Description: PID控制器的性能取决于Kp、Ki、Kd这3个参数是否合理，因此，优化PID控制器参数具有重要意义。目前，PID控制器参数主要是人工调整，这种方法不仅费时，而且不能保证获得最佳的性能。PSO已经广泛应用于函数优化、神经网络训练、模式分类、模糊系统控制以及其它应用领域，本案例将使用PSO进行PID控制器参数的优化设计。-Performance of PID controller depends on the Kp, Ki, Kd these three parameters are reasonable, therefore, to optimize PID controller parameters is important. Currently, PID controller parameters are mainly manual adjustment, this method is not only time consuming, but can not guarantee optimum performance. PSO has been widely used function optimization, neural networks, pattern classification, fuzzy systems control and other applications, in this case using the PSO is optimized PID controller parameters. Platform: |
Size: 1024 |
Author:任凡 |
Hits:
Description: 本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。
PSO 文件中有详细的参数设置和寻优过程
GA寻优与PSO寻优作为对比出现
figure1展示了随着迭代次数的变化，适应度函数的收敛情况
figure2展示了kp,ki,kd的迭代情况
ht 文件是用来画图的
问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is used as the index function.
PSO file has detailed parameter settings and optimization process
GA optimization and PSO optimization as a contrast appear
Figure1 shows the convergence of fitness function as the number of iterations changes
Figure2 shows the iterations of KP, Ki, and KD
The HT file is used for drawing
The problem solving idea.Pdf briefly introduces the process of particle swarm optimization) Platform: |
Size: 254976 |
Author:大燕
|
Hits:
Search - optimization pso ki