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Nonlinear Model Predictive Versus Sliding Mode Controller Design for a Class of Nonlinear Non-affine Chemical Batch Reactor Dynamics

EasyChair Preprint no. 3320

24 pagesDate: May 3, 2020

Abstract

In this paper, both nonlinear model predictive control and sliding mode control algorithms are used to control the temperature of the chemical batch reactor utilizing the cooling coil system. The main purpose of the model predictive control is to minimize the difference between the amount of next output prediction and reference values, by considering some constraints on both the states and the inputs. The Sliding mode as a second controller is also considered as an efficient method because of high robustness of the closed-loop system against uncertainties and external disturbance in addition to simplicity in design and practical implementation. With regard to the immeasurability of all state variables, designing high gain observer and sliding mode controller based observer is discussed to track the system states and adjust the temperature of the reactor. The simulation results show the high performance of the proposed algorithms in controlling the reaction implementation in addition to avoid exceeding the temperature limit.

Keyphrases: batch reactor, Nonlinear Model Predictive Control, sliding mode controller, temperature control

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3320,
  author = {Mohammad H. Gharagozloo and Reza Ghasemi and Mehdi Sedighi},
  title = {Nonlinear Model Predictive Versus Sliding Mode Controller Design for a Class of Nonlinear Non-affine Chemical Batch Reactor Dynamics},
  howpublished = {EasyChair Preprint no. 3320},

  year = {EasyChair, 2020}}
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