搜索资源列表
tunningPIDbyPSO.zip
- 埃及人wael korani写的采用粒子群算法（pso）代码调用simulink模型优化pid参数，与大家共享,Wael korani Egyptians wrote using particle swarm optimization (pso) code pid call simulink model optimization parameters, and share
POS-PID
- 运用粒子群优化算法对PID控制器进行优化设计，通过matlab实现-The use of particle swarm optimization algorithm to optimize the design of PID controller, through matlab to achieve
NCD
- 基于NCD与优化函数结合的非线性优化PID控制 -improved pid control based on NCD
PID
- 采用遗传算法直接优化数字PID控制器参数,并控制一个带时延的系统,仿真结果表明遗传算法收 敛较快,得到的PID控制器控制效果明显优于传统的PID控制。 -Optimize the use of genetic algorithms directly figure PID controller parameters and control a system with time delay, simulation results show that the rapid convergence
ga-PID
- 利用遗传算法优化pid控制器三个参数的matlab程序-The use of genetic algorithm to optimize the three parameters of pid controller matlab program
BP神经网络PID算法_matlab程序
- 神经网络优化pid控制程序的matlab文件，(Neural Network Optimization PID m file)
利用PSO算法优化求解PID参数
- PSO粒子群优化的PID参数，通过matlab平台C语言来编写，达到优化控制的目的(PSO particle swarm optimization PID parameters, through the MATLAB platform C language to write, to achieve the purpose of optimization control)
pso_PID_opt_3
- 一种简单的matlab中的pid算法，用于随机搜索优化算法优化PID参数,(Random search optimization algorithm to optimize PID parameters)
PID+ PSO
- 通过粒子群算法优化PID控制中的一些参数，(Some parameters in PID control are optimized by PSO.)
粒子群算法优化PID参数实例1
- 粒子群算法优化PID参数实例+matlab代码学习研究(Optimization of PID parameters by particle swarm optimization)
PSO-PID参数
- 利用标准粒子群算法优化PID参数，用以控制直流电机模型(The standard particle swarm optimization (PSO) algorithm is used to optimize the PID parameters to control the DC motor model)
遗传算法优化pid
- 使用遗传算法对pid进行优化，m文件调用模型文件，直接出结果(Using genetic algorithm to optimize PID, m file calls model files, directly results.)
遗传算法优化pid
- fun1为适应度函数 GA_optima为优化pid的主函数 mainopt.slx为适应度函数里面调用的模型 test.slx为比较模型(Fun1 is the fitness function GA_optima is the main function to optimize pid Mainopt.slx is the model called inside the fitness function Test.slx is the comparison model)
遗传算法PID
- 利用遗传算法优化PID参数，自动搜索最有 的PID参数(Using genetic algorithm to optimize PID parameters and automatically search the most PID parameters)
chapter14 基于粒子群算法的PID控制器优化设计
- 利用粒子群算法对PID参数进行优化，有利于初学者的学习和参考。(Using particle swarm optimization to optimize the parameters of PID is beneficial to beginners'learning and reference)
遗传算法优化simulink中PID参数
- 利用matlab编写基于遗传算法优化PID控制器(Matlab programming PID controller)
粒子群算法优化pid源码 matlab仿真
- 粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)
matlab仿真PID参数整定 源代码+仿真图
- 用MATLAB仿真PID控制，其中用simulink建仿真模型，用matlab语言编写PSO算法用于优化PID参数整定。(Matlab is used to simulate PID control, in which Simulink is used to build simulation model, and PSO algorithm is written in MATLAB language to optimize PID parameter setting.)
BP神经网络优化PID程序
- 通过BP神经网络实现PID参数在线正整定。(The PID parameters are set online through BP.)
pso-bp 优化pid
- pso-bp 优化pid，粒子群算法优化bp神经网络