Synthesis of plantwide control systems using optimization

The design of plantwide control systems has received increasing attention i n the past few years. This paper deals with how one can systematically synt hesize plantwide control architectures from steady-state process models usi ng optimization. The optimization problem solved is a mixed-integer Linear programming (MILP) problem which aims at minimizing valve movement to compe nsate for a disturbance. Results are presented for its application to the T ennessee Eastman test-bed process.