PID水量控制仿真演示系统(上载)

关于各种电机的PWM程序： 工程1，采用C语言完成的主要功能有 1：用定时器1中断让LED闪烁； 2：用定时器2的比较单元产生一路PWM； 3：用EVB模块产生6路PWM； 另外四个汇编程序依次分别是： SVPWM（软件法）程序， 交流异步矢量程序， 直流双极性双闭环可逆控制程序， 和采样SPWM程序。 (PWM motor on a variety of programs: Project 1, using C language to complete the main functions 1: The Timer 1 interrupt enable LED blinking 2: Timer 2 compare unit produces all the way PWM 3: EVB module produces 6 Road PWM Followed by four other assembler are: SVPWM (software method) program, Induction vector process Double Closed Loop DC bipolar reversible control procedures, And sampling SPWM procedures.)

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说明：  MYQ，项目。刚做不会请高手指点。里面的东西。。请看看那(MYQQ)

自己搭建的MATLAB-SIMULINK环境下的级联多电平逆变器基本单元 包括自己搭建的触发电路(MATLAB-SIMULINK environment to build their own cascade multi-level inverter basic unit includes a trigger circuit to build their own)

这是一本系统介绍设计模式的好书,非常适合有一定编程基础的人士阅读。(This is a good book to introduce design pattern systematically!)

基于软核Nios的宽谱正弦信号发生器设计(Based on a wide spectrum of soft-core Nios design sinusoidal signal generator)

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Programming embebbed software from Oreylly

解决全局变量在编程时遇到的疑惑，值得一看。有很好的参考价值。(To resolve global variables encountered in the programming of doubt, worth a visit. Have a very good reference value.)

在根据网络学习的特点、建立网络学习评价系统指标体系的基础上，提出利用模糊熵理论评价网络学习效果的模型。 该模型通过熵权法对各评价指标权重进行修正得到客观权重值，并与主观权重结合计算出综合权重，然后利用模糊理论进 行处理得到综合评价值，改善了传统评价方法主观因素影响过多的弊端，提高了评价结果的可信度，并实验验证了该方法 的可行性和正确性，确保了网络学习评价公平公正地进行。(In accordance with the characteristics of learning, networking learning evaluation system based on the index system is proposed using fuzzy entropy evaluation of network learning models. The model entropy method for the evaluation index weights amendment is objective weights, and with the subjective weights combined to calculate the overall weight, and then use fuzzy theory to handle any comprehensive evaluation, to improve the traditional evaluation of subjective factors, too much defects and improve the credibility of evaluation results, and experimental verification of the feasibility and correctness, ensuring fair and equitable evaluation of learning for.)