代码搜索:力矩补偿
找到约 325 项符合「力矩补偿」的源代码
代码结果 325
www.eeworm.com/read/152136/12137163
frm frmrebut.frm
VERSION 5.00
Object = "{6B7E6392-850A-101B-AFC0-4210102A8DA7}#1.3#0"; "comctl32.ocx"
Begin VB.Form frmReBuT
BorderStyle = 3 'Fixed Dialog
Caption = "住房分配补偿情况"
ClientHei
www.eeworm.com/read/193344/8236393
frm frmrebut.frm
VERSION 5.00
Object = "{6B7E6392-850A-101B-AFC0-4210102A8DA7}#1.3#0"; "comctl32.ocx"
Begin VB.Form frmReBuT
BorderStyle = 3 'Fixed Dialog
Caption = "住房分配补偿情况"
ClientHei
www.eeworm.com/read/300290/13921502
config_system
[system]
采集等待=2000
控制操作=200
无机台设置=2.000000
高温停机值=800.000000
加热器停止控制=460.000000
风门开启控制=520.000000
重采次数=2
温度主控点=5
历史数据保存频率=2
[补偿]
www.eeworm.com/read/300290/13921592
config_system
[system]
采集等待=1500
控制操作=200
无机台设置=1.000000
高温停机值=800.000000
加热器停止控制=460.000000
风门开启控制=520.000000
重采次数=2
温度主控点=9
历史数据保存频率=2
[补偿]
www.eeworm.com/read/300290/13921666
config_system
[system]
采集等待=1500
控制操作=200
无机台设置=1.000000
高温停机值=800.000000
加热器停止控制=460.000000
风门开启控制=520.000000
重采次数=2
温度主控点=9
历史数据保存频率=2
[补偿]
www.eeworm.com/read/460712/7105384
m chap9_2.m
clear all;
close all;
load Fi_file;
Fi=F_iden; %静态摩擦力矩估计值
w=[-1:0.05:1]'; %取一组恒定转速
N=size(w,1);
Size=100; %种群规模
CodeL=8; %参数个数
MinX=zeros(CodeL,1); %参数搜索范围
MaxX(1:2)=ones(2,
www.eeworm.com/read/441920/7663171
m main.m
clear all;
close all;
load Fi_file;
Fi=F_iden; %静态摩擦力矩估计值
w=[-1:0.05:1]'; %取一组恒定转速
N=size(w,1);
Size=100; %种群规模
CodeL=8; %参数个数
MinX=zeros(CodeL,1); %参数搜索范围
MaxX(1:2)=ones(2,
www.eeworm.com/read/439271/7713678
m chap9_2.m
clear all;
close all;
load Fi_file;
Fi=F_iden; %静态摩擦力矩估计值
w=[-1:0.05:1]'; %取一组恒定转速
N=size(w,1);
Size=100; %种群规模
CodeL=8; %参数个数
MinX=zeros(CodeL,1); %参数搜索范围
MaxX(1:2)=ones(2,
www.eeworm.com/read/445391/7595903
m test_cone_error.m
clear
close
glvs
load test_cone_gen_1deg_1Hz.mat
n = 2; %子样数
qnb_calcu = qnb0;
for k=n:n:length(dthetak)
dtheta = dthetak(k-n+1:k,:)';
phi = cnscl(dtheta); %圆锥误差补偿
www.eeworm.com/read/434390/7869314
m test_cone_error.m
clear
close
glvs
load test_cone_gen_1deg_1Hz.mat
n = 2; %子样数
qnb_calcu = qnb0;
for k=n:n:length(dthetak)
dtheta = dthetak(k-n+1:k,:)';
phi = cnscl(dtheta); %圆锥误差补偿