chaoqian.asv

微波技术

function varargout = chaoqian(varargin)
%CHAOQIAN M-file for chaoqian.fig
%      CHAOQIAN, by itself, creates a new CHAOQIAN or raises the existing
%      singleton*.
%
%      H = CHAOQIAN returns the handle to a new CHAOQIAN or the handle to
%      the existing singleton*.
%
%      CHAOQIAN('Property','Value',...) creates a new CHAOQIAN using the
%      given property value pairs. Unrecognized properties are passed via
%      varargin to chaoqian_OpeningFcn.  This calling syntax produces a
%      warning when there is an existing singleton*.
%
%      CHAOQIAN('CALLBACK') and CHAOQIAN('CALLBACK',hObject,...) call the
%      local function named CALLBACK in CHAOQIAN.M with the given input
%      arguments.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help chaoqian

% Last Modified by GUIDE v2.5 12-Jun-2005 13:07:29

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @chaoqian_OpeningFcn, ...
                   'gui_OutputFcn',  @chaoqian_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 chaoqian is made visible.
function chaoqian_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   unrecognized PropertyName/PropertyValue pairs from the
%            command line (see VARARGIN)

% Choose default command line output for chaoqian
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes chaoqian wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = chaoqian_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 chaoqian.
function chaoqian_Callback(hObject, eventdata, handles)
% hObject    handle to chaoqian (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
Val_Selection = get(findobj('Tag','passorzp'),'Value');
Val_clooporopen = get(findobj('Tag','clooporopen'),'Value');



%--------根据判断建立相应的模型---------
switch Val_Selection
%----获得传递函数形式的输入 ---------- 
    case 1
        Handle_numorzero    =      findobj( 'Tag','numorzero');
        Val_numzero         =      get(Handle_numorzero,'String');
        Val_num             =      str2num(Val_numzero);
        
        Handle_denorp       =      findobj('Tag','denorp');
        Val_denp            =      get(Handle_denorp,'String');
        Val_den             =      str2num(Val_denp);
        
        Handle_kedit        =      findobj('Tag','kedit');
        Val_kedit           =      get (Handle_kedit,'String');
        %Val_k               =      str2num(Val_kedit);
        
        num                 =      Val_num%*Val_k;
        den                 =      Val_den;
%获得零极点形式的输入 
    case 2                 
        Handle_numorzero    =      findobj( 'Tag','numorzero');
        Val_numzero         =      get (Handle_numorzero,'String');
        Val_zero            =      str2num(Val_numzero);
        
        Handle_denorp       =      findobj('Tag','denorp');
        Val_denorp          =      get(Handle_denorp,'String');
        Val_p               =      str2num(Val_denorp);
        
        Handle_kedit        =      findobj('Tag','kedit');
        Val_kedit           =      get (Handle_kedit,'String');
        Val_k               =      str2num(Val_kedit);
        
        [num,den]        =      zp2tf(Val_zero,Val_p,Val_k);    
end

%------判断输入模型为开环or闭环并建立相应的模型-------
if (Val_clooporopen ==2)
    [numc,denc] = cloop(num,den);
    sys = tf(numc,denc);
    [z,p,k] = tf2zp(numc,denc);
else 
    numc = num;
    denc = den;
    sys = tf(numc,denc);
    [z,p,k] = tf2zp(numc,denc);
end


Handle_edit5   =    findobj('Tag','edit5');
Val_edit5      =     get(Handle_edit5,'string');
val5          =      str2num(Val_edit5);

Handle_edit6   =    findobj('Tag','edit6');
Val_edit6     =     get(Handle_edit6,'string');
val6          =     str2num(Val_edit6);


  %当选择使用超前校正方法时
  %根据稳态误差要求求出增益kc
   n1 = length(numc);
   n2 = length(denc);
   if denc(n2) ~= 0
       kc = numc(n1)*val5/denc(n2);
  elseif denc(n2-1) ~=0
       kc = numc(n1)*val5/denc(n2-1);
  elseif denc(n2-2) ~=0
       kc = numc(n1)*val5/denc(n2-2);
  end