MODELING AND AUTOMATIC-CONTROL OF COLOR PICTURE TUBE ADJUSTMENT PROCESS

Abstract

A hierarchical framework is presented for automation of Color Picture Tubes: CPTs) adjustment process. The design of the control system is based on a hybrid combination of heuristic knowledge from experts and approximated analytic models of the mechanisms for purity and convergence control of CPT. The adjustment system is usually complex in practice and operates under uncertainty and nonlinearity. To resolve difficulties due to system complexity, the control object is hierarchically decomposed in the planning stage into subsystems using the expert knowledge about task grouping and scheduling. Model-based search using a Jacobian matrix is adopted to overcome the uncertainty factors and nonlinearity in each subsystem. The developed algorithms are tested in a real automated environment with visual sensor feedback, adopted in industrial environments.