Cell Control And Modeling
Various numbers of modeling systems and cell control have been developed to date. Researchers have worked many on three broad regions: scheduling; modeling/simulation; fault diagnosis and control. Artificial Intelligence techniques are of exactly emphasis to solve the problems of these regions.
Generally, an expert system that aims to control a manufacturing shell has a database, a knowledge base, an explanation block and a knowledge acquisition block. The major activities of the system occupy the recording and tracking of dynamically changing situations, the scheduling of task to exact diagnosis and workplaces of critical conditions. Conversely, there are various types of modeling systems and cell controls have been developed. The literature observation available on the associated topic reveals the difficulty of implementing the flexible cells. Even if a lot of research has been carried out in developing modeling systems and cell control to solve the problems concerned to the different domains of flexible cells, until now there exist a require for a generic architecture. A generic architecture can be utilizing as a template for the organization, implementation and eventual design of cell control systems across a range of applications. The up-and-coming ascendancy of the object-oriented programming /object oriented design approach to software development and design is a convincing cause to investigate its prospective employ in concurrent cell control systems.
Generic cell control architecture may contain the following components as:
i. Three-axis CNC work center.
ii. Six-axis robot along with torque/force sensing.
iii. Two-dimensional gray scale vision system.
iv. Programmable logic controller.
v. Cell control computer.
vi. Input and output conveyors.