In the synthesis of the control algorithm for complex systems, we are often faced with imprecise or unknown mathematical models of the dynamical systems, or even with problems in finding a mathematical model of the sy...In the synthesis of the control algorithm for complex systems, we are often faced with imprecise or unknown mathematical models of the dynamical systems, or even with problems in finding a mathematical model of the system in the open loop. To tackle these difficulties, an approach of data-driven model identification and control algorithm design based on the maximum stability degree criterion is proposed in this paper. The data-driven model identification procedure supposes the finding of the mathematical model of the system based on the undamped transient response of the closed-loop system. The system is approximated with the inertial model, where the coefficients are calculated based on the values of the critical transfer coefficient, oscillation amplitude and period of the underdamped response of the closed-loop system. The data driven control design supposes that the tuning parameters of the controller are calculated based on the parameters obtained from the previous step of system identification and there are presented the expressions for the calculation of the tuning parameters. The obtained results of data-driven model identification and algorithm for synthesis the controller were verified by computer simulation.展开更多
Cable-driven parallel robots(CDPRs) are categorized as a type of parallel manipulators. In CDPRs, flexible cables are used to take the place of rigid links. The particular property of cables provides CDPRs several adv...Cable-driven parallel robots(CDPRs) are categorized as a type of parallel manipulators. In CDPRs, flexible cables are used to take the place of rigid links. The particular property of cables provides CDPRs several advantages, including larger workspaces, higher payload-to-weight ratio and lower manufacturing costs rather than rigid-link robots. In this paper, the history of the development of CDPRs is introduced and several successful latest application cases of CDPRs are presented. The theory development of CDPRs is introduced focusing on design, performance analysis and control theory. Research on CDPRs gains wide attention and is highly motivated by the modern engineering demand for large load capacity and workspace. A number of exciting advances in CDPRs are summarized in this paper since it is proposed in the 1980 s, which points to a fruitful future both in theory and application. In order to meet the increasing requirements of robot in different areas, future steps foresee more in-depth research and extension applications of CDPRs including intelligent control, composite materials, integrated and reconfigurable design.展开更多
The relationships and the features of integration between Enterprise ProcessMonitoring and Controlling System (EPMCS) and Enterprise Process Related Applications (EPRA) wereanalyzed. An integration architecture center...The relationships and the features of integration between Enterprise ProcessMonitoring and Controlling System (EPMCS) and Enterprise Process Related Applications (EPRA) wereanalyzed. An integration architecture centered on EPMCS was presented, in which there were fourlayers to connect from EPMCS to EPRA: EPMCS, application integration layer, transport layer andEPRA, and there were four layers used to etstablish integration: presentation layer, function layer,data layer and system layer. The frameworks to connect EPMCS and EPRA were designed, thatEnterprise-Independent Model (EIM), Enterprise-Specific Model (ESM) and meta-model to describe thesetwo models were defined. The method to integrate data based on XML was designed to exchange datafrom EPMCS to EPRA according to the mapping between EIM and ESM. The approches are suitable forintegrating EPMCS and systems in Product Data Management (PDM), project management and enterprisebusiness management.展开更多
作为未来自动驾驶汽车的核心技术之一,蜂窝车联网(Cellular-V2X,C-V2X)在快速普及应用的同时,还面临着一系列与网络连通性相关的发展痛点,如车辆移动性、网络覆盖、频谱资源等问题。C-V2X车路协同连通性直接反映了C-V2X网络联网车辆的...作为未来自动驾驶汽车的核心技术之一,蜂窝车联网(Cellular-V2X,C-V2X)在快速普及应用的同时,还面临着一系列与网络连通性相关的发展痛点,如车辆移动性、网络覆盖、频谱资源等问题。C-V2X车路协同连通性直接反映了C-V2X网络联网车辆的整体性能,对于保证信息在C-V2X网络内实现远距离、自适应、低时延、高可靠传输具有重要意义。不同于传统的蜂窝移动通信网络,C-V2X联网车辆具有移动速度快、节点间链路持续时间短暂、无线通信环境可预测性强、移动模型受限于道路拓扑等特点,在高效利用频谱进行通信的同时,还具有自组织网络的无中心和自组织等诸多特性。首先简要介绍了C-V2X的优点与特点,包括C-V2X的进展与结构体系;然后介绍了C-V2X车联网中车路协同连通性的定义及相关发展约束,在此基础上对C-V2X网络连通性研究中基于交通场景、通信方式选择、路侧单元(Road Side Unit,RSU)位置部署、功率控制、模型驱动的研究方法进行了总结与分类;最后探讨了C-V2X的发展趋势,对其未来应用进行展望。展开更多
The interest on the use of renewable energy resources is increasing, especially towards wind and hydro powers, which should be efficiently converted into electric energy via suitable technology tools. To this aim, sel...The interest on the use of renewable energy resources is increasing, especially towards wind and hydro powers, which should be efficiently converted into electric energy via suitable technology tools. To this aim, self-tuning control techniques represent viable strategies that can be employed for this purpose, due to the features of these nonlinear dynamic processes working over a wide range of operating conditions, driven by stochastic inputs, excitations and disturbances. Some of the considered methods were already verified on wind turbine systems, and important advantages may thus derive from the appropriate implementation of the same control schemes for hydroelectric plants. This represents the key point of the work, which provides some guidelines on the design and the application of these control strategies to these energy conversion systems. In fact, it seems that investigations related with both wind and hydraulic energies present a reduced number of common aspects, thus leading to little exchange and share of possible common points. This consideration is particularly valid with reference to the more established wind area when compared to hydroelectric systems. In this way, this work recalls the models of wind turbine and hydroelectric system, and investigates the application of different control solutions. Another important point of this investigation regards the analysis of the exploited benchmark models, their control objectives, and the development of the control solutions. The working conditions of these energy conversion systems will also be taken into account in order to highlight the reliability and robustness characteristics of the developed control strategies, especially interesting for remote and relatively inaccessible location of many installations.展开更多
针对野外复杂环境下车式机器人常受动力学扰动影响,仅从运动学角度难以实现高性能机器人编队及轨迹跟踪控制的问题,提出一种数据驱动的动力学内环电机控制设计方法。将电机及减速机构看作整体,采用输入输出数据实时辨识动力学模型参数,...针对野外复杂环境下车式机器人常受动力学扰动影响,仅从运动学角度难以实现高性能机器人编队及轨迹跟踪控制的问题,提出一种数据驱动的动力学内环电机控制设计方法。将电机及减速机构看作整体,采用输入输出数据实时辨识动力学模型参数,对动力学内环进行特征建模,针对数据驱动的二阶离散动力学系统模型,设计离散滑模控制器并进行稳定性分析。在微软公司基于物理引擎的机器人仿真平台Microsoft Robotics Developer Studio 4(MRDS4)进行仿真对比,并将仿真数据导入MATLAB进行分析,通过仿真验证所设计控制方法的整体有效性,在扰动力矩影响较大的野外复杂环境中仍能使机器人保持较快的动态响应速度,在编队中快速响应队形的切换跟踪。展开更多
文摘In the synthesis of the control algorithm for complex systems, we are often faced with imprecise or unknown mathematical models of the dynamical systems, or even with problems in finding a mathematical model of the system in the open loop. To tackle these difficulties, an approach of data-driven model identification and control algorithm design based on the maximum stability degree criterion is proposed in this paper. The data-driven model identification procedure supposes the finding of the mathematical model of the system based on the undamped transient response of the closed-loop system. The system is approximated with the inertial model, where the coefficients are calculated based on the values of the critical transfer coefficient, oscillation amplitude and period of the underdamped response of the closed-loop system. The data driven control design supposes that the tuning parameters of the controller are calculated based on the parameters obtained from the previous step of system identification and there are presented the expressions for the calculation of the tuning parameters. The obtained results of data-driven model identification and algorithm for synthesis the controller were verified by computer simulation.
基金Supported by National Basic Research Program of China（973 Program）（2013CB035500） National Natural Science Foundation of China（61233004,61221003,61074061）+1 种基金 International Cooperation Program of Shanghai Science and Technology Commission （12230709600） the Higher Education Research Fund for the Doctoral Program of China（20120073130006）
基金Supported by National Natural Science Foundation of China(Grant Nos.51605126,51575150,91748109)
文摘Cable-driven parallel robots(CDPRs) are categorized as a type of parallel manipulators. In CDPRs, flexible cables are used to take the place of rigid links. The particular property of cables provides CDPRs several advantages, including larger workspaces, higher payload-to-weight ratio and lower manufacturing costs rather than rigid-link robots. In this paper, the history of the development of CDPRs is introduced and several successful latest application cases of CDPRs are presented. The theory development of CDPRs is introduced focusing on design, performance analysis and control theory. Research on CDPRs gains wide attention and is highly motivated by the modern engineering demand for large load capacity and workspace. A number of exciting advances in CDPRs are summarized in this paper since it is proposed in the 1980 s, which points to a fruitful future both in theory and application. In order to meet the increasing requirements of robot in different areas, future steps foresee more in-depth research and extension applications of CDPRs including intelligent control, composite materials, integrated and reconfigurable design.
文摘The relationships and the features of integration between Enterprise ProcessMonitoring and Controlling System (EPMCS) and Enterprise Process Related Applications (EPRA) wereanalyzed. An integration architecture centered on EPMCS was presented, in which there were fourlayers to connect from EPMCS to EPRA: EPMCS, application integration layer, transport layer andEPRA, and there were four layers used to etstablish integration: presentation layer, function layer,data layer and system layer. The frameworks to connect EPMCS and EPRA were designed, thatEnterprise-Independent Model (EIM), Enterprise-Specific Model (ESM) and meta-model to describe thesetwo models were defined. The method to integrate data based on XML was designed to exchange datafrom EPMCS to EPRA according to the mapping between EIM and ESM. The approches are suitable forintegrating EPMCS and systems in Product Data Management (PDM), project management and enterprisebusiness management.
文摘作为未来自动驾驶汽车的核心技术之一,蜂窝车联网(Cellular-V2X,C-V2X)在快速普及应用的同时,还面临着一系列与网络连通性相关的发展痛点,如车辆移动性、网络覆盖、频谱资源等问题。C-V2X车路协同连通性直接反映了C-V2X网络联网车辆的整体性能,对于保证信息在C-V2X网络内实现远距离、自适应、低时延、高可靠传输具有重要意义。不同于传统的蜂窝移动通信网络,C-V2X联网车辆具有移动速度快、节点间链路持续时间短暂、无线通信环境可预测性强、移动模型受限于道路拓扑等特点,在高效利用频谱进行通信的同时,还具有自组织网络的无中心和自组织等诸多特性。首先简要介绍了C-V2X的优点与特点,包括C-V2X的进展与结构体系;然后介绍了C-V2X车联网中车路协同连通性的定义及相关发展约束,在此基础上对C-V2X网络连通性研究中基于交通场景、通信方式选择、路侧单元(Road Side Unit,RSU)位置部署、功率控制、模型驱动的研究方法进行了总结与分类;最后探讨了C-V2X的发展趋势,对其未来应用进行展望。
文摘The interest on the use of renewable energy resources is increasing, especially towards wind and hydro powers, which should be efficiently converted into electric energy via suitable technology tools. To this aim, self-tuning control techniques represent viable strategies that can be employed for this purpose, due to the features of these nonlinear dynamic processes working over a wide range of operating conditions, driven by stochastic inputs, excitations and disturbances. Some of the considered methods were already verified on wind turbine systems, and important advantages may thus derive from the appropriate implementation of the same control schemes for hydroelectric plants. This represents the key point of the work, which provides some guidelines on the design and the application of these control strategies to these energy conversion systems. In fact, it seems that investigations related with both wind and hydraulic energies present a reduced number of common aspects, thus leading to little exchange and share of possible common points. This consideration is particularly valid with reference to the more established wind area when compared to hydroelectric systems. In this way, this work recalls the models of wind turbine and hydroelectric system, and investigates the application of different control solutions. Another important point of this investigation regards the analysis of the exploited benchmark models, their control objectives, and the development of the control solutions. The working conditions of these energy conversion systems will also be taken into account in order to highlight the reliability and robustness characteristics of the developed control strategies, especially interesting for remote and relatively inaccessible location of many installations.
文摘针对野外复杂环境下车式机器人常受动力学扰动影响,仅从运动学角度难以实现高性能机器人编队及轨迹跟踪控制的问题,提出一种数据驱动的动力学内环电机控制设计方法。将电机及减速机构看作整体,采用输入输出数据实时辨识动力学模型参数,对动力学内环进行特征建模,针对数据驱动的二阶离散动力学系统模型,设计离散滑模控制器并进行稳定性分析。在微软公司基于物理引擎的机器人仿真平台Microsoft Robotics Developer Studio 4(MRDS4)进行仿真对比,并将仿真数据导入MATLAB进行分析,通过仿真验证所设计控制方法的整体有效性,在扰动力矩影响较大的野外复杂环境中仍能使机器人保持较快的动态响应速度,在编队中快速响应队形的切换跟踪。
