsive forces created by potential gradient have the same form which allows definition of target formation that is parameter invariant. Due to the fact that agents are identical, the proposed structure of formation potential is invariant to the interchange of agents configurations, hence, target in which particular agent would eventually end up, depends only on formation initial condition and environment structure (obstacles). We show that position of unwanted stable equilibria can be controlled by parameters that define elementary potential functions. This fact has been used for synthesis of an adaptation algorithm, such that arrival of agents at required formation is guarantied. Simulation results, presented at the end of the paper, confirm correctness of the proposed control scheme.
Preconcentrators have been much studied last years to enhance sensitivity of gas sensors. We use electro-thermal simulations to design thermal isolated membranes that supports thin film heaters as components of gas pr...
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Preconcentrators have been much studied last years to enhance sensitivity of gas sensors. We use electro-thermal simulations to design thermal isolated membranes that supports thin film heaters as components of gas preconcentrators, these heaters provide a good thermal homogeneity ensuring a narrow desorption peak and improving in this way the sensors response. We have validated our simulations with experimental results.
Lyapunov-stable nonlinear plants can be approximated by an LTI model in many cases. If this approximation is obtained then it is possible to construct a G2DOF control system. The paper presents a new approach how the ...
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Lyapunov-stable nonlinear plants can be approximated by an LTI model in many cases. If this approximation is obtained then it is possible to construct a G2DOF control system. The paper presents a new approach how the important relationships between the actuator, process and design parameters furthermore robustness measures can be determined. In this decomposition method the optimal control design for two-degree of freedom time delay control systems is discussed. Using a proper CAD algorithm the exact relationships can be plotted and the ultimate robustness limit of any control can be explicitly calculated.
We have developed electro-thermal 3D transient simulations in order to design an optimized heater for preconcentration membranes. An evaluation of parameters of simulation and boundary conditions have been done. We ha...
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We have developed electro-thermal 3D transient simulations in order to design an optimized heater for preconcentration membranes. An evaluation of parameters of simulation and boundary conditions have been done. We have validated our simulations by measuring results in fabricated heaters.
The design and performance analysis of networked control systems with random network delay in the forward channel is proposed, which are described in a state-space form. A new control scheme is used to overcome the ef...
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The design and performance analysis of networked control systems with random network delay in the forward channel is proposed, which are described in a state-space form. A new control scheme is used to overcome the effects of network transmission delay, which is termed networked predictive control (NPC). Furthermore, three different ways to choose control input are discussed and the performances are analyzed, respectively. Both real-time simulations and practical experiments show the effectiveness of the control scheme.
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