电动加载系统分数阶迭代学习复合控制

吕帅帅; 林辉

doi:10.13700/j.bh.1001-5965.2015.0543

电动加载系统分数阶迭代学习复合控制

doi: 10.13700/j.bh.1001-5965.2015.0543

吕帅帅,
林辉^,

西北工业大学自动化学院, 西安 710129

基金项目: 国家自然科学基金（51407143）；高等学校博士学科点专项科研基金（20136102120049）

详细信息

作者简介:
吕帅帅,男,博士研究生。主要研究方向:电机伺服控制、分数阶控制、迭代学习控制等。Tel.:13571992460,E-mail:lvshuai986@163.com;林辉,男,博士,教授,博士生导师。主要研究方向:电机伺服控制理论与应用技术、多电飞机技术、迭代学习控制等。Tel.:029-88431311,E-mail:linhui@nwpu.edu.cn

通讯作者:
林辉,Tel.:029-88431311,E-mail:linhui@nwpu.edu.cn

中图分类号: TP273;V217⁺.32
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- 文章访问数: 864
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- 被引次数: 0
出版历程
- 收稿日期: 2015-08-24
- 网络出版日期: 2016-09-20

Composite control for electric dynamic loading system based on fractional order iterative learning

LYU Shuaishuai,
LIN Hui^,

School of Automation, Northwestern Polytechnical University, Xi'an 710129, China

Funds: National Natural Science Foundation of China (51407143); Specialized Research Fund for the Doctoral Program of Higher Education of China (20136102120049)

摘要

摘要: 针对电动加载系统存在多余力矩扰动的问题，提出一种以位置闭环和力矩闭环为反馈控制、迭代学习控制为补偿控制的复合控制策略。为提高加载系统动态性能及降低建立模型的复杂性，驱动永磁同步电机采用直接转矩控制方式，建立加载系统频域模型。在位置闭环和力矩闭环采用分数阶PI^λD^μ控制器代替常规PID控制器，迭代学习补偿控制采用分数阶迭代学习控制器，利用分数阶微积分的信息记忆特性提高控制系统的动态性能和鲁棒性，通过理论分析给出分数阶PD型迭代学习控制器的收敛条件。对正弦和梯形波载荷进行力矩加载实验及多余力矩抑制实验，验证了该控制方法的有效性。
- 电动加载系统 /
- 分数阶PI^λD^μ /
- 分数阶迭代学习控制 /
- 多余力矩 /
- 高精度力矩伺服
Abstract: To solve the problem of surplus torque, a composite torque controller is proposed for electric dynamic loading system where the position and torque closed-loops are applied for feedback control and the iterative learning control is applied for feedforward compensation. To improve the dynamic response and reduce the complexity of the system model, direct torque control is used for the permanent magnet synchronous motors. The mathematical model of the electric dynamic loading system is established in frequency domain. The traditional PID and iterative learning control are replaced by fractional order PI^λD^μ for position and torque closed-loops. Fractional order iterative learning control is used for feedforward compensation. The dynamic response and robustness of the controller are enhanced owing to the information memory characteristics of fractional order calculus. The convergence conditions of the fractional order PD-type iterative learning control are presented through theoretical analysis. Experiments on the loading torque with sinusoidal and trapezoidal wave torque and testing of the surplus torque suppression were performed. The experimental results prove that the controllers are effective in achieving a better torque tracking and restraining the surplus torque for the electric dynamic loading system.
- electric dynamic loading system /
- fractional order PI^λD^μ /
- fractional order iterative learning control /
- surplus torque /
- high precision torque servo

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