Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process

Zanil, M.F. and Hussain, M.A. (2015) Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process. In: 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, 31 May – 4 June 2015, Copenhagen, Denmark.

[img]
Preview
PDF
Multivariable_Adaptive_Lyapunov_Fuzzy.pdf - Published Version

Download (768kB)

Abstract

A multivariable fuzzy logic controller with Lyapunov adaptive control scheme has been developed for a pH neutralisation process. In this study, the nominal neutralisation process condition exhibit nonlinear dynamics and multi-delayed-effects input variables. The proposed controller uses a Takagi-Sugeno fuzzy inference system and it has been optimised by genetic algorithm which minimizing the closed loop error in feedback control system. The optimised structure is used to predict three-difference control action simultaneously. The Lyapunov function is integrated in the fuzzy inference calculation at output membership function. The proposed controller has been tested and compared in several cases such as for set-point tracking, model plant mismatch and unknown disturbance. The adaptive fuzzy controller demonstrate better performance over the conventional PID controller in all the tested cases.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Non-linear control; Fuzzy Controller; Adaptive control.
Subjects: T Technology > TP Chemical technology
Divisions: Faculty of Engineering
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 23 Sep 2015 01:08
Last Modified: 23 Sep 2015 01:08
URI: http://eprints.um.edu.my/id/eprint/14130

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year