r142lb-0.4.22.tar

矿用电机车电控系统有两种,一种是有触点的电控系统,另一种是脉冲调速系统。以晶闸管为主要元件的脉冲调速系统在矿用电机车中仍大量使用。晶闸管属于半控型器件,其控制极只能控制开通而不能控制其关断,在低速运行时,晶闸管一经导通后,如果不能根据需要关断,则电动机承受全部电压而失去控制,电机车全速运行。本文利用MATLAB软件对矿用电机车晶闸管脉冲调速系统的主电路进行建模并仿真,对影响安全运行的关键元器件进行了详细的分析。仿真结果表明晶闸管脉冲调速系统存在安全隐患。随着电子工业的飞速发展,一种新型的全控型电力器件(绝缘门极晶体管IGBT)开始在工业中得到广泛的应用,脉冲调速电控系统如采用全控型电力器件代替半控型元器件(晶闸管),将会大大简化控制电路。由于控制电路简单,便于实现数字化控制。本文对IGBT的调速原理进行分析,采用IGBT和集成PWM脉宽调制器SG3525为主要元件,设计出了双闭环可逆自动调速系统,并对该系统进行实验验证,实验结果表明该系统优于晶闸管直流调速系统,而且运行稳定,可以很方便实现可逆运行。(Mine electric locomotive electronic control system has two types of electronic control system with contacts, and the other is the pulse speed control system. The pulse thyristor as the main component in the mining electric locomotive speed control system is still widely used. A semi-controlled thyristor type devices, the control can only control a very open and can not control the turn-off, in the low speed, the thyristor turn-on once, if not turned off as needed, then the loss of the motor under full voltage control, motor vehicle running at full speed. In this paper, MATLAB software mining electric locomotive speed control system pulse thyristor main circuit modeling and simulation, the key components of the safe operation of a detailed analysis. Simulation results show that the thyristor pulse control system security weaknesses. With the rapid development of the electronics industry, a new full-controlled power devices (Insulated Gate Transistor IGBT) began to be widely used in indu)

Library for computing areas

利用matlab建立的一个简单CSTR模型，带有pid控制回路(A CSTR model built by matlab code with a PID controller)

基于Markov方法的风机出力预测方法，具有较强的可转换性(The method of wind power forecast using Markov)

pak msk gmsk的性能比较.功率谱以及误码率的比较，可以出图。(psk msk gmsk)

source code of rayleigh fading environment

GUI Application M-file for GUI.fig

principal component analysis(PCA)主成分分析，Matlab实例代码(principal component analysis(PCA))

贡献一个Dynamic Copula Toolbox 3.0资源(Contribution to a Dynamic Copula Toolbox 3.0 Resource)

可逆跳转马尔科夫链蒙特卡罗算法，可用于图像处理、音频处理等领域，其中有详细解释(rjmcmc simulation aims at approximate a noisy nolinear function)