dtmf

华中科大第八届的程序 拿了赛区的二等奖 关于飞思卡尔智能车电磁组(sensor group)

使用ATMEGA128L控制步进电机的例程(The example of how to control step motor y ATMEGA128L)

采用stm32控制sx1276实现Lora远距离通信(Using STM32 to control sx1276 to realize Lora long-distance communication)

小车循迹，本程序在浙江省机器人大赛中使用，主要是循迹并计数，在合适的地方转向，并通过速度控制(This program is mainly used in Zhejiang Robot Competition. It tracks and counts, turns in the right place, and passes through speed control.)

用430F149控制AD9851的程序 。(AD9851 with 430F149 control procedures.)

风力摆是一种通过风机作为唯一动力驱动的装置,深入研究该系统对空间飞行器、四旋翼无人机的运动状态和卫星姿态控制具有重大意义。(Wind pendulum is a device driven by wind turbine as the only power. It is of great significance to study the motion state of space vehicle, quad-rotor UAV and satellite attitude control.)

说明：  ucoss系统的消息队列，应用于stm32。亲测可用。(The message queue of ucoss system is applied to stm32. The pro-test is available.)

利用DAC0832来产生锯齿波的Proteus图(The use of DAC0832 to generate the sawtooth wave C language )

该驱动程序库包含了I2C总线基本时序以及AT24C系列EEPROM的读写函数.还包含了常用数据格式变量的保存、读取函数。除了字节读写之外，还可以很方便的向EEPROM里写入和读出整型、浮点数、长整型格式的数据。(The driver library includes the basic timing of the I2C bus and EEPROM read and write functions AT24C series. Also includes a common data format for the variable save, reading function. In addition to reading and writing bytes, but also can easily write and read to the EEPROM in the integer, floating point, long integer format.)

电网内的多个风电场风速往往因为其地理位置的远近而有着不同程度的相关性，采用Ｎａｔａｆ 逆变换技术即可建立不同风电场之间具有相关性的风速分布样本空间，进而得到具有相关性的风 电场出力。在仿真过程中考虑风速的不确定性，将每个风电场出力视为一个负的满足威布尔随机 分布的负荷，根据历史数据，用方差—协方差矩阵描述不同风电场相关系数，建立最优潮流模型。 最后，在风电接入改进ＩＥＥＥ　３０及ＩＥＥＥ　１１８节点系统中应用蒙特卡洛仿真计算，定量研究随着风 电场之间相关性的增强，最优潮流结果各项指标的波动情况。(Multiple wind speed within the grid often because of their geographical proximity and have different degrees of relevance, Nataf inverse transform using technology to build wind speed distribution between the sample space with different wind farms correlation, and then get relevant The wind farm output. Consider wind uncertainty in the simulation process, the output of each wind farm to meet the load as a negative Weibull random distribution, based on historical data, variance- covariance matrix of correlation coefficients describing different wind farms, the establishment of optimal fashion models. Finally, to improve access to wind power IEEE 30 and IEEE 118-node system Monte Carlo simulation, quantitative research with enhanced correlation between wind farms, OPF result of fluctuations in the indicators.)