91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

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    發布日期: 2021-05-12
  • 語言: 其他
  • 標簽: PSO??PID??優化??

資源簡介

PSO算法優化求解PID參數，算法是在基本PSO算法的慣性權重部分加入一個調節因子項,通過調節因子的調節,改善了算法的收斂性。仿真結果表明,IPSO算法可以更好地優化PID控制器的參數,使控制系統具有更好的控制性能。

資源截圖

代碼片段和文件信息 

%%?Initialization
clear
clc
n?=?50;???????????%?Size?of?the?swarm?“?no?of?birds?“
bird_setp??=50;???%?Maximum?number?of?“birds?steps“
dim?=?2;??????????%?Dimension?of?the?problem

c2?=1.2;??????????%?PSO?parameter?C1?
c1?=?0.12;????????%?PSO?parameter?C2?
w?=0.9;???????????%?pso?momentum?or?inertia??
fitness=0*ones（nbird_setp）;

???????????????????????????????????????%-----------------------------%
???????????????????????????????????????%????initialize?the?parameter?%
???????????????????????????????????????%-----------------------------%
???????????????????????????????????????
R1?=?rand（dim?n）;
R2?=?rand（dim?n）;
current_fitness?=0*ones（n1）;

?????????????????????????????????%------------------------------------------------%
?????????????????????????????????%?Initializing?swarm?and?velocities?and?position?%
?????????????????????????????????%------------------------------------------------%
?????????????????????????????????
current_position?=?10*（rand（dim?n）-.5）;
velocity?=?.3*randn（dim?n）?;
local_best_position??=?current_position?;


?????????????????????????????????%-------------------------------------------%
?????????????????????????????????%?????Evaluate?initial?population???????????%???????????
?????????????????????????????????%-------------------------------------------%

for?i?=?1:n
????current_fitness（i）?=?tracklsq（current_position（:i））;????
end


local_best_fitness??=?current_fitness?;
[global_best_fitnessg]?=?min（local_best_fitness）?;

for?i=1:n
????globl_best_position（:i）?=?local_best_position（:g）?;
end
???????????????????????????????????????????????%-------------------%
???????????????????????????????????????????????%??VELOCITY?UPDATE??%
???????????????????????????????????????????????%-------------------%

velocity?=?w?*velocity?+?c1*（R1.*（local_best_position-current_position））?+?c2*（R2.*（globl_best_position-current_position））;

???????????????????????????????????????????????%------------------%
???????????????????????????????????????????????%???SWARMUPDATE????%
???????????????????????????????????????????????%------------------%
???????????????????????????????????????????????
????????????
current_position?=?current_position?+?velocity?;

???????????????????????????????????????????????%------------------------%
???????????????????????????????????????????????%??evaluate?anew?swarm???%
???????????????????????????????????????????????%------------------------%
???????????????????????????????????????????????

%%?Main?Loop
iter?=?0?;????????%?Iterations抍ounter
while??（?iter?iter?=?iter?+?1;

for?i?=?1:n
current_fitness（i）?=?tracklsq（current_position（:i））?;????
end


for?i?=?1?:?n
????????if?current_fitness（i）????????????local_best_fitness（i）??=?current_fitness（i）;??
???????????local_best_position（:i）?=?current_position（:i）???;
????????end???
?end

??
?[current_global_best_fitnessg]?=?min（local_best_fitness）;
??

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件??????14694??2008-06-11?20:03??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO\html\PSO.html

????..A.SH.??????9728??2008-06-11?20:36??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO\html\Thumbs.db

?????文件??????29696??2008-01-18?21:25??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO\optsim1.mdl

?????文件???????3718??2011-06-22?16:45??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO\PSO.m

?????文件????????723??2008-06-11?19:38??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO\tracklsq.m

?????目錄??????????0??2011-06-28?11:17??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO\html

?????目錄??????????0??2011-06-28?11:18??PSO算法優化求解PID參數?（2）\tunning?PID?by?PSO

?????目錄??????????0??2017-03-23?09:10??PSO算法優化求解PID參數?（2）

-----------?---------??----------?-----??----

????????????????58559????????????????????8


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