On-line tuning of a single EWMA controller based on the neural technique

C.-T. SU; C.-C. HSU

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On-line tuning of a single EWMA controller based on the neural technique

机译：基于神经技术的单个EWMA控制器的在线调整

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The exponentially weighted moving average (EWMA) controller has been proven to be an effective algorithm in the control the modern manufacturing system. The performance of the EWMA controlled process is based on choosing the correct EWMA gain. Most related research has focused on analysing the optimal EWMA gain in the static condition. The objective was to propose an approach based on the neural technique for on-line tuning of the single EWMA gain. The underlying approach indicated that the network learns very quickly when taking autocorrelation function and sample partial autocorrelation function patterns as the input features. It is shown that the sequence of the EWMA gains, generated by the proposed adaptive approach, converges close to the optimal controller value under several disturbance models, including IMA(1,1), and step and small ramp disturbances. In addition, the approach possesses a superior controlled output performance compared with the previous adaptive system.

机译：指数加权移动平均值（EWMA）控制器已被证明是控制现代制造系统的有效算法。 EWMA控制过程的性能基于选择正确的EWMA增益。大多数相关研究都集中于分析静态条件下的最佳EWMA增益。目的是提出一种基于神经技术的在线调整单个EWMA增益的方法。基本方法表明，当使用自相关函数并将部分自相关函数模式作为输入特征时，网络学习非常快。结果表明，在多种扰动模型下，包括IMA（1,1），阶跃和小斜坡扰动，所提出的自适应方法生成的EWMA增益的序列收敛于最佳控制器值。此外，与以前的自适应系统相比，该方法具有出色的受控输出性能。

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来源
《International Journal of Production Research》 |2004年第11期|p.2163-2178|共16页
作者
C.-T. SU; C.-C. HSU;
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作者单位

Department of Industrial Engineering and Management, National Chiao Tung niversity, 1001 Ta Hsueh Road, Hsinchu, Taiwan, ROC;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类管理学;
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专利

1. A self-tuning EWMA controller utilizing artificial neural network function approximation techniques [J] . Smith T.H., Boning D.S. IEEE transactions on components, packaging, and manufacturing technology. Part C, Manufacturing . 1997,第2期

机译：利用人工神经网络功能逼近技术的自整定EWMA控制器
2. Double EWMA controller using neural network-based tuning algorithm for MIMO non-squared systems [J] . Wu W., Maa C.-Y. Journal of Process Control . 2011,第4期

机译：使用基于神经网络的调整算法的MIMO非平方系统双EWMA控制器
3. On-line auto tuning of PID controllers based on the cross-correlation technique [J] . Hang C.C., Sin K.K. IEEE Transactions on Industrial Electronics . 1991,第6期

机译：基于互相关技术的PID控制器在线自动调节
4. A self-tuning EWMA controller utilizing artificial neural network function approximation techniques [C] . Smith, T., Boning, Electronics Manufacturing Technology Symposium, 1996., Nineteenth IEEE/CPMT . 1996

机译：利用人工神经网络功能逼近技术的自调整EWMA控制器
5. A neural network-based controller for a single-link flexible manipulator using the inverse dynamics approach. [D] . Su, Zhihong. 2000

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6. Rapidly Tuning the PID Controller Based on the Regional Surrogate Model Technique in the UAV Formation [O] . Binglin Wang, Xiaojun Duan, Liang Yan, 2020

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7. Utilizing Adaptive Tabu Search Technique Based Tuning PID Controller for Optimal Speed Control Single Phase Induction Motor [O] . Amer Jarjees 2015

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On-line tuning of a single EWMA controller based on the neural technique

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