Dual mode control strategy for complex and flexible manufacturing systems

Jenny L Diaz (1) , Carlos Ocampo-Martinez (1) , Sorin Olaru (2)

1 UPC - Universitat Politècnica de Catalunya [Barcelona]
2 L2S - Laboratoire des signaux et systèmes

The manufacturing industry is shifting towards smart manufacturing, in which both energy efficiency and flexibility are some of the main objectives of this 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 minimize the energy consumption of manufacturing systems without affecting their productivity, even when scenarios of flexible manufacturing are considered. The first control model is based on Model Predictive Control to determine the optimal and constrained behaviour of the system. Then, the second mode starts from the assumption that the system exhibits a periodic behaviour to switch to an autonomous control mode that not solve 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.

Keywords: Mixed-integer linear programming; Model predictive control; Smart manufacturing systems; Dual control strategy; Flexible manufacturing

Domains: Automatic

Jenny L Diaz, Carlos Ocampo-Martinez, Sorin Olaru. Dual mode control strategy for complex and flexible manufacturing systems. Journal of Manufacturing Systems, 2020, 56, pp.104-116. ⟨10.1016/j.jmsy.2020.05.009⟩. ⟨hal-02862349⟩