Design and implementation of adaptive fuzzy knowledge based control of pH for strong acid-strong base neutralization process

Abstract EN

PH control is a benchmark for control of nonlinear processes because of its importance in a number of industrial process applications.

fuzzy knowledge based control (FKBC) of such nonlinear processes incorporates the method for constructing nonlinear controllers using heuristic experience.

this paper describes design and implementation of adaptive FKBC for a pH neutralization process consisting of strong acid (Hydrochloric acid, HCI) and strong base (sodium hydroxide, NaOH) streams in the multifunctional process control teaching system (PCT40) with process vessel accessory (PCT41) and pH Probe accessory (PCT42) of Armfield® Ltd., United Kingdom.

the adaptive FKBC modifies fuzzy universe of discourse by using adaptive gain matrix based on error and change in error.

the adaptive FKBC has been tested for servo as well as regulatory operation, and it proves itself to be simple, fast, and providing satisfactory performance evaluated in terms of integral of squared errors (ISE).

results of adaptive FKBC for servo and regulatory operations have been compared with optimized fuzzy logic control schemes using genetic algorithm (GA), Differential Evolution (DE), and particle swarm optimization (PSO) techniques.

the pH neutralization system is interfaced with Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW") for experimental validation of results.