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