搜索资源列表
遗传算法对PID参数的优化
- 遗传算法对PID参数的优化，这是在Matlab下编写的！-genetic algorithm to optimize the parameters of PID, which is prepared in Matlab!
PID
- 基于神经网络的参数自整定PID控制算法源代码 具有很强的使用价值 经过测试 可以运行-The parameters based on neural network self-tuning PID control algorithm has a strong value the source code has been tested to run
pid
- 单纯形法整定pid参数,simulink环境,单纯形法很依赖初值的选取,在canshu.m中输入初始值。-Simplex method pid tuning parameters, simulink environment, simplex method is very dependent on the selection of initial value, in canshu.m enter the initial value.
GAIJIN-BP-PID-BINGXING
- 基于改进的BP神经网络整定的PID控制,本程序采用了改进的BP神经网络对PID参数进行调整-Based on the improved BP neural network-tuning PID control, this program uses an improved BP neural network to adjust PID parameters
PID
- PID控制算法源代码,详细的注解,在实际应用中,P参数,I参数,D参数,怎么进行整定-PID control algorithm source code, detailed annotations, in practical applications, P parameters, I parameter, D parameters, how to setting
matlab-pid
- 基于蚁群算法的PID控制参数优化Matlab源码,步骤详细，附有说明。-PID Control Based on Ant Colony Optimization Algorithm for Matlab source, the steps in detail, with explanation.
ymw
- 1. 采用增量式 PID控制算法实现该系统的稳定控制 2. 采用Z—N整定PID参数-1. An incremental PID control algorithm to achieve the system' s stability control 2. Using Z-N tuning PID parameters
PID-Matlab
- 基于蚁群算法的PID参数优化matlab实现源码，参数优化，人工智能。-PID parameters based on ant colony optimization matlab source implementation, parameter optimization, artificial intelligence.
PID-Matlab
- ：针对PID参数复杂烦琐的整定过程这一问题，基于MATLAB／Simulink仿真环境，模拟工程稳 定边界法的PID参数整定策略和步骤，提出了一种简单有效的PID参数整定方法．与通常的整定方法 比较，其优点是非常直观、完全可视化操作、省去了编程的工作量．仿真结果表明该方法具有良好的收 敛性，使得控制系统动态性能得到有效改善，并且很大程度上减少了工作量．-Abstract：The process of PID parameters turning is complicated and
Optimal-design-of-PID-parameter
- 研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。- study the optimal design of PID parameter of the control system based on Particle Swarm Optimization and find a way to improve the PID control.
PID-control-based-BP
- 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
tunning-PID-by-PSO
- 利用PSO算法优化求解PID参数,已发表文章,效果很好--Use of PSO algorithm for solving PID parameters, has published an article very good
PSO--PID
- 利用一种PSO算法优化求解PID参数，得到了良好效果-Using a PSO algorithm for PID parameter optimization solution, to get good results
遗传算法求解PID数值
- 利用matlab基于遗传算法求解pid数值(Using MATLAB to solve PID numerical value based on genetic algorithm)
主要程序
- 粒子群算法的仿真程序，并采用典型benchmark进行演示分析； 然后，应用粒子群算法进行热工过程水轮机系统模型辨识，matlab软件可直接运行； 采用粒子群算法与PID参数整定进行联合仿真，用以提高PID控制器对热工过程水轮机的控制性能。(Particle swarm algorithm simulation program, and the use of a typical benchmark for demonstration analysis; Then, the particle
pso GA PID参数整定
- 该程序为微粒群算法与遗传算法求解pid参数整定MATLAB程序，优化结果包含参数输出与参数曲线变化图。(The program solves the PID parameter tuning MATLAB program for particle swarm optimization and genetic algorithm, and the optimization results include parameter output and parameter curve change dia
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)
基于粒子群算法和遗传算法的PID参数优化
- 基于粒子群算法和遗传算法的PID参数优化程序和相应文档(The Optimization of PID Parameters Based on Particle Swarm Optimization and Genetic Algorithm)
基于PSO的PID参数自整定程序
- 该算法对pid控制器参数进行整定，pso能够对参数实现优化，且有良好的收敛性。(The algorithm tunes the parameters of the PID controller. The PSO can optimize the parameters and has good convergence.)
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.)