Unfalsified Control to a pH Neutralization Process with Noisy Measurements

Abstract

In this paper, we demonstrate an application of unfalsified control to the nonlinear control of a pH neutralization in continuous stirred tank reactors under noisy measurements. The adaptation of controllers can be performed by two mechanisms: 1) The switching of an active controller in a current controller set and 2) An adaptive controller set generated by an evolutionary algorithm (EA) and a diversity operator. This leads to an automatic controller tuning for PI controller structure. Finally, we show that the proposed algorithm can handle highly nonlinear dynamics of the neutralization process with noisy measurements well.