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高比例新能源和电动汽车接入背靠背并联系统优化控制 被引量:3
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作者 孙旭日 周超群 +7 位作者 李延真 刘术波 杨伟进 朱国梁 魏珊 王硕 李燕 刘建文 《电气传动》 2021年第19期50-57,共8页
柔性开关设备作为一种新型配网设备,将极大提高配电网的灵活可控性,从而降低高比例新能源和电动汽车接入带来的影响。考虑到设备容量及效率,背靠背系统的并联技术成为一种理想方案,但是系统之间的环流成为亟待解决的问题。为此,提出一... 柔性开关设备作为一种新型配网设备,将极大提高配电网的灵活可控性,从而降低高比例新能源和电动汽车接入带来的影响。考虑到设备容量及效率,背靠背系统的并联技术成为一种理想方案,但是系统之间的环流成为亟待解决的问题。为此,提出一种低通信预测控制方法实现系统之间的环流抑制。首先,考虑到新能源和电动汽车间歇性运行特点,采用柔性并联运行技术。其次,建立低通信多机柔性开关设备并联模型,并设计环流最小为目标函数。最后,求解环流最小的零序电压矢量,通过实时调节矢量作用时间抑制环流。仿真和实验验证了低通信预测控制方法能够在不同工况下实现环流的高效抑制。 展开更多
关键词 柔性开关 并联优化 环流抑制 预测控制
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基于条件数的3-RRS并联机器人运动性能优化 被引量:11
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作者 刘永均 张静 李柏林 《机械设计与研究》 CSCD 北大核心 2008年第6期32-34,共3页
分析了3-RRS并联机器人的位姿运动特点,提出了采用层次迭代搜索策略来计算机构全域条件数的方法,避免了复杂工作空间体积的积分过程,容易获得工作空间的边界曲面,节省了计算成本,这种方法也适用于其他类型并联机构工作空间的相关计算。... 分析了3-RRS并联机器人的位姿运动特点,提出了采用层次迭代搜索策略来计算机构全域条件数的方法,避免了复杂工作空间体积的积分过程,容易获得工作空间的边界曲面,节省了计算成本,这种方法也适用于其他类型并联机构工作空间的相关计算。在充分考虑机构的约束情况下,以全域条件数和工作行程为目标,采用遗传算法对机构参数进行了优化。 展开更多
关键词 基于条件数的3-RRS并联机器人运动性能优化
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基于粒子群优化算法的串并混联坐标测量机标定技术研究
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作者 潘爱民 王云亮 《中文科技期刊数据库(引文版)工程技术》 2024年第11期258-261,共4页
本文将串并混联结构引入进了坐标测量机设计中,对现有应用广泛的PD-CMM结构坐标测量机进行了改进,并借助粒子群优化算法对现有串并混联坐标测量机参数进行优化。根据验证结果,与传统PD-CMM结构相比,串并混联串并联机构测量机在末端负载... 本文将串并混联结构引入进了坐标测量机设计中,对现有应用广泛的PD-CMM结构坐标测量机进行了改进,并借助粒子群优化算法对现有串并混联坐标测量机参数进行优化。根据验证结果,与传统PD-CMM结构相比,串并混联串并联机构测量机在末端负载、操作空间、动态性能、积累误差、定位精度等方面效果更佳。该种新颖的优化方式,为新型坐标测量机设计开发提供新的视角。 展开更多
关键词 粒子群优化算法 串并混联串并联机构 并联机构优化 动态性能
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基于优化串-并联模型的钢桁拱桥系统易损性研究 被引量:1
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作者 刘聪聪 张永亮 +1 位作者 汪振新 朱光增 《铁道科学与工程学报》 CAS CSCD 北大核心 2021年第6期1496-1503,共8页
为研究适用于钢桁拱桥系统易损性的分析方法,采用串联模型、简单串-并联模型、优化串-并联模型3种可靠度模型,基于一阶界限法分别绘制系统易损性曲线、系统损伤超越概率差值曲线以及损伤控制组件曲线。研究结果表明:串联模型不能考虑主... 为研究适用于钢桁拱桥系统易损性的分析方法,采用串联模型、简单串-并联模型、优化串-并联模型3种可靠度模型,基于一阶界限法分别绘制系统易损性曲线、系统损伤超越概率差值曲线以及损伤控制组件曲线。研究结果表明:串联模型不能考虑主、次要构件在系统易损性中的比重,简单串-并联模型能考虑主、次要构件的比重,但往往不能代表结构真实的失效模式,而优化串-并联模型既能代表考虑主、次要构件的比重,又能代表真实的失效模式。设计地震动下串联模型、简单串-并联模型分别会高估和低估系统轻微损伤超越概率,这与实际情况不符。串联模型导致系统严重损伤的误差最大,简单串-并联模型导致系统中等损伤的误差最大。不同可靠度模型的系统损伤超越概率较大的直接原因是不同可靠度模型的系统易损性的控制组件不同。因此建议对钢桁拱桥系统易损性分析时宜采用优化串-并联模型。 展开更多
关键词 钢桁拱桥 主、次要构件 系统易损性 优化串-并联模型 一阶界限法
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Parameters matching and optimization of parallel hybrid electric vehicle powertrain 被引量:7
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作者 陈勇 Chen Xiaokai Lin Yi 《High Technology Letters》 EI CAS 2010年第1期34-38,共5页
Aiming at the development of parallel hybrid electric vehicle (PHEV) powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driv... Aiming at the development of parallel hybrid electric vehicle (PHEV) powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driveline gear ratio and battery parameters are determined. And then a two-level optimization problem is formulated based on analytical target cascading (ATC). At the system level, the optimization of the whole vehicle fuel economy is carried out, while the tractive performance is defined as the constraints. The optimized parameters are cascaded to the subsystem as the optimization targets. At the subsystem level, the final drive and transmission design are optimized to make the ratios as close to the targets as possible. The optimization result shows that the fuel economy had improved significantly, while the tractive performance maintains the former level. 展开更多
关键词 parallel hybrid electric vehicle (PHEV) parameters matching OPTIMIZATION analytical target cascading (ATC) POWERTRAIN
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Research on Optimizing Numerical Calculation of Posture Equations based on Six DOF Stewart Platform
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作者 Yinmu Wei 《International Journal of Technology Management》 2014年第8期27-29,共3页
The paper study position positive solution method based on 6-TPS parallel mechanism, and establish general kinematics model of 6-TPS parallel mechanism, gives the numerical method of positive solution based on a kind ... The paper study position positive solution method based on 6-TPS parallel mechanism, and establish general kinematics model of 6-TPS parallel mechanism, gives the numerical method of positive solution based on a kind of position, deduced the forward position solution iteration format, and use MATLAB for the 6-TPS parallel mechanism kinematics to simulation, results show that solving program has stability, fast. effective. 展开更多
关键词 Parallel mechanism KINEMATICS forward kinematics numerical simulation
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Particle swarm optimization algorithm for simultaneous optimal placement and sizing of shunt active power conditioner(APC)and shunt capacitor in harmonic distorted distribution system
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作者 Mohammadi Mohammad 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第9期2035-2048,共14页
Due to development of distribution systems and increase in electricity demand,the use of capacitor banks increases.From the other point of view,nonlinear loads generate and inject considerable harmonic currents into p... Due to development of distribution systems and increase in electricity demand,the use of capacitor banks increases.From the other point of view,nonlinear loads generate and inject considerable harmonic currents into power system.Under this condition if capacitor banks are not properly selected and placed in the power system,they could amplify and propagate these harmonics and deteriorate power quality to unacceptable levels.With attention of disadvantages of passive filters,such as occurring resonance,nowadays the usage of this type of harmonic compensator is restricted.On the other side,one of parallel multi-function compensating devices which are recently used in distribution system to mitigate voltage sag and harmonic distortion,performs power factor correction,and improves the overall power quality as active power conditioner(APC).Therefore,the utilization of APC in harmonic distorted system can affect and change the optimal location and size of shunt capacitor bank under harmonic distortion condition.This paper presents an optimization algorithm for improvement of power quality using simultaneous optimal placement and sizing of APC and shunt capacitor banks in radial distribution networks in the presence of voltage and current harmonics.The algorithm is based on particle swarm optimization(PSO).The objective function includes the cost of power losses,energy losses and those of the capacitor banks and APCs. 展开更多
关键词 shunt capacitor banks active power conditioner multi-objective function particle swarm optimization (PSO) harmonic distorted distribution system
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Optimal design of Stewart platforms based on expanding the control bandwidth while considering the hydraulic system design 被引量:3
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作者 Wei WANG Hua-yong YANG +2 位作者 Jun ZOU Xiao-dong RUAN Xin FU 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第1期22-30,共9页
We proposed an optimal design method to expand the bandwidth for the control of large hydraulic Stewart platform.The method is based on generalized natural frequency and takes hydraulic oil into consideration.A Lagran... We proposed an optimal design method to expand the bandwidth for the control of large hydraulic Stewart platform.The method is based on generalized natural frequency and takes hydraulic oil into consideration.A Lagrangian formulation which considers the whole leg inertia is presented to obtain the accurate equivalent mass matrix.Using the model,the effect of leg inertia and the influence of design parameters on the generalized natural frequency are investigated.Finally,numerical examples are presented to validate and confirm the efficiency of the mathematical model.The results show that the leg inertia,especially the piston part plays an important role in the dynamics.The optimum diameter ratio of the base to the moving platform is between 2 and 3,and the optimum joint angle ratio of the base to the moving platform is about 1.The smaller joint angles and a longer leg stroke are favorable for raising system frequencies.The system oil should be preprocessed for large platforms with a requirement for good dynamic performance. 展开更多
关键词 Large Gough-Stewart platform Optimal design Control bandwidth Leg inertia Generalized natural frequency
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Multi-objective parameter optimization for a single-shaft series-parallel plug-in hybrid electric bus using genetic algorithm 被引量:4
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作者 CHEN Zheng ZHOU LiYan +2 位作者 SUN Yong MA ZiLin HAN ZongQi 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第8期1176-1185,共10页
Recently, the single-shaft series-parallel powertrain of Plug-in Hybrid Electric Bus (PHEB) has become one of the most popu- lar powertrains due to its alterable operating modes, excellent fuel economy and strong ad... Recently, the single-shaft series-parallel powertrain of Plug-in Hybrid Electric Bus (PHEB) has become one of the most popu- lar powertrains due to its alterable operating modes, excellent fuel economy and strong adaptability for driving cycles. Never- theless, for configuring the PHEB with single-shaft series-parallel powertrain in the development stage, it still faces greater challenge than other configurations when choosing and matching the main component parameters. Motivated by this issue, a comprehensive multi-objectives optimization strategy based on Genetic Algorithm (GA) is developed for the PHEB with the typical powertrain. First, considering repeatability and regularity of bus route, the methods of off-line data processing and mathematical statistics are adopted, to obtain a representative driving cycle, which could well reflect the general characteristic of the real-world bus route. Then, the economical optimization objective is defined, which is consist of manufacturing costs of the key components and energy consumption, and combined with the dynamical optimization objective, a multi-objective op- timization function is put forward. Meanwhile, GA algorithm is used to optimize the parameters, for the optimal components combination of the novel series-parallel powertrain. Finally, a comparison with the prototype is carried out to verify the per- formance of the optimized powertrain along driving cycles. Simulation results indicate that the parameters of powertrain com- ponents obtained by the proposed comprehensive multi-objectives optimization strategy might get better fuel economy, meanwhile ensure the dynamic performance of PHEB. In contrast to the original, the costs declined by 18%. Hence, the strat- egy would provide a theoretical guidance on parameter selection for PHEB manufacturers. 展开更多
关键词 multi-objective parameter optimization single-shaft series-parallel powertrain plug-in hybrid electric bus (PHEB) genetic algorithm (GA) driving cycle city bus route
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