Kablosuz Ağ Uygulamaları ile Dirençli Hata Kontrolünün Sıvı Seviyesine Etkisi

Year 2018, Volume: 21 Issue: 3, 685 - 691, 01.09.2018

İsmail Bayram Hale Hapoğlu Adnan Aldemir

https://doi.org/10.2339/politeknik.389610

Abstract

Bu
yayında, kablosuz proses kontrolu için geliştirilmiş bir proses simülatörü ve
kablosuz iletişim uygulamaları için kullanılan antenler ve modüller
gösterilmiştir. İlk defa parametrik olmayan yöntemler ile belirlenen,oransal
integral türevsel ayarlama katsayıları kullanılarak dirençli hata kontrol
kodunun kablosuz sıvı seviye kontrol deneyleri üzerindeki etkisi araştırıldı.
Başlangıç kontrol edici katsayıları, kablosuz iletişimle bir basamak etki
değişimine yanıt olarak elde edilen verileri gösteren proses reaksiyon eğrisi
kullanılarak belirlendi. İyi ayarlanmış kontrol parametreleri bir MATLAB grafik
aracı (SISO) aracılığıyla değerlendirildi. Proses simülatörün öngerilim
değerlerini belirlemek için kontrol vanasının sabit açıklık derecesinde (% 10)
başlangıç kararlı hal elde edildi ve sistem çıkışı 100s boyunca izlendi. 100
saniyenin sonunda, MATLAB/Simulink blok diyagramındaki kontrol anahtarı
değiştirilerek kontrol algoritması etkinleştirildi ve sistemde farklı set
noktası değişiklikleri yapıldı ve aynı anda parametrelerin etkisi gözlemlendi.
İyi ayarlanmış parametreler ile dirençli hata kontrol kullanılarak farklı set
noktalarını takip etmek için yapılan kablosuz kontrol deneylerinde sıvı
seviyesinin istenen set değerlerinin etrafında düzelme eğiliminde olduğu
görüldü. Önerilen kablosuz kontrol ve iletişim ağı performansları, farklı sıvı
seviyeleri için hesaplanan hata karelerinin toplamı (ISE) ve hata mutlak
değerlerinin toplamı (IAE) değerleri ile karşılaştırıldı.

Keywords

Kablosuz iletişim, dayanıklı (güçlü) sıvı seviye kontrolü, MATLAB/Simulink, kablosuz ağ sensörleri, MATLAB/SISO grafik aracı

Impact of Robust Error Control on Fluid Level by Wireless Network Applications

Abstract

The paper presents a process simulator developed with wireless process control purpose and antennas and modules for wireless
communication applications. The impact of robust
error control code onwireless liquid level control experiments is investigated
by means of three tuning coefficients of the proportional integral derivative
actionswhich are initially determined by using non-parametric methods. The
initial controller tuning coefficients were determined using the process
reaction curve which sketched the data obtained in response to a step change by
wireless communication.  The well-tuned
control parameters were assessed by means of a MATLAB graphical tool (SISO). To
determine the bias values of the process simulator, an initial steady state was
obtained and the system output was monitored at the constant control valve
openness (10%) for 100s. At the end of 100 seconds, the control key in
MATLAB/Simulink block diagram was changed and the control algorithm was
activated and different set point changes were given to the system at the same
time and the effect of the parameters was observed. It was seen that the liquid
level tended to level off around the desired set values in the wireless control
experiments performed to follow different set points by using the wireless
robust error control with well-tuned parameters. The proposed wireless control and
communication networkperformances were compared with the integral of squared
error (ISE) and the integral of absolute error (IAE) criteria at various fluid
levels. 

Keywords

Wireless communication, robust fluid level control, MATLAB/Simulink, wireless network sensors, MATLAB/SISO graphical tool

References

• [1] Aldemir A., Hapoğlu H. and Alpbaz M., ''Application of MATLAB/Simulink Program for Wireless Generalized Predictive Control'', International Journal of Engineering and Innovative Technology (IJEIT), 3(12): 19-22, (2014).
• [2] Murari A. and Lotto L., ''Wireless Communication Using Detectors Located Inside Vacuum Chambers'', Vacuum, 72: 149-155, (2004).
• [3] Çetinkaya S. , Durmazuçar H. H. , Zeybek Z. , Hapoğlu H. and Alpbaz M., ''Application of Temperature Control In A Bacth Polymerization Reactor At Different Optimal Temperature'', Journal of the Faculty of Engineering and Architecture of Gazi University, 28(2): 383-392, (2013).
• [4] Camcıoğlu Ş., Özyurt B., Zeybek Z. and Hapoğlu H., ''Experimental Application of One Step Ahead Advanced pH Control To Water-Based Paint Wastewater Treatment'', Journal of the Faculty of Engineering and Architecture of Gazi University, 31(3): 655-664, (2016).
• [5] Altuntaş S., Hapoğlu H., Ertunç S. and Alpbaz M., ''Experimental pH Advance Control of The Cheese Whey Bacth Kefir-Type Drink Production With Manipulated Base Flowrate'', Journal of the Faculty of Engineering and Architecture of Gazi University, 31(3): 709-716, (2016).
• [6] Donatas L., Rimvydas S. and Vytautas G., ''Adaptive Set-Point Control System For Microbial Cultivation Processes'', Nonlinear Analysis-Modelling and Control, 21(2): 153-165, (2016).
• [7] Martin D., Klavco F. J., Janecek F. and Kvasnica M. ''Optimal Control of a Laboratory Binary Distillation Column via Regionless Explicit MPC'', Computers and Chemical Engineering, 96: 139–148, (2017).
• [8] Cancelier A., Claumann C. A., Bolzan A. and Machado R.A.F., ''Predictive Control of Batch Polymerization System Using A Feedforward Neural Network With Online Adaptation By Genetic Algorithm'', Brazilian Journal of Chemical Engineering, 33(1): 177-190, (2016).
• [9] Cohen, G. H. and Coon, G. A.,''Theoretical Consideration of Retarded Control'', Transactions of ASME,75: 827–834, (1953).
• [10] Aldemir A. and Hapoğlu H., ''Comparison of PID Tuning Methods For Wireless Temperature Control'', Journal of Polytechnic, 19(1): 9-19, (2016).
• [11] Altinten A., Erdogan S., Alioglu F., Hapoglu H. and Alpbaz M., ''Application of Adaptive PID Control With Genetic Algorithm to A Polymerization Reactor'', Chemical Engineering Communications, 191: 1158-1172, (2004).
• [12] Giwa A., ''PI and PID Control of a Fuel Additive Reactive Distillation Process'', ARPN Journal of Engineering and Applied Sciences, 11(11): 6779-6793, (2016).
• [13] Boiko I., ''Variable-Structure PID Controller for Level Process'', Control Engineering Practice, 21(5): 700–707, (2013).
• [14] Ramirez J. A., Alvarez J., and Schaum A., ''On The Global Stability of Conventional PID Control for A Class of Chemical Reactors'', International Journal of Robust and Nonlinear Control, 22(5): 575-590, (2012).
• [15] Aström K. J. and Hagglund T. H., ''The Future of PID Control'', Control Engineering Practice, 9(11): 1163-1175, (2001).
• [16] Liu G. P. and Daley S., ''Optimal-Tuning PID Control for Industrial Systems'', Control Engineering Practice, 9(11): 1185-1194, (2001).
• [17] Bayram İ., ''İleri Kontrol Yöntemleriyle Kablosuz Sıvı Seviye Kontrolü'', Doktora Tezi, Ankara Üniversitesi, Fen Bilimleri Enstitüsü, (2015).