Color picture tube (CPT) is a major component of television sets and m
onitors. The manufacturing line of CPT includes an adjustment process
for the integrated tube components (ITC). The adjustment process requi
res considerable expertise, and when operated manually, it is consider
ed to be a bottleneck in view of the productivity of color picture tub
e manufacturing. This paper dears with the design of a multi-task- and
multi-processor- based automatic adjustment system for color purity c
ontrol in the ITC adjustment process. In this work, the color purity c
ontrol system is regarded as a large-scale system with modeling uncert
ainties. Specifically, the control object is hierarchically decomposed
into several subsystems using heuristic knowledge from the experts, a
nd real time multi-level control algorithms are given based on analyti
c modeling and also on-line robust visual sensing algorithms are propo
sed to effectively classify several types of color picture tube condit
ions. Experimental results show that the proposed multi-level algorith
ms together with the proposed sensing algorithms are satisfactory and
reliable for practical industrial use.