Fractional Order PD

SHI Le-zhen; WANG Hua

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Fractional Order PD

更新时间：2026-09-04

- Fractional Order PD
- Vol. 35, Issue 4, Pages: 103-107(2018)
- 作者机构：
  
  南京工业大学机构,江苏,南京,211816
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
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史乐珍, 王华. 基于非线性最小二乘迭代的分数阶PD控制器整定[J]. 微电子学与计算机, 2018, 35(4): 103-107, 113.

SHI Le-zhen, WANG Hua. Fractional Order PD[J]. 2018, 35(4): 103-107.
史乐珍, 王华. 基于非线性最小二乘迭代的分数阶PD控制器整定[J]. 微电子学与计算机, 2018, 35(4): 103-107, 113. DOI：

SHI Le-zhen, WANG Hua. Fractional Order PD[J]. 2018, 35(4): 103-107. DOI：

摘要

针对进化算法在搜索PID控制器参数时的随机性

提出一种基于非线性最小二乘迭代的参数整定方法.在辨识直流电机伺服系统传递函数的基础上

进行分数阶PD控制器参数整定.类似于迭代反馈整定方法

该方法首先设定伺服系统期望的输出响应

以最小化误差平方和为目标来整定控制器的3个参数.非线性最小二乘法与进化算法整定的控制器对比结果表明

所提的控制器迭代整定方法能够使得系统响应逼近所设定的期望响应

而且快速地确定出唯一的控制器参数.

Abstract

Aiming at the randomness of the evolutionary algorithm in searching PID controller parameters

a parameter tuning method based on nonlinear least squares iteration is proposed. The parameter tuning of fractional order PD controller is realized by identifying the transfer function of DC motor servo system. Similar to the iterative feedback tuning method

the desired response of the servo system is set firstly

and the three controller parameters are determined by minimizing the sum of squared errors. The compared results of the controllers tuned by nonlinear least squares method and evolutionary algorithm show that the proposed iterative controller tuning method can make the system response approximate the desired response

and also determine the unique controller parameters rapidly.

关键词

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references

黄丽莲, 周晓亮, 项建弘. 分数阶PID控制器参数的自适应设计[J]. 系统工程与电子技术, 2013, 35(5): 1064-1069. DOI: 1064

Lequin O, Gevers M, Mossberg M, et al. Iterative feedback tuning of PID parameters: comparison with classical tuning rules[J]. Control Engineering Practice, 2003, 11(9): 1023-1033. DOI: 1023

Li C, Chen M Z Q. Simultaneous identification and stabilization of nonlinearly parameterized discrete-time systems by nonlinear least squares algorithm[J]. IEEE Transactions on Automatic Control, 2015, 61(7): 1810-1823. DOI: 1810

Luo Y, Chen Y Q. Fractional order controller for a class of fractional order systems[J]. Automatica, 2009, 45(10): 2446-2450. DOI: 2446

Muresan C I, Dulf E H, Both R. Vector-based tuning and experimental validation of fractional-order PI/PD controllers[J]. Nonlinear Dynamics, 2016, 84(1): 179-188. DOI: 179

Goos J, Lataire J, Louarroudi E, et al. Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations[J]. Automatica, 2017, 75: 191-199. DOI: 191

Dey C, Mudi R K, Simhachalam D. A simple nonlinear PD controller for integrating processes[J]. Isa Transactions, 2014, 53(1): 162-172. DOI: 162

刘敬伟, 胡渝彪, 王晓玲, 等. Jelinski-Moranda模型的一种新的NLS估计法[J]. 系统仿真学报, 2008, 20(18): 4791-4794. DOI: 4791

杨勇, 李荣, 张君. 基于自适应量子遗传算法的分数阶控制器参数整定[J]. 华北电力大学学报(自然科学版), 2014, 41(2): 72-77. DOI: 72

金鹏, 李晶. 基于改进粒子群算法的BLDCM分数阶速度控制器的研究[J]. 微特电机, 2016, 44(7): 59-62. DOI: 59

王建宏, 王道波, 王志胜. 多个未知时延的MISO系统的递推辨识[J]. 控制与决策, 2010, 25(1): 93-98. DOI: 93

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