Decentralized controller reconfiguration strategies for hybrid system dynamics based on product-intelligence

In the area of product-based control of manufacturing processes, the potential to integrate intelligent products in process control has been recognized several times. However, the effect of greatly varying intelligent products on the control and hybrid system dynamics of the individual (sub-) processes have not been investigated. This article begins with a definition of product-intelligence and a distributed data and interface model. Based on this, a decentralized hybrid reconfiguration structure with different intelligence-based reconfiguration strategies as a function of varying product properties is presented, using the example of a conveyor belt system. Through the implementation on a industrial controller, it has been shown that the concept represents a further module in the realization of cyber-physical systems through comprehensive analysis and synthesis of a highly flexible hybrid control loop.