Birs Isabela, Nascu Ioan, Ionescu Clara, Muresan Cristina
Technical University of Cluj-Napoca, Automation Department, Memorandumului 28, Cluj-Napoca, Romania.
Ghent University, Department of Electromechanical, Systems and Metal Engineering, Research Lab on Dynamical Systems and Control, Tech Lane Science Park 125, 9052 Ghent, Belgium.
J Adv Res. 2020 Jul 3;25:191-203. doi: 10.1016/j.jare.2020.06.024. eCollection 2020 Sep.
The present study provides a generalization of event-based control to the field of fractional calculus, combining the benefits brought by the two approaches into an industrial-suitable control strategy. During recent years, control applications based on fractional order differintegral operators have gained more popularity due to their proven superior performance when compared to classical, integer order, control strategies. However, the current industrial setting is not yet prepared to fully adapt to complex fractional order control implementations that require hefty computational resources; needing highly-efficient methods with minimum control effort. The solution to this particular problem lies in combining benefits of event-based control such as resource optimization and bandwidth allocation with the superior performance of fractional order control. Theoretical and implementation aspects are developed in order to provide a generalization of event-based control into the fractional calculus field. Different numerical examples validate the proposed methodology, providing a useful tool, especially for industrial applications where the event-based control is most needed. Several event-based fractional order implementation possibilities are explored, the final result being an event-based fractional order control methodology.
本研究将基于事件的控制推广到分数阶微积分领域,将两种方法带来的优势结合成一种适用于工业的控制策略。近年来,基于分数阶微分积分算子的控制应用越来越受欢迎,因为与传统的整数阶控制策略相比,它们已被证明具有卓越的性能。然而,当前的工业环境尚未准备好完全适应需要大量计算资源的复杂分数阶控制实现;需要采用控制工作量最小的高效方法。解决这一特殊问题的方法在于将基于事件的控制的优势(如资源优化和带宽分配)与分数阶控制的卓越性能相结合。为了将基于事件的控制推广到分数阶微积分领域,对理论和实现方面进行了深入研究。不同的数值示例验证了所提出的方法,提供了一个有用的工具,特别是对于最需要基于事件控制的工业应用。探索了几种基于事件的分数阶实现可能性,最终结果是一种基于事件的分数阶控制方法。