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Soft Computing Techniques and Their Applications in Intel-ligent Industrial Control Systems: A Survey
International Journal of Computers Communications & Control ( IF 2.0 ) Pub Date : 2021-01-17 , DOI: 10.15837/ijccc.2021.1.4142
Zheng Wu , Huchang Liao , Keyu Lu , Edmundas Kazimieras Zavadskas

Soft computing involves a series of methods that are compatible with imprecise information and complex human cognition. In the face of industrial control problems, soft computing techniques show strong intelligence, robustness and cost-effectiveness. This study dedicates to providing a survey on soft computing techniques and their applications in industrial control systems. The methodologies of soft computing are mainly classified in terms of fuzzy logic, neural computing, and genetic algorithms. The challenges surrounding modern industrial control systems are summarized based on the difficulties in information acquisition, the difficulties in modeling control rules, the difficulties in control system optimization, and the requirements for robustness. Then, this study reviews soft-computing-related achievements that have been developed to tackle these challenges. Afterwards, we present a retrospect of practical industrial control applications in the fields including transportation, intelligent machines, process industry as well as energy engineering. Finally, future research directions are discussed from different perspectives. This study demonstrates that soft computing methods can endow industry control processes with many merits, thus having great application potential. It is hoped that this survey can serve as a reference and provide convenience for scholars and practitioners in the fields of industrial control and computer science.

中文翻译:

软计算技术及其在符合英特尔标准的工业控制系统中的应用:一项调查

软计算涉及与不精确信息和复杂人类认知兼容的一系列方法。面对工业控制问题,软计算技术显示出强大的智能性,鲁棒性和成本效益。这项研究致力于提供有关软计算技术及其在工业控制系统中的应用的调查。软计算的方法主要根据模糊逻辑,神经计算和遗传算法进行分类。根据信息获取的困难,控制规则建模的困难,控制系统优化的困难以及对鲁棒性的要求,总结了围绕现代工业控制系统的挑战。然后,这项研究回顾了为解决这些挑战而开发的与软计算相关的成就。之后,我们回顾了在运输,智能机器,过程工业以及能源工程等领域中的实际工业控制应用。最后,从不同的角度讨论了未来的研究方向。这项研究表明,软计算方法可以赋予工业控制过程许多优点,因此具有很大的应用潜力。希望这项调查可以为工业控制和计算机科学领域的学者和从业人员提供参考和方便。流程工业以及能源工程。最后,从不同的角度讨论了未来的研究方向。这项研究表明,软计算方法可以赋予工业控制过程许多优点,因此具有很大的应用潜力。希望这项调查可以为工业控制和计算机科学领域的学者和从业人员提供参考和方便。流程工业以及能源工程。最后,从不同的角度讨论了未来的研究方向。这项研究表明,软计算方法可以赋予工业控制过程许多优点,因此具有很大的应用潜力。希望这项调查可以为工业控制和计算机科学领域的学者和从业人员提供参考和方便。
更新日期:2021-01-18
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