NPFmain

Score: 1182
Uploads: 40
Downloads: 822
Create time: 2009-12-28 16:53:47

Upload log:
inductionmotor.zip - MDL Filename: Induction motor DQ0 model Description: This program illustrates DQ0 modelling of IM when it is operated with simple open loop variable voltage variable frequency strategy in Arbitrary Reference frame
IM_m_code.zip - Filename: Induction motor DQ0 model Description: This program illustrates DQ0 modelling of IM when it is operated with simple open loop variable voltage variable frequency strategy in Arbitrary Reference frame
ajme-2-1-1.zip - Application of Taguchi and FEM to Explore the Surface Properties of Glass Using USM Process
ab6acc5bbf25202_ek.rar - SENSORLESS SPEED PREDICTION OF INDUCTION MACHINES BY USING FLUCTUATION OF ZERO CROSSINGS OF MOTOR CURRENT
E441.rar - BEng (Hons) Mechatronics - E441
Maxwell12fix.rar - the maxwell fix utility free from free sost
Ansoft2008Fix.rar - the ansoft crack universell .. from free soft
Fuzzy-logic_Type2_fuzzyrobo.rar - A FIS Editor file (.fis file) of an obstacle avoiding robot using Fuzzy Logic.
nMatReg.zip - In this model we take sums of u Xv and iteratively optimize parameters of the sums. For paper(s) see pd.hacker.lt
fuzzycont.zip - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, OR PROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
v39-54.zip - A Redefined Quasi-Sliding Mode Control Strategy
plot3d2_gaussian.zip - This program will assist the user to visualize the foot print of type2 fuzzy membership functions in 3 dimensional mode.
nprod.zip - Replacement for normprod that correctly treats 0, Inf, -Inf in the weights.
rndmpair.rar - It randomizes the order of vectors within the matrices
rnnsimv2.zip - RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.
makebottle.zip - This function constructs a bottleneck (or toassociative) neural network.
nntest6.zip - function nntest6(action,flag) NNTEST6 View and Control Neural network. See also SIMUFF. Koos j. den Oudsten, 1-20-99 koos@phil.uu.nl Copyright (c) 1998-99 by KoosSoft vof $Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $ global Xx w1 b1 w2 b2 hidden mlp if nargin < 1 action = start end On recursive calls get all necessary handles and data. if ~strcmp(action, start ) childList = allchild(0) nn_fig = childList(find(childList == gcf)) ud = gco popupvalue = get(ud.popup, Value )
BCFCM_version_1.zip - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT OLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, OR ROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE pOSSIBILITY OF SUCH DAMAGE.
2009Sep_SGA__suspension_FalphaSMC.zip - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, OR PROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
rnnsim.zip - RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim
whjt05_iros.rar - Multi-Agent Quadrotor Testbed Control Design: Integral Sliding Mode vs. Reinforcement Learning
Walchko-1.zip - Development of a Sliding Mode Control System with Extended Kalman Filter Estimation for Subjugator
MED088.zip - 2-Sliding Mode with Adaptation
IJAM_37_1_05.rar - Robust Model Following Load Frequency Sliding Mode Controller Based on UDE and Error Improvement with Higher Order Filter
EL_16_3_06.rar - Adaptive Sliding Mode Control with PID Tuning for Uncertain Systems
87a3.rar - SLIDING MODE CONTROL OF A MAGNETIC LEVITATION SYSTEM
cst99working.zip - Sliding Mode Measurement Feedback Control for Antilock Braking Systems
yang.rar - Application of Sliding Mode Control to a Benchmark Problem*
IEEE_IE_02.rar - IEEE 2002 transaction Speed Sensorless Sliding Mode Torque Control of Induction Motor
CHAP4_DOC.rar - sliding mod controled induction motor
dd.zip - A COMPARISON OF A FLUX OBSERVER WITH A BACK-EMF TECHNIQUE FOR SENSORLESS ROTOR POSITION ESTIMATION
CodeSLAM.zip - EKF-SLAM Simulator (version 2.0) ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates.
S1C.zip - function [ret,x0,str,ts,xts]=s4(t,x,u,flag) s4 is the M-file description of the SIMULINK system named s4. The block-diagram can be displayed by typing: s4. SYS=s4(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.
s4.zip - function [ret,x0,str,ts,xts]=s4(t,x,u,flag) s4 is the M-file description of the SIMULINK system named s4. The block-diagram can be displayed by typing: s4. SYS=s4(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.
C4.zip - function [ret,x0,str,ts,xts]=smg(t,x,u,flag) smg is the M-file description of the SIMULINK system named smg. The block-diagram can be displayed by typing: smg. SYS=smg(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.
C3.zip - M-file for Project 1 on line parameters and circuit models in Chapter 3 m1.m determines the RLC parameters of the line from its physical description and then computes the ABCD matrix and the circuit parameters of the series RL, nominal pi and equivalent pi model of the line. It computes and plot the receiving-end real and reactive power circle diagram of the line assuming that the voltage magnitude at the sending- and receiving-end are kept constant.
S4.rar - function [ret,x0,str,ts,xts]=s4(t,x,u,flag) s4 is the M-file description of the SIMULINK system named s4. The block-diagram can be displayed by typing: s4. SYS=s4(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.
S3.zip - function [ret,x0,str,ts,xts]=s3(t,x,u,flag) s3 is the M-file description of the SIMULINK system named s3. The block-diagram can be displayed by typing: s3. SYS=s3(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.
S2.zip - function [ret,x0,str,ts,xts]=s1(t,x,u,flag) s1 is the M-file description of the SIMULINK system named s1. The block-diagram can be displayed by typing: s1. SYS=s1(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS. Setting FLAG=1 causes s1 to return state derivatives, FLAG=2 discrete states, FLAG=3 system outputs and FLAG=4 next sample time. For more information and
C2.zip - s1 is the M-file description of the SIMULINK system named s1. The block-diagram can be displayed by typing: s1. SYS=s1(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.

Download log:
HFSI.rar - 基于高频电流注入的永磁同步电机初始角检测,具体是旋变高频电流注入。效果不错,外带相关论文几篇,很有参考意义。
slidingmo11.zip - 基于滑模观测器的永磁同步电机矢量控制SIMULINK仿真图
sensorless_MRAS.rar - 基于MRAS无速度传感器的永磁同步电机的仿真模型,可以实现较好的仿真结果。
PMSM_HF.zip - 基于高频注入法的永磁同步电机无传感器控制
sliding-model-observer--pmsm.zip - simulink仿真环境下的基于滑膜观测器的永磁同步电机仿真
matlabguanceqi.zip - 同步电机磁链观测器设计仿真(利用模糊控制)
SlidingModeobserver.zip - 一个基本的异步电机滑膜观测器,包含矢量控制
PSO-PID参数.zip - 利用标准粒子群算法优化PID参数,用以控制直流电机模型
pso GA PID参数整定.rar - 该程序为微粒群算法与遗传算法求解pid参数整定MATLAB程序,优化结果包含参数输出与参数曲线变化图。
PSO&GA.rar - 本文件对PID参数kp,ki,kd进行寻优,以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化,适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程
FOC---svpwm---MATLAB.rar - 异步电机 矢量控制 并采用SVPWM调制 运行结果良好
Sliding-model-observer-based-PMSM.zip - 永磁同步电机系统的滑模观测器设计,非常实用,算法很先进
PMSM_SMO.zip - 滑膜观测器测试,是用simulink搭建的,观测系统误差
IPMSM_sensorless.rar - PMSM Sensorless Matlab&Simulink
Matrix-Converter-Anti-Windup-PMSM.zip - 矩阵变换器永磁同步电机矢量控制,运行性能优良
fuzzy_control_dc_motor.rar - fuzzy controller for dc motor by minimum overshot and rising time
PMSM_GA.zip - 进行永磁同步电机双闭环FOC控制,采用遗传算法优化转速环PI参数
pid_tuuning based ga.rar - pid controller parameter tunnig by genetic algorithm :in this code and simulation file we tunnig pid controller for dc motor by minimum overshot and rising time
constantspeedfuzzylogic.rar - control dc motor by fuzzy logic alogorithm
PISMO.rar - 基于滑膜观测器永磁同步电动机无速度传感器控制模型仿真

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