Modelling of pneumatic system using system identification approach

Mohd Asri, Laila Nadhirah (2021) Modelling of pneumatic system using system identification approach. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, pneumatic system becomes complex since it integrates many components in a single pneumatic system. Basically, there are two ways to model the pneumatic system which are theoretical and empirical approach. This study proposed modelling of pneumatic system using empirical approach (or called as system identification technique in control system engineering). In this study, experimental setup for pneumatic system modelling was first designed. Then, a mathematical model that represent pneumatic system based on Auto- Regressive Exogenous Input (ARX), Auto-Regressive Moving Average with Exogenous input (ARMAX), Box-Jenkins (BJ) and Output-Error (OE) model structures using system identification were determined. Then, the identified ARX, ARMAX, BJ and OE model structures were validated based on system identification criteria and these models were then compared. For comparison, second-order for all model structures (ARX, ARMAX, BJ and OE) are eligible to represent the pneumatic system used in this study. Lastly, the performance of each second-order model structures as a plant model for Proportional integral- Derivative (PID) controller (to control pneumatic positioning system) was evaluated based on simulation test. The simulation result using MATLAB Simulink revealed that second-order ARMAX model gives the best performance (in terms of transient response) in controlling the pneumatic positioning system compared to other models.

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