Model Predictive Control – Sliding Mode Control of a pH system

W. X. Ooi, Ayman William Hermansson, C. H. Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper studies the feasibility of using discrete sliding mode controller (SMC) to achieve offset-free control of nonlinear processes in the presence of disturbances. The performance of the SMC is compared to a multiple model predictive controller (MMPC) studying the ability of set-point tracking using the pH system as a case study. The results presented from the comparison show that SMC can perform offset-free control of a pH system, with the major drawback being slow response as well as oscillation at some pH values. Finally, a design of a combination between MMPC and SMC (MMPC-SMC) is proposed, with MMPC carrying out basic control response while the SMC fulfils the role of eliminating the offset. However, the inaccurate reading in the MATLAB simulation model does not generate the expected results on the pH control. Therefore, the modification on the MATLAB models is required to achieve the improved control system on the offset-free behaviour for the set-point tracking.
Original languageEnglish
Title of host publication33rd Symposium of Malaysian Chemical Engineers (SOMChE 2022)
PublisherIOP Publishing
Publication statusPublished - 21 Oct 2022
Event33rd Symposium of Malaysian Chemical Engineers 2022 -
Duration: 8 Aug 20229 Aug 2022

Publication series

NameIOP Conference Series: Materials Science and Engineering
PublisherIOP Publishing
ISSN (Print)1757-8981


Conference33rd Symposium of Malaysian Chemical Engineers 2022
Abbreviated titleSOMChE 2022


  • Process control
  • Model Predictive Control


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