基波等效法是无线电能传输(wireless power transfer,WPT)技术的主要研究方法,该方法将整流性负载的基波阻抗等效为某一纯电阻,为系统的建模和分析提供基础。但该方法忽略整流性负载谐波阻抗的影响,使WPT系统的实际响应与理论分析结果...基波等效法是无线电能传输(wireless power transfer,WPT)技术的主要研究方法,该方法将整流性负载的基波阻抗等效为某一纯电阻,为系统的建模和分析提供基础。但该方法忽略整流性负载谐波阻抗的影响,使WPT系统的实际响应与理论分析结果存在较大的误差,从而影响系统的模型精度,限制WPT系统的进一步优化设计。该文以基于串/串并(series/series-parallel,S/SP)补偿网络的WPT系统为研究对象,分析利用基波等效法进行建模产生误差的原因,并提出一种基于迭代法的整流性负载基波以及各次谐波等效阻抗的精确计算方法。在此基础上,建立WPT系统的精确电路响应模型,所提模型可以有效表征发射线圈电流的畸变特性,并根据系统响应与补偿网络参数的关系获得系统逆变器开关损耗的优化设计方法。最后,搭建一台3kW的WPT系统样机,实验结果验证理论分析的正确性和可行性。展开更多
In multi-hop cognitive radio networks （ CRNs）, the heterogeneous environment increases the complexity of common control channel （CCC） formation and routing protocol design. In this paper, we consider the on-demand...In multi-hop cognitive radio networks （ CRNs）, the heterogeneous environment increases the complexity of common control channel （CCC） formation and routing protocol design. In this paper, we consider the on-demand routing protocol transmits over CCC. However, since CR transceivers （secondary users） have different available channel sets and it must vacate the licensed channel when a primary user arrives, forming a CCC becomes a main challenge in routing protocol design for CRNs. Our proposed CCC formation algorithm is based on a spectrum-tree structure, which consists of all cluster heads in CRNs. The cluster heads are with smaller moving range and lower mobility, and also act as a router in the whole network which maintains information of its cluster. Hence, a route is constituted in part by a set of cluster-head identity （ID） numbers, which represent the spe- cific cluster heads the path traverses, and in part by a set of member nodes ID numbers, which are included in the clusters containing the source and destination nodes. Due to high mobility and dynamic available spectrum, we define the stability parameters of path as two parts. One stability parameter is mobility factor, which represents the probability that a pairwise node can keep in communication range for the next flow transmission. The another stability parameter is spectrum opportunistic （SOP） factor, which represents the probability that a pairwise links can obtain the assigned spectrum band for the next flow transmission. Simulation results show that CCC formation algorithm produces a high probability of CCC formation, and the proposed routing protocol performs better than typical routing protocols.展开更多
Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation n...Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation neural network(BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang's E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ0, K, Rf, and Kb are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.展开更多
文摘基波等效法是无线电能传输(wireless power transfer,WPT)技术的主要研究方法,该方法将整流性负载的基波阻抗等效为某一纯电阻,为系统的建模和分析提供基础。但该方法忽略整流性负载谐波阻抗的影响,使WPT系统的实际响应与理论分析结果存在较大的误差,从而影响系统的模型精度,限制WPT系统的进一步优化设计。该文以基于串/串并(series/series-parallel,S/SP)补偿网络的WPT系统为研究对象,分析利用基波等效法进行建模产生误差的原因,并提出一种基于迭代法的整流性负载基波以及各次谐波等效阻抗的精确计算方法。在此基础上,建立WPT系统的精确电路响应模型,所提模型可以有效表征发射线圈电流的畸变特性,并根据系统响应与补偿网络参数的关系获得系统逆变器开关损耗的优化设计方法。最后,搭建一台3kW的WPT系统样机,实验结果验证理论分析的正确性和可行性。
文摘In multi-hop cognitive radio networks （ CRNs）, the heterogeneous environment increases the complexity of common control channel （CCC） formation and routing protocol design. In this paper, we consider the on-demand routing protocol transmits over CCC. However, since CR transceivers （secondary users） have different available channel sets and it must vacate the licensed channel when a primary user arrives, forming a CCC becomes a main challenge in routing protocol design for CRNs. Our proposed CCC formation algorithm is based on a spectrum-tree structure, which consists of all cluster heads in CRNs. The cluster heads are with smaller moving range and lower mobility, and also act as a router in the whole network which maintains information of its cluster. Hence, a route is constituted in part by a set of cluster-head identity （ID） numbers, which represent the spe- cific cluster heads the path traverses, and in part by a set of member nodes ID numbers, which are included in the clusters containing the source and destination nodes. Due to high mobility and dynamic available spectrum, we define the stability parameters of path as two parts. One stability parameter is mobility factor, which represents the probability that a pairwise node can keep in communication range for the next flow transmission. The another stability parameter is spectrum opportunistic （SOP） factor, which represents the probability that a pairwise links can obtain the assigned spectrum band for the next flow transmission. Simulation results show that CCC formation algorithm produces a high probability of CCC formation, and the proposed routing protocol performs better than typical routing protocols.
基金supported by the National Natural Science Foundation of China(Grant Nos.51579086,51479054,51379068&51139001)Jiangsu Natural Science Foundation(Grant No.BK20140039)the Priority Academic Program Development of Jiangsu Higher Education Institutions(Grant No.YS11001)
文摘Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation neural network(BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang's E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ0, K, Rf, and Kb are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.
