A high frequency transformer is a critical component in a dual active bridge converter (DAB) used in a power electronics-based solid state transformer. Operation of a DAB converter requires its transformer to have a s...
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A high frequency transformer is a critical component in a dual active bridge converter (DAB) used in a power electronics-based solid state transformer. Operation of a DAB converter requires its transformer to have a specific amount of winding leakage inductance. The demand for high efficiency requires minimization of transformer copper loss and core loss. Furthermore, available window area limits the winding arrangement of transformer. A hybrid of particle swarm optimization (PSO) and differential evolution (DE) is proposed to solve this multi-objective problem with constraints. DE provides diversity to pbest of each particle, which is missing in standard PSO. The differential evolution particle swarm optimization (DEPSO) algorithm is applied to find optimal transformer designs for DAB converters. Results show the DEPSO method is a generic effective way to find optimal high frequency transformer design.
We are extremely pleased to present this special issue of the Journal of Control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adap...
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We are extremely pleased to present this special issue of the Journal of Control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.
In this paper, an obstacle avoidance method and a fuzzy control, together with a distributed system of embedded microcontrollers, are presented. In the real-time control, a wheeled mobile robot (WMR), Pioneer 3-DX, fr...
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In this paper, an obstacle avoidance method and a fuzzy control, together with a distributed system of embedded microcontrollers, are presented. In the real-time control, a wheeled mobile robot (WMR), Pioneer 3-DX, from Mobile Robots, has been used. The solution adopted can be easily ported for the implementation of an intelligent wheelchair, capable either to carry an elderly or disabled person, or to move independently in a smart environment, as a sensorial extension of the assisted individual. A number of control modules are located on the mobile robot, while others are deployed in an intelligent environment. This solution can significantly reduce the cost of developing a personal robotic assistant (PRA) for the elderly and disabled. The structure of the real-time setup is described in detail, as well as the main algorithms used for each individual task: path following, obstacle avoidance, data acquisition. Also, an obstacle avoidance system, based on ricochet method, named “the bubble rebound method”, is presented.
The expression of reactive behaviour is a significant and important requirement in robotic software engineering, since robots must cope with a wide range of unpredictable events and environments. However it is importa...
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The expression of reactive behaviour is a significant and important requirement in robotic software engineering, since robots must cope with a wide range of unpredictable events and environments. However it is important that the semantics for reactive expression can be used across different architectures and languages. The RADAR robot programming language provides architecture- and language-independent semantics for managing the reactive parts of robot software together with the deliberative parts, allowing greater interaction between the two. We evaluate the architecture-independence of RADAR, as an example, by implementing its reactive semantics using the OpenRTM-aist component-based, distributed architecture. Our goal is to evaluate what limitations the choice of implementation environment may place on the capabilities of such an architecture-independent semantics. In our implementation, we aimed to produce a standard OpenRTM-aist system using the RADAR semantics. We have found that the architecture-independent semantics concept works well in the case of RADAR, although some specific improvements are needed for full interaction between deliberative and reactive sections of robotic software.
Multi-Channel MAC protocols increase network throughput because multiple data transfers can take place simultaneously. However, existing Multi-Channel MAC protocols do not take full advantage of the multi-channel envi...
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ISBN:
(纸本)9781424451753
Multi-Channel MAC protocols increase network throughput because multiple data transfers can take place simultaneously. However, existing Multi-Channel MAC protocols do not take full advantage of the multi-channel environment, because they lack a mechanism allowing wireless stations to acquire vacant channel and time resources. In this paper, to achieve further throughput increase, we newly propose the Multi-Channel MAC protocols that effectively utilize idle channels and potentially available time of stations by employing burst and interrupted frame transfers, under the condition that each station can use only two transceivers. We assume a transceiver can behave as either a transmitter or a receiver at a time. We show the effectiveness of the proposed methods by computer simulation. Furthermore, through the evaluation as to more than two transceivers' case, we confirm two transceivers' case is best solution in terms of both attained throughput and hardware complexity.
To solve the problem of modeling the horizontal translational motion of a Raptor 30 based miniature helicopter near hovering, a black-box model is built based on echo state networks. Combined with a state space angula...
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ISBN:
(纸本)9787894631046
To solve the problem of modeling the horizontal translational motion of a Raptor 30 based miniature helicopter near hovering, a black-box model is built based on echo state networks. Combined with a state space angular motion model, a four-degree-of-freedom hybrid model is created. System identification is done using the remote control experiment data. Model validation results demonstrate that the model can predict the motion of the miniature helicopter near hovering on the whole. The model can be used to optimize parameterized controller. Closed-loop simulation further validates the model.
In the few last years, there is an increasing need of QoS guarantees for multimedia and real time applications in mobile ad hoc networks. While several QoS routing protocols were proposed, adaptive routing has not be ...
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In the few last years, there is an increasing need of QoS guarantees for multimedia and real time applications in mobile ad hoc networks. While several QoS routing protocols were proposed, adaptive routing has not be enough exploited. This paper introduces a new multipath quality of service (QoS) routing protocol for mobile ad-hoc networks (MANETs) called QoSBeeManet. Based on the autonomic bee communication principle, the protocol guarantees, in addition to the basic routing functionality, a set of measurable QoS metrics used for multimedia and real time applications. To reduce the network congestion, QoSBeeManet uses a stochastic broadcasting of scouts as routing packets. Moreover, an evaluation of each discovered path is executed and is taken into account by the source node in the aim to transmit fairly data packets through the paths found. The simulation results reached in NS2 were compared to the conventional AODV and DSR routing protocols and have shown that QoSBeeManet has improved the average bandwidth and has reduced the average end-to-end delay. In addition, packet delivery ratio and routing protocol overhead were very close to those of AODV and DSR.
Energy efficiency is very important for wireless sensor network (WSN). This paper presents an evolutionary self-learning scheduling approach (ESSA) to reduce energy consumption for WSN. The ESSA is based on a new...
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Energy efficiency is very important for wireless sensor network (WSN). This paper presents an evolutionary self-learning scheduling approach (ESSA) to reduce energy consumption for WSN. The ESSA is based on a new proposed scheme - evolutionary Q-learning with continuousaction (EQC) approach, which combines an extension of Q-learning method with particle swarm optimization (PSO) algorithm. The action space of EQC is partitioned into lots of subintervals. And each endpoint of the subintervals is characterized by a discrete action value and a Q-value. The continuous action value is the weighted average of discrete actions according to their Q values. The PSO algorithm is combined to let an agent profit the experience of other agents. We valid the ESSA in a MAC protocol and simulation results show that the ESSA is an effective method and performs much better than SMAC protocol.
In order to save volume of home energy consumption effectively, this paper proposes the method for being aware of factors with influence on energy consumption and then confirms if it works for practical data by numeri...
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In order to save volume of home energy consumption effectively, this paper proposes the method for being aware of factors with influence on energy consumption and then confirms if it works for practical data by numerical experimentation. The basic idea is based on the combination of information entropy for the former and on Bayesian network for the latter. Using 345 responses for the questionnaire which include twenty four months home energy consumption log and thirteen factors (house attributes, consumer attributes and consumer consciousness), the proposed method has found that the factor “house structure” has biggest influence on energy consumption. Moreover, it has found the combination of factors which have influence on energy consumption.
This paper considers the problem of using an integral sliding mode strategy to reduce the disturbance terms acting on nonlinear systems in regular form. It is proved that the definition of a suitable sliding manifold ...
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