Multiobjective Parametric Synthesis of Robust Control by Rolling Mills Main Electric Drives

2020 IEEE Problems of Automated Electrodrive. Theory and Practice (PAEP) Pub Date : 2020-09-21 DOI:10.1109/PAEP49887.2020.9240860

B. Kuznetsov, I. Bovdui, T. Nikitina, V. Kolomiets, B. Kobylianskyi

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Abstract

The multiobjective robust control synthesis method of parameters for nonlinear multi-mass rolling mills main electric drives with uncertain plant parameters to improve the control accuracy of such systems is developed. Multi-criteria game solution based method. Basic requirements which the main electric drives must satisfy in various modes of its operation based payoff vectors. Modeling of the synthesized system with different input signals and for various values of the plant parameters for various modes of the system operation based payoff vectors calculation. Particles multiswarm optimization algorithms based multi criterion game solution. Theoretical and experimental research of the effectiveness of two -mass and three-mass rolling mills main electric drives with synthesis of robust controllers are presented. Comparison of the dynamic characteristics of the synthesized rolling mills main electric drives with the existing system is completed. In comparison with the existing system the use of synthesized robust controllers allowed to improve the accuracy parameters and reduce the sensitivity of the system to changes of plant parameters.

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轧机主传动鲁棒控制的多目标参数综合

针对具有不确定对象参数的非线性多质量轧机主传动系统，提出了多目标参数鲁棒控制综合方法，以提高系统的控制精度。基于多准则博弈解的方法。基于收益向量的主电力传动在各种运行模式下必须满足的基本要求。对具有不同输入信号和不同电厂参数值的综合系统进行建模，对系统运行的各种模式进行基于收益向量的计算。基于多准则博弈解的粒子多群优化算法。对综合鲁棒控制器对二质量和三质量轧机主电传动的有效性进行了理论和实验研究。完成了综合轧机主传动系统与现有系统的动态特性比较。与现有系统相比，采用综合鲁棒控制器可以提高系统参数的精度，降低系统对对象参数变化的敏感性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE Problems of Automated Electrodrive. Theory and Practice (PAEP)

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