A distributed reconfiguration controller for linear array harvest problem: hierarchically quasi-normalized neural approach

WSI is considered liable to have several faults at the beginning of the production stage and during its operating lifetime. This paper describes a design of distributed controller for reconfiguration on harvesting linear array system as a degradable system with assumption that not only basic cells but also the connection links are subject to fault condition. An inherently distributed feature of a new class of cellular neural network is used in hierarchical method. The proposed method is a simple heuristic distributed process with cellular (next neighbor) information. It has simple structures that have minimum penalty in WSI area thus minimizing the reliability cost