Training fuzzy logic controller software components by combining adaptation algorithms
Advances in Engineering Software
Modeling and control of a pilot pH plant using genetic algorithm
Engineering Applications of Artificial Intelligence
An approach to adaptive control of fuzzy dynamic systems
IEEE Transactions on Fuzzy Systems
Identification of time-varying pH processes using sinusoidal signals
Automatica (Journal of IFAC)
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The control of pH is important in the chemical industry, poses a difficult problem because of inherent nonliniarities and frequently changing process dynamics. The work described in this paper aims at exploring a technique for producing adaptive fuzzy logic controller (FLC), in which a genetic (GA) is employed to alter membership functions. GA is an adaptive search technique based on natural selection and genetics rules. An adaptive GA-FLC scheme is presented for control of the pH process, the objective is to drive the pH of the solution to the desired set point in the shortest time by adjusting the valves on the two control input streams.