Abstract The manufacturing industry is shifting towards smart manufacturing, in which both energy efficiency and flexibility are some of the main objectives of this digital transformation. In this regard, the control strategies for manufacturing systems should be able to support the requirements of this transformation with a low computational burden towards their implementation in real time. To this end, in this paper, a dual mode control strategy based on two control approaches is proposed to minimise the energy consumption of manufacturing systems without affecting their productivity, even when scenarios of flexible manufacturing are considered. The first control mode is based on model predictive control to determine an optimisation-based strategy for the constrained behaviour of the system. Then, the second mode builds on the assumption that the system exhibits a periodic behaviour and, thus, it will be able to switch to an autonomous control mode that avoids the resolution of an optimisation problem online. The proposed control strategy is tested in a manufacturing process line in which changes in the production programs are considered with the aim to test the performance in flexible manufacturing scenarios. The obtained results show that the computational burden could be significantly reduced while reducing global energy consumption without affecting the system productivity.

中文翻译：

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复杂柔性制造系统能效的双模控制策略

摘要 制造业正在向智能制造转变，其中能源效率和灵活性是数字化转型的一些主要目标。在这方面，制造系统的控制策略应该能够以较低的计算负担来支持这种转换的要求，以便实时实施。为此，本文提出了一种基于两种控制方法的双模式控制策略，即使在考虑柔性制造的情况下，也可以在不影响其生产率的情况下最小化制造系统的能耗。第一种控制模式基于模型预测控制，以确定系统受约束行为的基于优化的策略。然后，第二种模式基于系统表现出周期性行为的假设，因此，它将能够切换到自主控制模式，从而避免在线解决优化问题。所提出的控制策略在制造过程线中进行了测试，其中考虑了生产程序的变化，目的是测试柔性制造场景中的性能。获得的结果表明，在不影响系统生产力的情况下，可以显着减少计算负担，同时降低全局能耗。所提出的控制策略在制造过程线中进行了测试，其中考虑了生产程序的变化，目的是测试柔性制造场景中的性能。获得的结果表明，在不影响系统生产力的情况下，可以显着减少计算负担，同时降低全局能耗。所提出的控制策略在制造过程线中进行了测试，其中考虑了生产程序的变化，目的是测试柔性制造场景中的性能。获得的结果表明，在不影响系统生产力的情况下，可以显着减少计算负担，同时降低全局能耗。