Abstract
New Solution of Abstract Architecture for Control and Coordination Decentralized Systems
Highlights
In the last few decades, new production requirements have arisen and new requirements have not been met by traditional production systems
We have proposed a representation of the dynamic degree of autonomy and its possible application to subordinate units, which are, in our case, one-directional Automated Guided Vehicles (AGVs) and are guided by magnetic tape
The higher the pheromone priority, the higher the degree of autonomy of AGMA. This degree of autonomy is reflected in the search for the path through CAs and SAs to the destination, similar to how Intelligent Product Agent (IPA) looks for its services in its subordinate units
Summary
In the last few decades, new production requirements have arisen and new requirements have not been met by traditional production systems. The advantage of traditional hierarchical control architectures (centralized and hierarchical architectures) is their simple organizational structure (with a small number of managed units), the ability to optimize system performance and the ability to predict future states (in the absence of abnormal system states) These types of control architectures cannot guarantee the demanding performance requirements of a system that requires real, dynamic change in production and logistics with all system constraints (internal changes to the system, changes in the environment) as well as changing customer demand for customizable, price with maintaining a competitive market. During the development of holonic production systems, a vision of a holon factory was created, but this concept has not yet been implemented [6] This effort has resulted (1) in the promising IEC 61499 functional blocks that provide modularity and object-oriented features and easy reconfiguration [10] and (2) into the concept of a virtual enterprise that temporarily represents the partnerships created between independent enterprises in order to gain competitiveness, by sharing capabilities and resources [11]. There are three types of D-MAS [15]: c) feasibility, d) exploration and e) intention
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