Design of Multiregional Supervisory Fuzzy PID Control of pH Reactors

Abstract EN

This work concerns designing multiregional supervisory fuzzy PID (Proportional-Integral-Derivative) control for pH reactors.

The proposed work focuses, mainly, on two themes.

The first one is to propose a multiregional supervisory fuzzy-based cascade control structure.

It would enable modifying dynamics and enhance system’s stability.

The fuzzy system (master loop) has been chosen as a tuner for PID controller (slave loop).

It takes into consideration parameters uncertainties and reference tracking.

The second theme concerns designing a hybrid neural network-based pH estimator.

The proposed estimator would overcome the industrial drawbacks, that is, cost and size, found with conventional methods for pH measurement.

The final end-user-interface (EUI) front panel and the results that evaluate the performance of the supervisory fuzzy PID-based control system and hybrid NN-based estimator have been presented using the compatibility found between LabView and MatLab.

They lead to conclude that the proposed algorithms are appropriate to systems nonlinearities encountered with pH reactors.