视频化信息反馈系统在轨道交通工程建设中的应用

北京地下直径线工程位于北京市中心城区,沿线主要穿越富水砂卵石地层,为解决施工难度大,风险高等难题,通过采用视频化信息反馈系统,将监测可视化预警系统、视频监控系统、门禁系统、盾构掘进参数控制系统、施工监测反馈系统等有机集成与应用,规范并提高了施工信息化与管理水平,确保了工程施工安全。     

基于二次反馈的两级交换结构

为缓解FTSA(feedback-based two-stage switch architecture)对调度算法执行时间的限制,提出了一种基于二次反馈的两级交换结构DFTS(double-feedback-based two-stage switch architecture).该结构通过二次反馈和接力调度模式,以多反馈一次N位缓存信息的代价拓展了调度算法的时域空间(N为交换端口数).理论分析表明:在相同条件下,DFTS的时延性能与FTSA的理论性能是一致的.     

基于动态控制的船舶制造成本反馈系统

成本失控是制约船舶企业竞争力的关键因素.为实现成本的动态控制,要求成本反馈系统能够及时、经济地提供准确的产品成本信息.为适应船舶制造成本反馈的特殊需求,对作业成本法进行了三点改进:统一了直接成本和间接成本处理方式、以广义工作中心进行成本归集和分配、合并了成本动因.算例表明改进的作业成本法计算出的产品成本准确性介于传统的成本核算方法和作业成本法之间,且贴近作业成本法.     

欠驱动无人艇的全局时变反馈镇定控制

欠驱动水面船舶的镇定控制大多采用切换控制的方法,对该问题的研究普遍存在需要角速度持续激励的问题,时变控制可以有效解决该问题,但时变系统存在构造李雅普洛夫函数的困难,为此提出了一种时变状态变换,并基于反步法构造了该系统的李雅普洛夫函数,从而设计了一种全局时变反馈镇定控制器,取消了对初始条件角速度不能为零的约束。仿真结果验证了所提出方法的有效性。     

Disturbance compensation with a torque controllable steering system

Via a conventional steering system the driver perceives desired and disturbing effects such as road feedback and resonance effects, respectively. They appear with overlapping frequency spectra within the driver's steering torque. This paper introduces a control algorithm that is suppressing periodic disturbances without affecting useful steering road feedback attributes as well as regular power assistance characteristic. This is realised by an integrated torque actuator within the steering column in conjunction with a conventional Hydraulic-assisted Power Steering (HPS) system.     

MODIFIED AUTOMATIC TUNING OF PI/D CONTROLLERS BASED ON PHASE AND AMPLITUDE MARGIN SPECIFICATIONS

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A multi-class model-based control scheme for reducing congestion and emissions in freeway networks by combining ramp metering and route guidance

The paper proposes a multi-class control scheme for freeway traffic networks. This control scheme combines two control strategies, i.e. ramp metering and route guidance, in order to reduce the total time spent and the total emissions in a balanced way. In particular, the ramp metering and route guidance controllers are feedback predictive controllers, i.e. they compute the control actions not only on the basis of the measured system state, but also on the basis of the prediction of the system evolution, in terms of traffic conditions and traffic emissions. Another important feature of the controllers is that they have a multi-class nature: different classes of vehicles are considered and specific control actions are computed for each class. Since the controllers are based on a set of parameters that need to be tuned, the overall control framework also includes a module to properly determine the gains of the controllers. The simulation analysis reported in the paper shows the effectiveness of the proposed control framework and, in particular, the possibility of implementing control policies that are specific for each vehicle type.     

H ∞ parameter identification and H 2 feedback control synthesizing for inflight aircraft icing

Aircraft icing accident happens frequently. Researchers try to find new ways to solve this problem. The study is facing the direction of intelligent inspection and control system. Previous studies focused on the principle of aircraft icing and its effects on flight performance. The onboard icing detection equipment can only give the qualitative icing information, but cannot effectively describe how serious the consequences would be. If the icing detection equipment fails, it will cause a serious threat to flight safety. This paper reviews the smart icing system and its fundamental principle. Then based on H∞ theory, an aircraft icing parameter identification method is introduced, and its feasibility is verified by simulation results. Moreover, this method can work normally under noise interference and measurement error. Icing parameter identification method can also test part of aircraft’s stability or control derivatives which would be changed obviously after aircraft icing. Classified by neural networks, the stability or control derivatives’ variation can be mapped to ice parameters’ variation that reflects the severity of aircraft icing. Then H2 state feedback control is designed originally to suppress the impact of noise interference, so aircraft can keep steady after it is iced. Seeing from simulation result of the whole system, it is clear that the system can effectively detect icing parameters and by using feedback control system, it can ensure the safety of aircraft in the flight envelope.     

多层反馈混沌神经网络及其在交叉口优化控制中的应用

研究城市交叉口交通控制信号优化配时问题。以Hopfield网络和混沌模型为基础,开发了多层反馈混沌神经网络,将其应用于城市交通控制信号配时优化,并开发了应用于优化计算的能量函数和车辆平均延误计算式;探讨了城市交通系统的混沌特性,并开发混沌定量判别算法。以广东某交叉路口为对象进行了仿真,结果表明:与传统的配时方法相比,采用所开发的多层反馈混沌神经网络进行优化配时,交叉路口车辆的平均延误可以平均减少25.1%,可以大大提高路口的通行效率。该网络也可以应用于其他对象的优化。     

足球机器人定点行走模型的研究

针对线性比例反馈控制的双轮车型足球机器人，引入模型系数的概念。建立其定点行走的运动学模型，并推导出此类型的机器人在稳定、准确行走的要求下，反馈系数应满足的方程。从理论上来解决反馈控制系数取值的未知性、盲目性问题．同时以此模型为基础。采用程序仿真的方式，分析了机器人在速度限制、角度调整方式等方面存在的隐患，提出了应对措施。较好地解决了机器人偏转不足、不够迅速等问题．最后，通过分析机器人行走的一个隐蔽的收敛性问题．给出了反馈控制系数的完整约束条件。