一种新的全镇定控制器的参数设计法研究

Youla参数化方法广泛应用于控制系统的分析和设计;此方法使得系统闭环稳定的全部的镇定控制器均以一个稳定传递函数作为待定参数来表达;建立另外一种不同的参数化方法,这种方法尤其适用于主动振动控制系统:它不仅参数化所有镇定控制器,同时能够给控制性能变量以非常直观的几何图形解释;讨论这种新方法的特性及其设计,并将该设计方法应用于一个三自由度的主动振动隔离系统中,仿真结果表明,所提出的方法可以有效地达到主动振动隔离的设计目的。     

A standards-based interoperable single sign-on framework in ARC Grid middleware

Security infrastructure is one of the most challenging tasks in the development, integration and deployment of Grid middlewares. Even though the Grid community addresses the security issue through public key infrastructures (PKI) to support mutual authentication using X.509 certificates, maintaining X.509 credentials is not that easy for non-IT-experts, and has proved to be an obstacle for a more wide deployment of Grid technologies. The identity federation is an increasingly popular technology that can facilitate cross-domain single sign-on without requiring the users to maintain any credentials additional to their own institutional accounts. We believe that utilizing identity federation for Grid middlewares is a promising path for the Grid technology to get more widely used. This paper describes a single sign-on infrastructure developed as a part of the NorduGrid ARC (Advanced Resource Connector) Grid middleware. It adopts the identity federation standard (SAML), as well as other Web Service standards. It focuses on a single sign-on solution at the middleware level for users to access Grids by only using their frequently used accounts, without being bothered to maintain X.509 credentials. Users can use their username/password only to access Grids developed in ARC middleware, as well as access Grids developed in other middlewares that requires users to provide X.509 certificates. Moreover, the single sign-on for workflow-like Grid applications (in which intermediate entities act on behalf of users) is also supported. As an important aspect of single sign-on, authorization is also considered by implementing an attribute-based authorization using SAML standard. In addition, the performance of single sign-on solution is measured. We identify performance limitations of security-related services inside this solution, and analyse the ways to avoid the limitations. To our knowledge, the work presented in this paper is the first evaluated implementation that utilizes identity federation for Grid usage on the middleware level.     

Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm

This paper presents a short term load forecasting model based on Bayesian neural network (shorted as BNN) learned by the Hybrid Monte Carlo (shorted as HMC) algorithm. The weight vector parameter of the Bayesian neural network is a multi-dimensional random variable. In learning process, the Bayesian neural network is considered as a special Hamiltonian dynamical system, and the weights vector as the system position variable. The HMC algorithm is used to learn the weight vector parameter with respect to Normal prior distribution and Cauchy prior distribution, respectively. The Bayesian neural networks learned by Laplace algorithm and HMC algorithm and the artificial neural network (ANN) learned by the BP algorithm were used to forecast the hourly load of 25 days of April (Spring), August (Summer), October (Autumn) and January (Winter), respectively. The roots mean squared error (RMSE) and the mean absolute percent errors (MAPE) were used to measured the forecasting performance. The experimental result shows that the BNNs learned by HMC algorithm have far better performance than the BNN learned by Laplace algorithm and the neural network learned BP algorithm and the BNN learned by HMC has powerful generalizing capability, it can welly solve the overfitting problem.     

带有弯曲静子的压气机数值仿真

针对某两级低速轴流压气机第一级静子通道小流量范围内存在轮毂-角区失速现象,为了提高压气机的效率,采用计算流体力学方法,对第一级静子进行了不同的弯曲变化数值仿真,分析研究了静子弯曲对压气机性能和轮毂-角区失速的影响。结果表明,弯曲叶片能够通过改变静子轮毂表面静压分布,减缓低能流体的横向流动,从而有效地抑制小流量范围内的轮毂-角区失速,压气机的压比和效率得到较大的提升。     

虚拟样机建模求解联合仿真研究

在机械臂的优化设计中,为了提高机械臂的效率,采用了一整套虚拟样机仿真技术。首先在PROE中构建了七自由度机械臂的三维实体模型;然后将其导入ADAMS动力学自动分析软件中进行动力学分析,将ADAMS中仿真出的力和速度曲线进行合成后得到的功率曲线与从物理样机上实测出的功率结果进行比较,进而验证ADAMS中得出的分析数据真实可信;最后研究了基于MATLAB和ADAMS的联合仿真,并以该机械臂为例通过PID策略较好地实现了机械臂的关节定位控制。改进方法对机械臂的开发和改造有一定的指导意义,并且为后续机械臂的研究奠定了基础。     

Synthesis and microwave characterization of Co-SiC core-shell powders by electroless plating

Co-SiC core-shell powders were prepared by electroless plating. Scanning electron microscopy （SEM） revealed that Co-SiC core-shell powders were of nearly sphere-like shape and were about 0.3 pan. X-ray powder diffraction （XRD） patterns showed that the cobalt powder was hexagonal crystallite. The complex dielectric constant and the complex permeability of Co-SiC core-shell powders-paraffin wax composite were measured by the rectangle wavegnide method. It showed that the dielectric loss was less than 0.1 and the magnetic loss was about 0.2 in 8.2-12.4 GHz for prepared Co-SiC core-shell comoosite oowders.     

基于绿色证书交易机制的含风电场电力系统动态环境经济调度

为了促进风电消纳以及提高电力系统的经济性,构建基于绿色证书交易机制的含风电场电力系统多目标动态环境经济调度（DEED）模型,提出一种基于反向学习混沌搜索的OLCS-MOEA/D算法的DEED调度求解方法。首先,采用广义反向学习初始化种群提高种群多样性,并引入基于Logistic映射的混沌搜索算法以增强算法局部搜索能力。然后,为了验证算法的性能,采用标准测试函数F1—F7进行测试,同时将该算法对模型进行求解,获得了比其他算法范围更广和分布均匀的Pareto解集前沿。最后,对基于绿色证书交易机制的动态环境经济调度与传统动态环境经济调度进行结果对比分析,通过仿真算例验证该模型和算法的有效性和优越性。     

多元QoS约束下电力通信无线资源分配的边缘代理调度方法

为满足不同配电通信业务的服务质量要求,BS需要在时变网络条件下实时优化无线资源。提出一种基于级联深度网络的接入网无线资源边缘代理调度方法,将时频资源和发射功率分配给延迟耐受度不同的业务。核心网采用网元功能与专用硬件设备解耦的软切片方法,在保证负荷在规定时长内可靠切除的同时,提高了核心网服务器对不同业务的时空间复用能力。仿真结果表明,多业务并列运行时RTU与协控子站间的接入时延与TD-LTE专网相比降低40.76%,相邻第一第二信道间的功率泄露比均高于45 dB,满足毫秒级负荷切除业务分路整组动作时延和通信可靠性的要求。     

基于交通信息和配电网全成本电价的电动汽车充电负荷调度方法

电动汽车的集中充电行为会在一定程度造成交通拥堵,为解决这一问题,综合考虑交通信息和电网信息,基于边际定价理论得到配电网节点边际电价和交通阻塞成本,构建电动汽车充电的全成本电价模型。在此基础上,提出一种考虑交通信息和配电网全成本电价的电动汽车充电负荷调度方法。通过仿真算例验证,该方法在满足电动汽车充电需求的同时可以有效缓解交通拥堵。