Evolutionary optimization based tuning for multivarible process

Abstract

In this paper evolutionary algorithms (EAs) such as genetic algorithm (GA) and differential evolution (DE) optimization are implemented for design of optimal multiloop PI controller with the minimum integral absolute error (IAE) criterion. As a case study multiloop PI control structure for binary distillation column plant described by Wood and Berry, having 2 inputs and outputs has been taken. Simulation is carried out for GA and DE with minimization of IAE and the performances are compared for statistical measures like best, mean and standard deviation of results and, average computation time over 20 independent trials.