刀具工作前角时变系统切削稳定性的研究

理论分析和试验结果表明，刀具工作前角时变系统的振动响应幅值比刀具工作前角固定不变的系统的振动响应幅值明显减小．试验在普通车床上进行，刀具工作前角由微机通过步进电机按规定的时变参数控制。     

土的最大干密度和最优含水率快速测定法

对快速击实试验研究成果进行了总结,并介绍了应用快速击实试验研究成果的经验.不论是重型击实还是轻型击实,也不论击实试验所给定的击实功能多大,应用"一点法"或"快速法"击实试验原理,对土料都有一定要求."一点法"击实试验与快速击实试验所用土体的比重在2.67～2.73之间,当被测土样的比重超越此范围时,在绘制击实曲线时可适当偏离ρdmax计算值的点,但这个误差是很小的,通常ρdmax的影响在±0.01 g/cm3以内,而对ωop的影响在±0.5%以内.结合工程实例,对击实试验成果的简化校正作了详细介绍.     

A Multi-View Face Recognition System

In many automatic face recognition systems,posture constraining is a key factor preventing them from application.In this paper a series of strategies will be described to achieve a system which enables face recognition under varying pose.These approaches include the multi-view face modeling,the threschold image based face feature detection,the affine transformation based face posture normalization and the template matching based face identification.Combining all of these strategies,a face recognition system with the pose invariance is designed successfully,Using a 75MHZ Pentium PC and with a database of 75 individuals,15 images for each person,and 225 test images with various postures,a very good recognition rate of 96.89% is obtained.     

基于变轴力和定轴力试验对比的钢筋混凝土柱恢复力滞回特性研究

在讨论了框架柱在地震作用下轴力变化规律的基础上,通过由变轴力柱和定轴力柱的低周交变加载试验获得的恢复力滞回曲线对比,给出了用各个“轴力变化半周”的“等效滞回轴力”修正恢复力骨架曲线,和用“等效累积滞回轴力”随时间步长调整累积强度退化系数从而修正恢复力滞回曲线的再加载刚度的建议。该建议能更有效、更方便地反映轴力变化的整个历程对变轴力柱恢复特征的影响,有利于提高钢筋混凝土杆系结构非弹性地震反应分析的有效性。     

Gain‐scheduled dynamic output feedback control for discrete‐time LPV systems

This paper presents synthesis conditions for the design of gain‐scheduled dynamic output feedback controllers for discrete‐time linear parameter‐varying systems. The state‐space matrix representation of the plant and of the controller can have a homogeneous polynomial dependency of arbitrary degree on the scheduling parameter. As an immediate extension, conditions for the synthesis of a multiobjective ??_∞ and ??₂ gain‐scheduled dynamic feedback controller are also provided. The scheduling parameters vary inside a polytope and are assumed to be a priori unknown, but measured in real‐time. If bounds on the rate of parameter variation are known, they can be taken into account, providing less conservative results. The geometric properties of the uncertainty domain are exploited to derive finite sets of linear matrix inequalities based on the existence of a homogeneous polynomially parameter‐dependent Lyapunov function. An application of the control design to a realistic engineering problem illustrates the benefits of the proposed approach. Copyright © 2011 John Wiley & Sons, Ltd.     

Asymptotic and robust stability of T‐S fuzzy genetic regulatory networks with time‐varying delays

In this paper, we propose and investigate a new general model of fuzzy genetic regulatory networks described by the Takagi–Sugeno (T‐S) fuzzy model with time‐varying delays. By using a Lyapunov functional approach and linear matrix inequality (LMI) techniques, the stability criteria for the delayed fuzzy genetic regulatory networks are expressed as a set of LMIs, which can be solved numerically by LMI toolbox in Matlab. Two fuzzy genetic network example are given to verify the effectiveness and applicability of the proposed approach. Copyright © 2011 John Wiley & Sons, Ltd.     

Delay‐dependent passivity and passification for uncertain Markovian jump systems with time‐varying delays

This paper deals with the problems of passivity analysis and passivity‐based controller design for Markovian jump systems with both time‐varying delays and norm‐bounded parametric uncertainties. Firstly, new delay‐dependent conditions for the considered system to be passive are obtained by using a mode‐dependent Lyapunov functional and by introducing some slack variables. These conditions are expressed by means of LMIs that are easy to check. It is shown through a numerical example that the obtained passivity conditions are less conservative than the existing ones in the literature. Secondly, the passification problem is investigated. On the basis of the obtained passivity conditions, dynamic output‐feedback controllers are designed, which ensure that the resulting closed‐loop system is passive. The effectiveness of the proposed design method is demonstrated by a numerical example. Copyright © 2011 John Wiley & Sons, Ltd.     

An Intelligent Robust Tracking Control for a Class of Electrically Driven Mobile Robots

This paper addresses the problem of designing robust tracking control for a class of uncertain wheeled mobile robots actuated by brushed direct current motors. This class of electrically‐driven mechanical systems consists of the robot kinematics, the robot dynamics, and the wheel actuator dynamics. Via the backstepping technique, an intelligent robust tracking control scheme that integrates a kinematic controller and an adaptive neural network‐based (or fuzzy‐based) controller is developed such that all of the states and signals of the closed‐loop system are bounded and the tracking error can be made as small as possible. Two adaptive approximation systems are constructed to learn the behaviors of unknown mechanical and electrical dynamics. The effects of both the approximation errors and the unmodeled time‐varying perturbations in the input and virtual‐input weighting matrices are counteracted by suitably tuning the control gains. Consequently, the robust control scheme developed here can be employed to handle a broader class of electrically‐driven wheeled mobile robots in the presence of high‐degree time‐varying uncertainties. Finally, a simulation example is given to demonstrate the effectiveness of the developed control scheme.     

含储能型虚拟同步发电机的直驱风机并网系统自适应协调阻尼控制策略

储能型虚拟同步发电机(VSG)的灵活控制特性能够为风电并网系统提供有效的频率和电压支撑,然而系统振荡特性会受到一定程度的影响,同时风电时变出力特性导致的运行点变化也将使得定参数阻尼控制表现出适应性不足的问题.为此,提出了适应风电出力时变特性的自适应协调阻尼控制策略.首先,在风电并网系统状态空间模型的基础上推导线性变参数模型,以直驱风机的有功功率为调度变量,根据稳定域确定运行空间范围;然后,利用间隙度量对运行空间进行划分,确定各子运行空间的典型运行点并将其作为多胞形顶点,建立调度增益与系统运行工况以及控制器的映射关系;最后,针对不同频率振荡模式协调设计自适应控制器.测试系统的仿真结果表明,所设计的自适应协调阻尼控制器不仅能够同时阻尼含储能型VSG并网系统中的次同步振荡和低频振荡,也能在风电出力大范围时变工况下保持良好的阻尼水平.     

A virtual actuator and sensor approach for fault tolerant control of LPV systems

In this paper, a fault tolerant control (FTC) strategy using virtual actuators and sensors for linear parameter varying (LPV) systems is proposed. The main idea of this FTC method, initially developed for LTI systems, is to reconfigure the control loop such that the nominal controller could still be used without need of retuning it. The plant with the faulty actuator/sensor is modified adding the virtual actuator/sensor block that masks the actuator/sensor fault. The suggested technique is an active FTC strategy that reconfigures the virtual actuator/sensor on-line taking into account faults and operating point changes. The stability of the reconfigured control loop is guaranteed if the faulty plant is stabilizable/detectable. The LPV virtual actuator/sensor is designed using polytopic LPV techniques and linear matrix inequalities (LMIs). A two-tank system simulator is used to assess the performance of the proposed method. In particular, it is shown that the application of the proposed technique results in an improvement, in terms of performance, with respect to the LTI counterpart.