A max-plus algebra predictive approach to a battery assembly system control

The paper deals with modeling and control of the real battery assembly system, which is under implementation in the RAFI GmbH Company (one of the leading Electronic Manufacturing Service Provider in Germany). To model the controlled battery assembly system a unified max-plus algebra and model predictive control framework is employed. The considered system belongs to some class of discrete event system, which contains a finite number of industrial tasks and a finite number of resources, which are utilised according to a mutual-exclusion protocol. The assembly task is organised in a completely automatic way, which involves a number of robots. Thus, the proposed computational framework is used to minimize robot energy consumption while satisfying the constraints imposed on the system.