粒子群优化算法的寻优算法——非线性函数极值寻优

BLDC Motor Modelling and Control – A Matlab® /Simulink® Implementation

LZ compression LZ decompression

此程序详细分析了LORENZ，利用GP算法进行了分析，其程序算法较快，有待继续改进(A detailed analysis of this process LORENZ, the use of GP algorithm is analyzed, the program algorithm faster, be to continue to improve)

质心仿真，质心定位算法的数据仿真 用于质心算法相关的模拟和分析(Centroid simulation, centroid location algorithm simulation data associated centroid algorithm for simulation and analysis)

The most critical problem to solve is how to design and tune the power electronic components in the inverter to cooperate in the best manner possible. How can voltage transients, oscillations and losses be reduced to a minimum? Could this be done with help of snubber circuits?

本程序是根据3gpp中tdd协议中的下行导频码的结构构造的导频码捕获的程序，在该程序中针对导频码的结构独创性的提出了加功率窗法的捕获，比普通的方法效率搞 用matlab编的(This procedure is based on 3GPP TDD agreement in the downlink pilot code structure of the pilot code acquisition procedure, in the pilot program code for the structure of original proposed law plus power window capture, than the ordinary efficient method to engage with matlab series)

光纤光栅特性分析，对光纤光栅的反涉率特性进行了详细的研究 (Optical fiber Bragg grating characteristic analysis of fiber grating, the characteristics of the involvement of the detailed study)

SeDuMi 是一个求解半正定规划的算法包，这是项目最新发布的源代码。(Welcome to SeDuMi 1.3 SeDuMi is a Matlab Toolbox for Linear, Second order, Semidefinite or mixed problems. It can handle free variables and complex data as well. To obtain the latest version of SeDuMi, see http://sedumi.ie.lehigh.edu Installation instructions can be found in the file Install.txt After you installed the binaries please type help sedumi in Matlab to get more information. Example problems can be found in the folder /examples, documentation is in /doc. For a list of changes check the file Changelog.txt.)

说明：  转速电流双闭环电机控制仿真，转矩脉动有些大，速度还可以。 (Current double closed-loop motor speed control simulation, some large torque ripple and speed also.)

一个关于matlab优化工具箱GOT中的遗传算法函数（GA）和全局优化算法函数（Globalsearch）优化能力的小对比，前者寻优快，但是结果不稳定，在风电场协同有功出力优化上面甚至可能比不过传统的单个风机层面的优化。后者计算量大，耗时较长，但是每次计算结果稳定，较传统单台风机层面优化有少量的提升。Tips:1,本文风场的建模只是采用了PARK模型，实际风场的气动过程应该还要复杂一些，未经实际风场验证，权当是工程优化入门 2,单个风机层面的功率系数Cp参数来源于NREL 5MW模型，跟实际叶片气动性能有关，可靠性未知。3,这种风场级别的协同优化主要考虑尾流因而更加适用于地形较平坦的风电场。《基于风机运行参数协同设定的风电场有功出力优化》是部分由这个程序支撑的，欢迎交流。(The classical operation strategy of a wind farm works with a principle that each wind turbine converting as much aerodynamic power as available the incoming airflow. But this does not guarantee that the power converted by the whole wind farm be a maximum due to the wake effect. Unlike the conventional operation, this paper proposes the collaborative setting of the operation point of each turbine so that the overall production of the wind farm is maximized. The optimization is performed by Matlab Global Optimization Toolbox(GOT) based on a PARK wake model accompany with the area-weighted quadratic sum method. The strategy was proved applicable in many cases by sensitivity analysis. As an important side effect, the proposed method also allows decreasing the added turbulence, hence the mechanical load produced by wakes. As a consequence, the overall wind farm availability is increased. )