系统状态变量
- 【电力】system state variables
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目前,基于GPS的同步采样方法已开始应用于电力系统状态变量的同步采样。
Recently the synchronous sampling method based on the GPS has been applied in power system .
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通过选择等效节点附加注入功率作为新增加的状态变量,容易确定FACTS元件控制参数和系统状态变量的较佳初始条件,改善了收敛性能。
By using power injection as the additional state variable , it is apt to confirm better initial value of the control parameter of FACTS devices and state variable of system .
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采用Lyapunov函数方法证明系统状态变量、网络权值矢量、网络逼近误差界的在线估计及输出跟踪误差的收敛性。
The states of the system , network weights , network approximation errors ′ estimations and tracking error are proved to be convergence using Lyapunov methods .
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本文针对线性模拟电路,提出了一种基于系统状态变量的BIST方法。
For the linear analog circuits , a BIST method based on the system ′ s state variables is presented .
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选用GN-80型GPS接收设备和单片微机进行电力系统状态变量同步采集终端的硬件设计,利用GPS的精确授时作为其同步时钟控制采样脉冲来实现同步采样。
This thesis selects model GN-80 GPS receiver and SCM to design the sampling device . The high accurate time service is used to synchronize the sample clock signal to realize synchronous sampling .
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一种组合系统状态变量图规范化的方法
A Way of Normalizing of the State Variable Diagram of Integrated System
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液压控制系统状态变量图
State-Variable Diagram for Hydraulic Control System
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在软件设计中引入系统状态变量的概念,并以此为基础设计了通用多级菜单。
Also the concept about the system state variable is used and a general multi-level menu is realized based on it .
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理论分析结果表明,两位置对准可以提高系统状态变量的可观测度,尤其对加速度计误差和方位失准角的可观测度提高作用明显。
Theory analysis showed that the method of two-position alignment increases the observability degree of state variables , especially for the error of accelerometer and azimuth misalignment .
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从能量裕度的数学表达式出发,利用能量裕度的全微分公式,将能量裕度的灵敏度计算转化为故障清除时刻以及相关不稳定平衡点处系统状态变量的灵敏度计算。
The expression of energy margin is given using full differential formula . And the energy margin sensitivity is calculated by state variable sensitivity computation in fault clearing point and controlling UEP .
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而由坡角确定的剖分因子始终控制着系统状态变量与载荷的对应关系,并有利于边坡岩体结构的稳定。
The ripping factor depending on bedding slope angle can determine single valued relation between the state variate and load , and also benefits to the stability of rock mass slope with sheet crack .
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然后在给出系统状态变量取舍的判定定理的基础上,利用专家调研加权算法得到的状态变量重要性度量约束容许值,简化决策系统的数据库,导出决策系统故障的控制规则;
Secondly , based on the defined deleting or retaining award theory of system state-variable and using the state-variable dependence-degree constraint values got by adding-power algorithm , some control rules of working fault of decision system are deduced .
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基于延时反馈混沌控制方法和相空间压缩法,提出了一种改进的延时控制方法,即:将空间压缩作为系统状态变量的一种约束施加到延时反馈混沌控制中。
According to the delayed feedback control method and the phase space compression method , an improved delayed feedback scheme was proposed , which took phase space compression as restriction on state variables in the delayed feedback control .
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相应地,变量X和X就称之为系统的状态变量。
Accordingly the variables X and X are known as the system state variables .
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仿真结果表明,该鲁棒H∞滤波器能够较好地抑制测量噪声的影响,较准确地估计出系统的状态变量,能够提高AUV航向控制系统的控制品质。
The simulation results show that the proposed robust H ~ ∞ filter is effective to reject the negative effects of measurement noise and properly estimate the state variables of the system , and it makes much contribution to the performance improvement of the AUV heading control system .
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该文针对2-D随机多输入多输出线性时变系统的状态变量表达式,讨论了系统状态的统计特性,给出了系统的状态均值、方差和协方差阵的计算公式,并举例说明了该计算法。
This paper studied the statistical properties of the state for the 2-D multi input multi output linear time variant systems with stochastic input , the state expectation , variance and covariance matrices for the systems under consideration are given , as well as an example to explain the method .
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本文论述了应用现代控制理论的新型过热汽温控制系统&状态变量观测与控制(SOC)系统,及其通用微机调节器实现问题提出了SOC与PID控制结合的SOC-PID控制方案。
The paper discusses a new type of superheated steam control system , the state observation and control ( SOC ) system , developed on the principles of cybernetics , utilizing a general purpose microprocessor-based controller . A SOC-PID control scheme is proposed which couples SOC with PID .
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对于这一网络容易建立实现节点代数方程并求得系统各状态变量的数值解。
It easy to set up the nodal algebraic equation of this network .
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首先,通过对系统运动状态变量的模糊化,建立结构振动的模糊关系模型;
Firstly , a fuzzy relationship model of structural vibration is established by making the state variables of the system equation fuzzy .
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基于主动控制思想,提出了一种新的主动自适应控制同步的方法,通过主动控制和参数自适应率使得响应系统的状态变量被控制到驱动系统的状态变量,并且未知参数能够很好的得到辨识。
A novel active adaptive control approach is presented . The parameters in the drive system can be known and the response system can be controlled to the drive system .
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合理的选择了L2-增益性能指标,将被控系统各个状态变量的跟踪误差和神经网络各权值的跟踪误差看作整个控制系统的各个状态变量。
The performance indicator of L2-gain is chosen . The tracking errors of the states of the controlled system and the weights of the neural networks are taken as the state variables of the whole control system .
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我们用多参线性规划的方法得到预测控制律与系统当前状态变量的显式映射关系,使得预测控制无需再进行复杂的在线优化计算,从而提升了预测控控制的实时性。
Multi-parameter linear programming is utilized to obtain the explicit model predictive control law and the online computation associated with optimization can be removed completely . Thus better real-time applicability is obtained in the presented predictive control profile .
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最优控制的优点在于根据系统的状态变量并通过评价指标的最小化得到一个最优的综合性能指标,状态变量可以根据需要进行选择。
The advantages of The optimal control is according to the state variables of the system and through evaluation of the minimum , to get an optimum integrated control targets . State variables can be selected based on needed .
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利用Lyapunov函数方法证明在此控制器作用下该系统的此状态变量按指数速率收敛到参考信号。
It is proved by using Lyapunov function that this method can make the system approach to any desired signal at an exponent rate .
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第二步:利用线性化的误差系统来选择状态变量反馈函数和反馈增益,以满足相应Jacobian矩阵的特征值随时间变化处处具有负实部。
Secondly , the state variable feedback function and feedback gain can be got by the linear error system which can ensure the eigenvalue of the Jacobian matrix to be always nonpositive with time varying .
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电机驱动系统包含连续状态变量和开关离散事件,是一个典型的混杂系统。
Motor drive systems are a typical hybrid system including continuous state variables and discrete switching events .
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研究了非线性大系统关于部分状态变量的镇定问题,大系统放弃了其对应的孤立子系统部分状态为稳定的条件。
Instead of assuming the conditions of partial stability for the corresponding isolated subsystems , this letter addresses partial stabilization for nonlinear control large-scale systems with respect to part states .
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参数卡尔曼滤波算法可避免系统参数和状态变量之间的非线性耦合,同时通过带有目标函数的全局迭代算法保证能够获取到稳定、收敛的识别结果。
PKF algorithm can avoid the nonlinear coupling phenomenon between system parameters and state variables , and WGI procedure with an objective function is applied to obtain the stable and convergent solutions .
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在此基础上,给出了改进状态变量法的计算机实现方法,其计算程序是一套系统完整的状态变量法分析程序,具有很强的电路适用性。
On this basis , the realization of the analysis on a computer is given and the calculation program is a set of systematic and complete analytical program and has a powerful circuit applicability .
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分析表明:模型中参数K,β对冲击地压系统动力学行为和状态变量演化行为贡献较大,而系统动力学和演化行为对?
The research shows that the parameters k and β greatly affected the dynamics behavior and evolvement behavior of rockburst ;