📄 myhelp.m
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function varargout = myhelp(varargin)
% MYHELP M-file for myhelp.fig
% MYHELP, by itself, creates a new MYHELP or raises the existing
% singleton*.
%
% H = MYHELP returns the handle to a new MYHELP or the handle to
% the existing singleton*.
%
% MYHELP('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in MYHELP.M with the given input arguments.
%
% MYHELP('Property','Value',...) creates a new MYHELP or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before myhelp_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to myhelp_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Copyright 2002-2003 The MathWorks, Inc.
% Edit the above text to modify the response to help myhelp
% Last Modified by GUIDE v2.5 11-Jun-2005 02:23:08
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @myhelp_OpeningFcn, ...
'gui_OutputFcn', @myhelp_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before myhelp is made visible.
function myhelp_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to myhelp (see VARARGIN)
handle_text=findobj('tag','helpout');
str(1)={' 在此界面将显示本《控制理论CAI》的使用帮助,请点击左边相关按钮以查看相关项的使用帮助'};
str(2)={' '};
str(3)={' 本软件主要包括经典控制理论部分的一些模型转换、系统分析、典型控制系统模拟以及串联校正分析等。 它可方便广大同学学习控制理论这门课程,使那些不熟悉MATLAB软件的同学也能够较好地使用MATLAB提供的资源来更好地学习控制理论这门课程。此外,本软件也可供工程技术人员在进行一些控制系统分析时参考。'};
str(4)={' '};
str(5)={'注意:在当输入不符合规范及超出本软件所允许的范围时,本软件的界面上将不出现任何结果,同时,在MATLAB主界面的command windows中,将显示出错情况'};
set(handle_text,'string',str)
% Choose default command line output for myhelp
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes myhelp wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = myhelp_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in pushbutton20.
function pushbutton20_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton20 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handle_text=findobj('tag','helpout');
str(1)={' 本程序用于进行滞后校正'};
str(2)={' 首先,选择系统模型,此程序可以在传递函数/零极点函数,以及在闭环函数/开环函数之间转换。'};
str(3)={' 当选择传递函数时,只需输入分子和分母就可以了。当选择零极点模型时,需输入零点、极点、增益。'};
str(4)={' 对于系统参数应输入稳定系统所允许的静态误差值和相位裕量值,然后点击中间的按钮“滞后校正”进行校正。'};
str(5)={' 校正后会出现两个图:figure1为伯德图,figure2阶跃响应曲线。在伯德图中将出现三条曲线,其中红色的为原系统的伯德图,绿色的为校正环节的伯德图,蓝色为校正后的伯德图。'};
set(handle_text,'string',str)
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handle_text=findobj('tag','helpout');
str(1)={' 传递函数模型转换成零极点模型:'};
str(2)={' 在左边的文本框中分别输入原模型的分子和分母,然后点击“转换=〉”按钮,右边的文本框中就会出现与其前面标签相对应的数值。'};
str(3)={' 注意:若某个结果值为空,则表明该值为“Empty matrix: 0-by-1”,即为空矩阵。'};
str(4)={' 其具体函数将在MATLAB的command windows面板显示'};
set(handle_text,'string',str)
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handle_text=findobj('tag','helpout');
str(1)={' 零极点模型转换成传递函数模型:'};
str(2)={' 在左边的文本框中分别输入原模型的零点值、极点值、增益值,然后点击“转换=〉”按钮,右边的文本框中就会出现与其前面标签相对应的数值。'};
str(3)={' 注意:由于零极点值组成矩阵,在输入数值时,在每个元素之间应该输入分号(“;”)。'};
str(4)={' 其具体函数将在MATLAB的command windows面板显示'};
set(handle_text,'string',str)
% --- Executes on button press in pushbutton31.
function pushbutton31_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton31 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%传递函数to 状态方程
handle_text=findobj('tag','helpout');
str(1)={' 此处进行传递函数模型转换成状态空间形式:'};
str(2)={' 由于本软件主要用于研究线性定常系统,故在这里设计时只考虑到线性定常系统,状态空间模型的 A,B,C,D数值必须为一位数的形式,否则将会出错。故在输入时分子,分母的每个数值都最多为两位。'};
str(3)={' 其具体函数将在MATLAB的command windows面板显示'};
set(handle_text,'string',str)
% --- Executes on button press in pushbutton30.
function pushbutton30_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton30 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%状态to传递
handle_text=findobj('tag','helpout');
str(1)={' 此处进行状态空间形式转换成传递函数模型: '};
str(2)={' 由于本软件主要用于研究线性定常系统,故在这里设计时只考虑到线性定常系统,状态空间模型的 A,B,C,D数值必须为一位数的形式,否则将会出错。故在输入时注意每个数应为一位的数值。 '};
str(3)={' 其具体函数将在MATLAB的command windows面板显示'};
set(handle_text,'string',str)
% --- Executes on button press in pushbutton29.
function pushbutton29_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton29 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%零极点to状态
handle_text=findobj('tag','helpout');
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