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work.rar
- Matlab实现： Erlang B model(M/M/n/n)与 Erlang C model排队系统的模拟，并画出阻塞概率(P)与负载(A=lamda/miu in Erlang)的关系图。用法：运行RunMe,Matlab achieve: Erlang B model (M/M/n/n) and the Erlang C model simulation queuing system, and draw blocking probability (P) and load (A = la
boost_PCM_simulink_in.rar
- 基于平均法的boost型DC/DC建模步骤，包括电压模和峰值电流模。增加了误差放大器放大倍数的确定，电源调整率，负载调整率和三种变换器的一阶等效模型,Based on the average of the boost-type DC/DC modeling steps, including the voltage mode and peak current mode. An increase of the error amplifier to determine the magnificatio
asy_generator_no
- 本例题同样是异步电机的仿真模型，带有不同负载。在MATLAB环境下进行比较。-The sample questions are the same induction motor simulation models, with different load. In the MATLAB environment for comparison.
buck_boost
- 基于平均法的buck_boost型DC/DC建模步骤，包括电压模和峰值电流模。增加了误差放大器放大倍数的确定，电源调整率，负载调整率和三种变换器的一阶等效模型-Based on the average law buck_boost type DC/DC modeling steps, including the voltage mode and peak current mode. An increase of the error amplifier to determine the magni
complex_pump_0_02
- 介绍如何用较复杂的方法去优化对负载具有感知特性的“黑匣子”模型的神经网络控制。-Shows how to use the complex method to optimize a black-box neural network model of a load-sensing
WSN_1
- AdHoc网络中基于负载均衡的多径路由协议研究,一篇不错的WSN论文-AdHoc network-based load balancing approach by the agreement of more research, a good thesis WSN
WSN_3
- 传感器网络中具有负载平衡的移动协助数据收集模式，一篇不错的WSN文章-Sensor network load balancing with the assistance of the mobile data collection mode, a good article WSN
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- AdHoc网络中基于负载均衡的多径路由协议研究,一种不错的WSN论文-AdHoc network-based load balancing approach by the agreement of more research, a good thesis WSN
oneapf
- 基于单位功率因数控制策略的单相有源滤波，去掉非线性负载部分即为单相全控整流。开关器件采用IGBT。-Based on the unity power factor control strategy of single-phase active power filter, remove the part of non-linear load is the single-phase full-controlled rectifier. Switching device IGBT.
1_speed_control_pid
- 这个源码，将使用模式，制定从一个粗略模型到一个基于PID的负载直流电动机控制系统的离散实施。-In this chapter we will use model elaboration to go from a crude model to a discrete implementation of a PID based control system for a DC motor with load.
short-termloadforecastingwithchaostimeseries
- 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The
queueing_theory
- 计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。 模拟一个M/M/k排队系统。 该资料为通信系统排队理论matlab实验内容。-Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic whi
cuk_double_output
- 光伏电源双输出cuk电路，一端负载为电池，本电路实现在光照，负载电流等发生变化时，将输出电压稳定在5 的超调范围内，并附有传递函数，控制器设计的m文件-Solar Power Dual Output cuk circuit, one end of the load cell, in the light of this circuit, the load current and other changes, the output voltage overshoot at the 5 range,
BLDCM
- 无刷直流电机仿真模型，为闭环控制，在外界突加负载的情况下系统也可以迅速稳定-Brushless DC motor simulation model for the closed-loop control, in the case of sudden load outside the system can quickly stabilize
matlab
- 通过matlab仿真，做出单相变压器不同负载性质的相量图-Matlab simulation, to make a single-phase transformer phasor diagram of the different nature of the load
MATLAB-simulink
- 直流电机调速的MATLAB仿真（开环闭环加矫正不加矫正）simulink模型，空载以及有负载的仿真实例。MATLAB simulation of DC motor speed control (open-loop closed-loop plus correction without correction) simulink model, simulation examples, and there are loads of load.-MATLAB simulation of DC motor
yibumotor_DTC_control
- 异步电机直接转矩控制系统仿真： 模型整体结构分为三大部分：主电路部分（直流电源、逆变器、电机）、控制系统部分（采用的是直接转矩控制，所以主要有坐标变换模块，灰色部分，磁链观测器模块，红色部分，直接转矩开关表选择模块，蓝色部分，以及外环的转速调节器ASR）剩下的就是仿真结果波形观测部分（观测信号依次向下为定子ab相线电压、三相定子电流、电机转速、电机电磁转矩） 运行初始条件为以1420r./min的额定转速电机空载启动，在0.3s时刻突加额定负载50牛米。在0.5s时刻电机转速突然下降为120
MMC_conv_ctrl
- 基于MMC控制器控制负载电压,仿真模型搭建有需求的请及时下载(VSC based MMC The controller controls the voltage of the load)
单相半波可控（电阻负载）
- Matlab电力电子仿真，单相半波整流电路（电阻负载）(Matlab power electronic simulation, single-phase half wave rectifying circuit (resistance load))
Elman神经网络预测电力负载
- Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data norm