Description: -PID controller has been extensively
used in the industrial world. But in this controller it is difficult to tune the PID gains.
We apply the genetic algorithm(GA) to tune the PID gains. The GA is an optimization algorithm using the biotic genetics.
-- PID controller has been extensively used in the industrial world. But in this controller it is difficult to tune the PID gains. We apply the genetic algorithm (GA) to the tune PID gains. The GA is an optimization algorithm using the biotic genetics . Platform: |
Size: 104448 |
Author:余志华 |
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Description: 蚁群算法优化ＰＩＤ参数．．只运行ant.m这个文件就行了-Ant Colony Algorithm Optimization of PID parameters. . Run only ant.m the document on the list Platform: |
Size: 5120 |
Author:张学进 |
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Description: bp神经网络用于PID控制器的参数优化,程序可以直接运行,具有很好的优化效果!-bp neural network for parameter optimization of PID controller, the program can be directly run, with good effect to optimize! Platform: |
Size: 1024 |
Author:liyan |
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Description: These are matlab and simulink files to model the membrane crystallization system, including the matlab file to get the optimation point of this system, and 3 simulink files, which are static model and 2 dynamic models. There has PID control and feed forward control for the dynamic models. Platform: |
Size: 47104 |
Author:eddyye |
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Description: 遗传算法的PID调节
题目：已知 ，利用GA 寻优PID参数，其中K=1，T=2， ，二进制/实数编码，位数不限，M，Pc，Pm自选，性能指标 ，Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the median, M, Pc, Pm-on-demand, performance indicators, Q = 100 step for the simulation. Platform: |
Size: 2048 |
Author:qiqi |
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Description: 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. Platform: |
Size: 2048 |
Author:程玉昆 |
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Description: 人工智能（模糊在自动控制的应用）电动机控制中的简单遗传算法PID参数优化-Artificial intelligence (fuzzy in Automatic Control) motor control in the simple genetic algorithm optimization of PID parameters Platform: |
Size: 3072 |
Author:卡卡 |
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Description: 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. Platform: |
Size: 267264 |
Author:durongmao |
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Description: 人工神经网络(Artificial Neural Network)是从生理角度对智能的模拟，具有极
高的学习能力和自适应能力，能够以任意精度逼近任意函数，完成对系统的仿真；
而遗传算法是对自然界生物进化过程的模拟，具有极强的全局寻优能力，这两种
算法都是当下研究较多的智能方法。将这两种方法与常规的 PID 控制相结合，
构成智能 PID 控制器，使其具有参数自整定、自适应的能力，以适应复杂环境
下的控制要求，这一思路对提高控制效果具有很好的现实意义。
-Artificial Neural Network (ANN) is an imitation of the intelligence by the point of physiological. It has a high capacity of learning and adaptive, can approximate any function to arbitrary accuracy, and complete the simulation of the system. The Genetic
algorithm is a simulation of natural biological evolution, which has a strong ability of
global optimization. These two algorithms are more intelligent method of current
research. The idea of combining these two methods with the conventional PID
controller to be a intelligent controller with the abilities of parameter auto-tuning and
adaptive for the requirements of the complex environment, has a high practical
significance of improving the control effect.
Platform: |
Size: 661504 |
Author:baijiaxuan |
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Description: 遗传算法是1962年由美国Michigan大学的Holland教授提出的模拟自然界遗传机制和生物进化论而形成的一种并行随机搜索最优化方法[1-3]，
在自动控制领域中得到了越来越广泛的应用。该文引入了“稳定区域算法”求取闭环系统稳定的PID控制器参数区间，并以此算法的计算结果限定进
化算法的参数寻优区间，通过仿真试验取得了令人满意的控制效果。-Genetic Algorithms is proposed by the University of Michigan’s Professor Holland in the United
States in 1962 which is Analog nature of genetic mechanisms and biological theory of evolution and the
formation of a parallel random search optimization method [1-3], in the field of automatic control has been
more and more wide range of applications. In this paper, the introduction of the "stable region algorithm" to
strike a closed-loop system stability of interval parameter PID controller, and the results of this algorithm
for calculating the parameters of limited evolutionary algorithm optimization interval, through the simulation
achieved satisfactory control effect. Platform: |
Size: 888832 |
Author:baijiaxuan |
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Description: 控制优化的数字PID算法和数字滤波算法 控制优化的数字PID算法和数字滤波算法-Digital PID control algorithm and optimization of digital filtering algorithms to optimize the digital PID control algorithms and digital filtering algorithms Platform: |
Size: 3836928 |
Author:王小明 |
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Search - pid optimization