Feasible schedule-based predictive fault-tolerant control for an automated packing system

Majdzik, Paweł; Witczak, Marcin; Lipiec, Bogdan

doi:10.1109/systol.2019.8864757

Cited by 1 publication

(1 citation statement)

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“…MPC has been widely exploited in various fields of industrial automation e.g. control of dynamic multipallet routing in manufacturing to achieve an efficient production performance [11], human-robot collaboration for assembly task in manufacturing to maintain the trust level at an acceptable range and minimize the variations of the speeds between human and robot [12], an automated packing system to control the independent and parallel conveyor belts according to a reference sequence [13], and automatic ship docking process [14]. To the knowledge of the authors, MPC has not been ever applied to the packing and stacking problems.…”

Section: Introductionmentioning

confidence: 99%

Efficient Algorithm Based on Adaptive Window–Model Predictive Control for Automatic Stacking in Warehouse Center

Chang

Sebghati

2021

IEEE Access

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In this article, three-dimensional (3D) stacking problem, as a mandatory task in the warehouse distribution centers, is smartly represented by a new mathematical formulation. A model predictive control (MPC) scheme is proposed to optimally solve the problem. The MPC cost function consists of several sequential criteria to suitably put the incoming packages on the dedicated cart and fully use up the cart capacity as much as possible. The practical and hard constraints are taken into consideration without confronting with a complicated optimization problem. A theorem is presented to guarantee the constraints satisfaction. Regarding the burden of computations, the proposed strategy is efficiently applicable to large carts by introducing the adaptive window (AW) idea. The efficacy of the proposed AW-MPC framework is shown by a numerical case study. INDEX TERMSAdaptive window, matrix representation, model predictive control, stacking problem.

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