Location:
Search - fuzzy rbf pid
Search list
Description: 基于模糊RBF网络整定的PID控制，matlab源程序-based on fuzzy RBF network tuning PID control, Matlab source
Platform: |
Size: 1521 |
Author: 满延杰 |
Hits:
Description: 采用模糊RBF神经网络对柴油机油门执行器位置进行控制，介绍了电液调速执行器的动态特性，设计了电液调速控制回路，本文将一种基于模糊RBF神经网络的PID控制器应用于柴油机调速控制当中，详细说明了模糊RBF神经网络控制器的设计过程，它结合了传统PID以及神经网络和模糊控制的优点，可以在线调整得到一组最优的PID控制参数。仿真结果表明该系统比传统模糊控制的响应速度快、超调小，且适应性强，具有推广价值。-fuzzy RBFNN right Diesel throttle actuator position control, on the speed electro-hydraulic actuator and the dynamic characteristics of the design of electro-hydraulic speed control circuit, This paper will be based on fuzzy RBFNN PID controller for speed control Diesel, a detailed description of fuzzy RBF neural network controller design process, It combines the traditional PID and neural network and fuzzy control advantages online can be an adjustment Optimal Group of PID control parameters. Simulation results show that the system than the traditional fuzzy control of the fast response, small overshoot, and adaptability, is worth promoting.
Platform: |
Size: 60385 |
Author: 阳关 |
Hits:
Description: :针对当前电力机车调速系统存在的一些问题，简要分析了直流电力机车调速原理，提出了
控制系统的硬件结构，并且设计出Fuzzy + PID复合结构的控制器，提高了控制系统的动态响应速
度和稳态误差 同时利用RBF神经网络自整定PID参数解决了PID控制中的参数整定问题
Platform: |
Size: 338492 |
Author: 汪剑光 |
Hits:
Description: 基于模糊RBF网络整定的PID控制，matlab源程序-based on fuzzy RBF network tuning PID control, Matlab source
Platform: |
Size: 1024 |
Author: 满延杰 |
Hits:
Description: :针对当前电力机车调速系统存在的一些问题，简要分析了直流电力机车调速原理，提出了
控制系统的硬件结构，并且设计出Fuzzy + PID复合结构的控制器，提高了控制系统的动态响应速
度和稳态误差 同时利用RBF神经网络自整定PID参数解决了PID控制中的参数整定问题-err
Platform: |
Size: 337920 |
Author: |
Hits:
Description: 基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码，其中包含BP pid，CMAC PID,RBF PID，BP数值逼近算法，BP预测控制以及模糊PID。-Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID, RBF PID, BP Numerical approximation algorithm, BP predictive control and fuzzy PID.
Platform: |
Size: 9216 |
Author: 但杨文 |
Hits:
Description: 基于模糊RBF网络整定的PID控制,采用增量PID形式-RBF network based on fuzzy tuning of PID control, PID form of incremental
Platform: |
Size: 1024 |
Author: wutiebing |
Hits:
Description: 本代码为基于模糊RBF辨识的自适应PID控制，比较常规PID具有很明显优势控制效果。-The code for identification based on fuzzy adaptive PID control of RBF, compared with the obvious advantage of conventional PID control performance.
Platform: |
Size: 1024 |
Author: wade |
Hits:
Description: mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
Platform: |
Size: 8192 |
Author: zhaoyunyuan |
Hits:
Description: 针对传统的PID 控制器参数固定而导致在控制中效果差的问题，提出一种基于模糊RBF 神经网络智能PID 控制器的设计方法。
该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点，将模糊控制与RBF 神经网络相结合以在线调整PID 控制器参数，整
定出一组适合于控制对象的kp. ki. kd 参数。将算法运用到电机控制系统的PID 参数寻优中，仿真结果表明基于此算法设计的PID 控制器改善了电机控制系统的动态性能和稳定性。-Fixed for the traditional PID controller parameters lead to poor results in the control issue, based on fuzzy RBF neural network intelligent PID controller design method.
The method combines fuzzy control powers of reasoning and neural network learning ability and fuzzy control with RBF neural network combined line tuning of PID controller parameters, the entire
Identified a group suitable for the control object kp ki kd parameters. PID parameter optimization algorithm is applied to the motor control system, the simulation results show that the PID controller design based on this algorithm improves the dynamic performance and stability of the motor control system.
Platform: |
Size: 418816 |
Author: 张文 |
Hits:
Description: 基于模糊RBF网络整定的PID控制，借鉴与刘金琨老师的《先进PID控制》-PID control based on fuzzy RBF network setting
Platform: |
Size: 1024 |
Author: 刘同学 |
Hits:
Description: 针对传统的PID控制器参数固 定而导致在控制中效果差的问题,提出一种基于模糊RBF神经网络智能PID控制器的设计方法。该方法结合了模糊控制的推理能力强与神经网络学习能力强的特 点,将模糊控制与RBF神经网络相结合以在线调整PID控制器参数,整定出一组适合于控制对象的kp,ki,kd参数。将算法运用到电机控制系统的PID 参数寻优中,仿真结果表明基于此算法设计的PID控制器改善了电机控制系统的动态性能和稳定性。-Traditional PID controller parameters fixed in the control effect caused by the problem of poor design method based on fuzzy RBF Neural Network Intelligence PID controller. The method combines strong reasoning ability of fuzzy control and neural network learning ability of the characteristics of the RBF neural network and fuzzy control are combined to adjust the PID controller parameters online, fix the whole set is adapted to control the object kp, ki, kd parameter. The algorithm is applied to the motor control system PID parameter optimization, the simulation results show that the algorithm based on the design of PID controller to improve the dynamic performance and stability of the motor control system.
Platform: |
Size: 2048 |
Author: 马腾 |
Hits: