基于ARID控制系统的固定式海洋风机纵摇控制

针对固定式海洋风机在随机风浪载荷及其联合作用下产生的具有倒立摆运动特征的纵摇,研究采用主动转动惯量驱动系统(Active Rotary Inertia Driver, ARID)对海洋风机纵摇进行控制的问题。ARID控制系统通过伺服电机驱动转动惯性质量产生控制结构摆动的最优力矩,从而减小海洋风机的纵摇运动。基于拉格朗日原理建立海洋风机-ARID控制系统的理论分析模型;采用Simulink对海洋风机-ARID控制系统的有效性进行验证,并分析系统参数(控制算法参数、转动惯量比等)对控制效果的影响规律;设计海洋风机-ARID控制系统的振动台试验,设置多种载荷激励形式,验证控制系统的稳定性与广谱有效性。数值模拟和试验结果均验证了所建立的分析模型的正确性,表明ARID控制系统对风机的纵摇运动具有显著的控制作用,为ARID控制系统在具有倒立摆运动规律的工程结构中的应用奠定理论基础。     

活性元素Ti在CBN与钎料结合界面的特征

通过扫描电镜、能谱仪、X射线衍射仪研究了Ag-Cu-Ti钎料中的活性元素Ti在钎料与立方氮化硼（CBN）磨粒高温钎焊结合界面的扩散现象，并运用动力学分析对界面反应层的生长过程及反应激活能进行了探讨。结果表明：钎焊过程中，钎料中的活性元素Ti明显向磨粒侧扩散偏聚并发生化学反应，实现了磨粒与基体材料的牢固结合；钎焊CBN磨粒表面生成的TiB2和TiN化合物形貌接近平衡状态下生长的理想形貌；界面反应层在钎焊温度1153K～1193K，保温时间5min～20min之间依据抛物线生长法则所得扩散激活能值表明其生长过程主要受新生TiN影响。     

Development of the active balancing device for high-speed spindle system using influence coefficients

A high-speed spindle can be very sensitive to rotating mass unbalance which has harmful effect on many types of rotating machinery. Therefore, the balancing procedure is certainly needed to reduce vibration in all high-speed rotating systems. In this study, an active balancing program using influence coefficient method and an active balancing device of an electro-magnetic type with both simple and reliable structures were applied to the developed high-speed spindle system. A gain scheduling control using influence coefficients of the reference model was proved to be effective in balancing the spindle system although its characteristics were changed. The stability of reference influence coefficients was verified by experiments with frequency response functions. The active balancing experiment of the manufactured spindle system using an active balancing program and device was also performed efficiently during the operation. As a result, controlled unbalance responses after balancing work were below the vibration limit at all rotating speed ranges including critical speeds.     

液压流体脉动主动控制研究现状与展望

液压流体脉动对液压系统的性能与可靠性影响很大。为了减小甚至消除液压流体脉动,各国学者在这方面做了大量工作,提出了各种主动及被动消振策略,取得了很好的消振效果。本文介绍液压流体脉动产生机理及危害、主动消振策略、目前的研究现状以及主要控制算法,提出了可能的研究方向,并对应用前景进行展望。     

MPC-based dual control with online experiment design

We present two dual control approaches to the model maintenance problem based on adaptive model predictive control (mpc). The controllers employ systematic self-excitation and design experiments that are performed under normal operation, resulting in improved control performance with smaller output variance and less control effort. Our control formulations offer a novel approach to the question of how to excite the plant input to generate informative data within the context of mpc and adaptive control. One controller actively tries to reduce the parameter-estimate error covariances; the other controller maximizes the information in the signals for enhanced learning. Our approach differs from existing ones in that we let our controllers converge to standard certainty equivalence (ce) mpc when the parameter uncertainty decreases or more information is generated, and as a result we avoid plant excitation when the uncertainty is low or enough information has been generated. We demonstrate that the controllers work well with a large number of tuning configurations and also address the issue of models that are not admissible for control design.     

基于移动应用层组播终端主动反馈的自适应负载均衡机制研究

在移动应用层组播通信中,热点地区可能会因用户过多而导致用户流服务满意度降低,非热点地区却可能会出现资源浪费现象,引起整个系统性能下降.提出了一种基于移动终端主动反馈的自适应负载均衡机制(Adaptive Load Balancing Mechanism based Mobile Terminal Active Feedback,ALBM-MTAF).ALBM-MTAF利用网络相关性能指标模拟移动终端(用户)所获得的流媒体服务满意度(Streaming Media Service Satisfaction,SMSS),通过终端用户主动反馈SMSS不断进行自适应的调整,将SMSS较差地域的子节点切换到SMSS较好的父节点上,从而实现整个系统的负载均衡.模拟实验表明,该机制具有良好的负载均衡效果,并能保证通信的质量.     

基于半监督聚类的文档敏感信息推导方法

针对当前多文档聚合推导引起的敏感信息泄露问题存在风险大、隐蔽性高的特点,提出了一种基于半监督聚类的文档敏感信息推导方法。首先,为确保在较小的时间开销下获得高质量的约束信息,设计了一种新颖的二阶约束主动学习算法,它通过选择不确定性最大的样本点来生成信息量最大的约束闭包;然后,在引入约束信息的基础上结合DBSCAN提出一种新的半监督聚类算法,它能够有效解决DBSCAN算法存在的边界模糊问题,提高文档聚类准确性;最后,在半监督聚类结果的基础上,对相似文档进行敏感信息可能性测度。实验表明,半监督聚类算法准确率提升明显,推导方法能够有效推导出敏感信息。     

一种基于AOS格式的多相水平集快速分割方法

采用迎风格式的水平集算法实现需要在曲线演化过程中重新初始化水平集函数的要求,为保证算法的稳定,时间步长选取较小值,算法运行速度较慢。文中基于无须重新初始化的水平集方法,在算法数值实现中引入AOS半隐格式,对基于不同统计模型的水平集分割算法给出统一的数值实现。以二相水平集分割算法为基础提出一种新的多相水平集分割方法。该方法采用一个水平集函数进行多次演化实现多区域分割,其优点包括：1)采用AOS半隐格式,该格式无条件稳定,可采用较大的时间步长;2)对多个统计模型进行统一处理;3)采用单一的水平集函数进行演化,减少水平集演化方程的数量,算法更加灵活。实验结果表明,该方法具有较快的分割速度,对具有多个区域的图像能够进行较准确的分割。     

The frequency partitioned block modified filtered-x NLMS with orthogonal correction factors for multichannel Active Noise Control

The Normalized Least Mean Square (NLMS) algorithm with a filtered-x structure (FxNLMS) is a widely used adaptive algorithm for Active Noise Control (ANC) due to its simplicity and ease of implementation. One of the major drawbacks is its slow convergence. A modified filtered-x structure (MFxNLMS) can be used to moderately improve the speed of convergence, but it does not offer a huge improvement. A greater increase in the speed of convergence can be obtained by using the MFxNLMS algorithm with orthogonal correction factors (M-OCF), but the usage of orthogonal correction factors also increases the computational complexity and limits the usage of the M-OCF in massive real-time applications. However, Graphics Processing Units (GPUs) are well known for their potential for highly parallel data processing. Therefore, GPUs seem to be a suitable platform to ameliorate this computational drawback. In this paper, we propose to derive the M-OCF algorithm to a partitioned block-based version in the frequency domain (FPM-OCF) for multichannel ANC systems in order to better exploit the parallel capabilities of the GPUs. The results show improvements in the convergence rate of the FPM-OCF algorithm in comparison to other NLMS-type algorithms and the usefulness of GPU devices for developing versatile, scalable, and low-cost multichannel ANC systems.     

On ADRC for non-minimum phase systems: canonical form selection and stability conditions

Active disturbance rejection control (ADRC), as proposed by Prof. Jingqing Han, reduces first the plant dynamics to its canonical form, normally in the form of cascade integrators, for which the standard controller can be employed to meet the design specifications. This paper concerns with the selection of the canonical form for non-minimum phase systems. In particular, it is shown that, by employing the well known controllable canonical form, the uncertainties of such systems can be divided into two terms in the state space model, one in the control channel and the other in the output channel. The necessary and sufficient condition is obtained for the stability of the closed-loop system with the proposed canonical form and ADRC. Also, by showing the necessity of the detectability of the extended system as well as certain information of the systemˉs “zeros”, we present the fundamental guidelines of design ADRC for non-minimum phase uncertain systems.