Malaysian Journal of Analytical Sciences Vol 21 No 3 (2017): 670 - 680

DOI: https://doi.org/10.17576/mjas-2017-2103-16

 

 

 

POROSITY CONTROL OF HOLLOW FIBER MEMBRANES USING A MODEL REFERENCE ADAPTIVE CONTROLLER

 

(Kawalan Keliangan Membran Serat Berongga Menggunakan Model Pengawal Rujukan Adaptif)

 

Mohammad Abbasgholipourghadim¹*, Musa Bin Mailah¹, Intan Z. Mat Darus¹, Masood Rezaei-Dasht Arzhandi², Ahmad Fauzi Ismail²

 

¹Department of Applied Mechanics and Design, Faculty of Mechanical Engineering

²Advanced Membrane Technology Research Centre (AMTEC)

Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

 

*Corresponding author: m.gholipour2010@gmail.com

 

 

Received: 26 August 2016; Accepted: 8 January 2017

 

 

Abstract

The conventional simple feedback controllers are not sometimes capable to properly perform online due to different dynamics during porous hollow fiber membranes (HFMs) fabrication process. This study implemented a model reference adaptive control (MRAC) for fabricating HFMs with the desired overall porosity. The artificial neural network (ANN) was used to identify the spinneret dynamic model. The developed ANN model was used as the plant model in the implemented MRAC to control the overall porosity of the HFMs. The proposed algorithms for controlling HFM overall porosity were simulated in MATLAB/Simulink. The Massachusetts Institute of Technology (MIT) rule was used for adaptive mechanism in the MRAC, where an appropriate cost function was determined as a function of error between the dynamic system and the reference output model. The controller parameters were adjusted after minimizing the selected cost function. The obtained results from the implemented MRAC scheme with MIT rule is found to be effective in controlling the porosity of the membranes. However, it was revealed that the system response is quite dependent on the changes of the input signal amplitude (overall porosity). In addition, large adaptation values reduced the stability of the system. Therefore, the MIT rule was normalized called as the normalized MIT towards the system response to be independent from different values of the porosity rule.

 

Keywords:  hollow fiber membrane, overall porosity, model reference adaptive control, artificial neural network

 

Abstrak

Pengawal konvensional tindak balas mudah kadangkala tidak mampu untuk melaksanakan tugas dalam talian kerana faktor dinamik yang berbeza semasa proses fabrikasi terhadap bahan membran serat berongga (HFM). Kajian ini menggunakan kawalan adaptif model rujukan (MRAC) untuk menghasilkan HFM dengan keliangan keseluruhan yang dikehendaki. Rangkaian neural buatan (ANN) telah digunakan untuk mengenal pasti model dinamik spinneret. Model ANN telah dibangunkan sebagai model sistem dinamik dalam MRAC untuk mengawal keliangan keseluruhan HFMs. Algoritma yang dicadangkan untuk mengawal keliangan keseluruhan HFM telah disimulasikan dalam MATLAB/Simulink. Peraturan MIT telah digunakan untuk mekanisme adaptif dalam MRAC dengan fungsi kos yang sesuai ditentukan sebagai fungsi ralat di antara model sistem dinamik dan rujukan keluaran. Parameter pengawal telah dapat diselaraskan selepas meminimumkan fungsi kos yang dipilih. Keputusan yang diperolehi daripada skim MRAC dengan peraturan MIT menunjukkan bahawa ia dapat mengawal keliangan membrane dengan berkesan. Walau bagaimanapun, tindak balas sistem ini didapati agak bergantung kepada perubahan amplitud isyarat masukan (keliangan keseluruhan). Di samping itu, nilai adaptasi tinggi mengurangkan kestabilan sistem. Dengan yang demikian, peraturan MIT telah diselaraskan dipanggil sebagai MIT diselaras ke arah menghasilkan tindak balas sistem yang bebas daripada perbezaan nilai peraturan keliangan.

 

Kata kunci:    membran serat berongga, keliangan keseluruhan, kawalan adaptif model rujukan, rangkaian neural buatan

 

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