A Multiobjective Optimization Approach For Analyzing The Interaction of Design and Control

Abstract This work presents a systematic procedure for analyzing the interaction of design and control. The mathematical programming framework of process synthesis is used to formulate and solve an optimization problem with multiple objectives involving open-loop controllability measures and economics. A multiobjective optimisation algorithm based on cutting planes is applied to determine the optimal trade-off using partial derivative information from the noninferior solution set. A binary distillation column example illustrates the proposed approach.