ASP_EMD_Matlab-master

说明：  通过移相，可实现三相桥并联出十二脉波整流。(By phase shifting, 12 pulse rectification can be realized by three-phase bridge in parallel.)

CP1604firmware版本2.6

实现三相交流输入，产生直流电压，并且调制技术采用了SVPWM。(three phase rectifier with SVPWM)

说明：  2018年IEEE进化计算大会（CEC）提出的全局优化问题的新的启发式算法。 土狼优化算法（COA）是由Juliano Pierezan和Leandro dos Santos Coelho（2018）提出的用于全局优化的自然启发的元启发式算法，包含完整matlab代码。不同于灰狼算法，COA算法并没有等级制度。(In 2018, IEEE conference on evolutionary computation (CEC) puts forward a new heuristic algorithm of global optimization problems. Hyenas optimization algorithm (COA) is by Juliano Pierezan and Leandro DOS Santos Coelho, (2018) proposed a heuristic algorithm for global optimization of nature inspired, contains the complete matlab code. Of COA is different from the grey Wolf is not hierarchical)

说明：  基STm32的电机控制程序开发教程以及无刷电机详细介绍(Development of Motor Control Program Based on STm32, Source Code and Related Tutorials)

说明：  stm32图像采集上位机源码，来源于网络平台，仅供学习而用(STM32 image acquisition host computer source code, from the network platform, only for learning)

完美國際外掛完美國際外掛完美國際外掛

说明：  多目标柔性作业车间调度问题(Multiobjective Flexible Job-shop Scheduling Problem, MFJSP)是复杂的 NP-hard 问题，相较于基础的车间调度问题更符合实际情况，求解难度也相对较高。，该算法主要通过模拟蜜蜂的觅食来解决实际问题。由于 ABC 算法具有搜索速度快、精度高、鲁棒性强等优点，在车间调度领域得到广泛应用。(Multiobjective Flexible Job-shop Scheduling Problem, MFJSP)

协同区间偏最小二乘 siPLS算法是 N rgaard等对其提出 的 iPLS方法的改进, 其基本算法步骤如下:(1)对原始谱图进行 预处理;(2)在全谱范围内建立全局偏最小二乘模型, 即上节的 模型;(3)在整个光谱区间采用 iPLS建立多个等窗口宽度的子 区间, 假设为 n个;(4)在每个子区间上建立偏最小二乘法模型, 即可得到 n个局部模型;(5)以交叉验证时的均方根误差 RMSE 值为各模型的精度衡量标准, 比较全光谱模型和各局部模型的 精度;(6)组合精度最高的局部子区间为新的回归区间;再在新 的回归区间建立 siPLS模型(Cooperative interval partial least squares (siPLS) algorithm is proposed by N rgaard et al. The improvements of the iPLS method are as follows: (1) the original spectrogram is performed. Preprocessing; (2) establishing a global partial least squares model in the full spectrum, that is, the upper part of the model. Model; (3) use iPLS to establish multiple equal window widths in the whole spectral interval. The interval is assumed to be n; (4) a partial least squares model is established on each sub interval. N local models can be obtained; (5) the root mean square error of cross validation is RMSE The values are the accuracy criteria of each model, and the comparison between the full spectral model and the local models is made. (6) the local interval with the highest combined precision is a new regression interval; and then new. The establishment of siPLS model in the regression interval)

说明：  点击标签添加到面板代码是一款点击按钮将选中标签添加到面板上(Click on the label to add to the panel code is a click button to add the selected label to the panel)