WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 11, 2016
Optimal Fuzzy Logic Control of a pH Neutralization Process using Swarm and Evolutionary Algorithms
Authors: , ,
Abstract: pH control plays an important role in many modern industrial plants due to strict environment regulations. This paper presents performance comparison of optimal fuzzy logic based pH control scheme for neutralization process using swarm and evolutionary algorithms. Particle swarm optimization (PSO) and differential evolution (DE) used to optimize the input and output membership functions of fuzzy inference system. The fitness function for optimization is integral of squared errors (ISE). Performance of control scheme has been evaluated for servo and regulatory operations.