Evolutionary membrane computing is an important research direction of membrane computing that aims to explore the complex interactions between membrane computing and evolutionary computation. These disciplines are rec...
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Due to the energy crisis of the next fifty years, an increasing number of large-scale wind farms are integrating into power systems. Parallel simulation platforms are indispensable to evaluate the effects of wind farm...
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ISBN:
(纸本)9781479936571
Due to the energy crisis of the next fifty years, an increasing number of large-scale wind farms are integrating into power systems. Parallel simulation platforms are indispensable to evaluate the effects of wind farm integration. A GPU-based parallel simulation platform is constructed in this paper to test the feasibility of simulating integration systems on GPU. By adopting previous research work such as averaged model and improved EMTP algorithm, models and algorithm of the platform are firstly introduced. Then the hardware and software architecture of the platform are put forward, which combine CPU configuration and GPU computing. Finally, a wind farm with different numbers of DFIGs are used to test the performance of the platform. Results show that the platform has excellent accuracy, efficiency and scalability. The work of this paper proves the feasibility to simulate wind farm integrating dynamics adopting GPU and its potential to reach tremendous efficiency and scalability.
In networked controlsystems (NCS), the communication between sensors, controllers, and actuators is supported by a shared communication channel that is subject to variable communication delays, limited bandwidth, pac...
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Optimization problems with variables constrained to be in SO(d)--orthogonal matrices with determinant one--arise in attitude estimation, molecular imaging, and computer vision applications, among others. Recently it h...
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ISBN:
(纸本)9781467360890
Optimization problems with variables constrained to be in SO(d)--orthogonal matrices with determinant one--arise in attitude estimation, molecular imaging, and computer vision applications, among others. Recently it has been shown that the convex hull of SO(d) can be described in terms of linear matrix inequalities. This allows us to devise new semidefinite programming-based reformulations and relaxations of problems involving rotation matrices. In this paper we illustrate the use of these techniques for two different types of optimization problems over SO(d). The first type of problem arises in jointly estimating the attitude and spin-rate of a spin-stabilized satellite. We show how to exactly reformulate such problems as semidefinite programs. The second type of problem arises when estimating the orientations of a network of objects (such as cameras, satellites or molecules) from noisy relative orientation measurements. For this class of problems we formulate new semidefinite relaxations that are tighter than those existing in the literature, and show that they are exact when the underlying graph is a tree.
The evolution of Web 3.0 and consequently eLearning 3.0 have demanded a major change of the way learning objects are provided and implemented. It is foreseen that learning objects in eLearning 3.0 should be interopera...
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The evolution of Web 3.0 and consequently eLearning 3.0 have demanded a major change of the way learning objects are provided and implemented. It is foreseen that learning objects in eLearning 3.0 should be interoperable and easily discovered, and will represent any kind of virtual or physical object. Several approaches attempted to implement remote Laboratories as a Service (LaaS) in order to achieve such interoperability and to allow their integration into heterogeneous educational systems for pedagogical purposes and for more convenience, as well as, their coupling and mashing up with other learning objects in order to yield a scaffold and rich educational environment. This paper provides a broad study on the available middleware solutions for service-oriented remote laboratories implementation, emphasizing the pros and cons of each and the upcoming challenges in developing service-oriented remote laboratories.
In this paper, a plug-in electric vehicle battery charger is proposed based on SEPIC PFC and LLC topologies. In addition, a new approach in introduced to actively control the dc link voltage and track the maximum effi...
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ISBN:
(纸本)9781479923250
In this paper, a plug-in electric vehicle battery charger is proposed based on SEPIC PFC and LLC topologies. In addition, a new approach in introduced to actively control the dc link voltage and track the maximum efficiency point of a LLC converter over the wide voltage range of the high voltage battery pack Comprehensive circuit modeling and loss analysis at maximum efficiency point of LLC converter are carried out. A 3.3 kW charger, charging the Li-ion battery with an output voltage range of 100 V to 420 V from variable dc link voltage, is designed and simulated. In comparison to conventional approaches, the LLC stage demonstrates 4.4% efficiency improvement at the heaviest load condition and 16.5% efficiency improvement in the lightest load condition.
The Z-source neutral point clamped (NPC) inverters can realize buck-boost energy conversion with all satisfying advantages of the three-level inverters. A significant problem related to this topology is the fluctuatio...
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ISBN:
(纸本)9781479940318
The Z-source neutral point clamped (NPC) inverters can realize buck-boost energy conversion with all satisfying advantages of the three-level inverters. A significant problem related to this topology is the fluctuation of the neutral-point potential (NP). However, the previous modulation techniques for this topology cannot achieve the considerate stable voltage. In this paper, based on the analysis of the relationship among the shoot-through duty cycle and the NP voltage, the average NP current, switching frequency capacitor value, a new feed-forward compensator by modifying the shoot-through duty cycle which can improve to balance the NP voltage balancing is proposed. Meanwhile, in consideration of a low voltage gain caused by the NP voltage balance method, a new control method based on a maximum constant boost control method is proposed, which brings the benefits in both high voltage gain and low-frequency ripple. The considerate stable NP voltage and the high voltage gain have been proven in simulation and through experimental results from a prototype converter.
The necessity of improving the air traffic and reducing the aviation emissions drives to investigate automatic steering for aircraft to effectively roll on the ground. This paper addresses the path following control p...
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The necessity of improving the air traffic and reducing the aviation emissions drives to investigate automatic steering for aircraft to effectively roll on the ground. This paper addresses the path following control problem of aircraft-on-ground and focuses on the task that the aircraft is required to follow the desired path on the runway by nose wheel automatic steering. The proposed approach is based on dynamical adaptive backstepping so that the system model does not have to be transformed into a canonical triangular form which is necessary in conventional backstepping design. This adaptive controller performs well despite the lack of information on the aerodynamic load and the tire cornering stiffness parameters. Simulation results clearly demonstrate the advantages and effectiveness of the proposed approach.
A multi-cluster tool is composed of a number of single-cluster tools linked by buffering modules. The capacity of a buffering module can be one or two. Aiming at finding an optimal one-wafer cyclic schedule, this work...
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This paper studies the problem of countering the fluctuations of renewable power supply in smart grid. A fully distributed algorithm to control a network of thermostatically controlled loads (TCLs) is proposed to matc...
This paper studies the problem of countering the fluctuations of renewable power supply in smart grid. A fully distributed algorithm to control a network of thermostatically controlled loads (TCLs) is proposed to match, in real time, the aggregated power consumption of the TCLs and the forecast power supply. The algorithm is developed by converting the control problem into a consensus problem of individual utility functions. We then show that the problem is equivalent to a convex optimization problem and an algorithm based on distributed bisection method is presented to solve the problem. The proposed algorithm converges fast and is fully distributed, requiring only local information for each TCL and limited communication with neighboring TCLs, yet the available power supply is fairly dispatched among different TCLs. A numerical example is given to illustrate the effectiveness of the algorithm when applied to a network of variable-frequency air-conditioners (VFACs).
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