An Implementation and Comparative Analysis of PID Controller and their Auto tuning method for Three Tank Liquid Level Control

Aslam, Farhad; Haider, Mohd. Zeeshan

doi:10.5120/2529-3443

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…Above complex systems all have the large flow of liquid out, so that the containers are often designed to communicate with each other. Therefore, many scholars have been dedicated to the research on the multi-tank level control and made a number of important achievements [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Nonlinear Control for Multi-tank Level System

Sun¹

2015

TOAUTOCJ

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Abstract:For some disturbances and model uncertainties of the multi-tank level system, we developed an adaptive nonlinear control law based on the neural network to achieve high performance control. A nonlinear model including the model uncertainties and disturbances is firstly built through carefully analyzing the multi-tank level system. Based on the model, the level controller is designed, in which the adaptive law based on the neural network is used to approach the model uncertainty and disturbances, and the nonlinear feedback control law deals with the nonlinearity of the multi-tank level system. The proposed control strategy is thoroughly tested by simulation results compared with those obtained from a normal PID controller. The comparisons demonstrate that, for the multi-tank system with the model uncertainty, the designed control strategy is more advantageous in disturbance rejection, with higher control accuracy and so on, and is far superior to the PID control method.

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Section: Introductionmentioning

confidence: 99%

“…The linear model is used by [1][2][3][4][5][6], and PID controllers are designed in [2][3][4][5][6] and achieved good performance. However, the complex industry environment causes great difficulties for the accurate system model, and disturbances in the process reduce the quality of the products.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Nonlinear Control for Multi-tank Level System

Sun¹

2015

TOAUTOCJ

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“…There are many studies in the field of PID control of non-linear systems (Heong and Chong, 2006;Rajani et al, 2008;Yamamoto and Shah, 2007). Although PID control is one of the earlier methods in the control of chemical plant, artificial intelligence such as fuzzy sets and neural networks have been used to modify the PID, which led to better advanced control strategies (Aslam et al, 2011;Li et al 2007;Montiel et al, 2007;Tipsuwanporn et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Robust flow controller design and analysis for a chemical process

Alaei

Yazdizadeh

2014

Transactions of the Institute of Measurement and Control

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A large number of applications in industrial domains are concerned to slow processes, including flow, pressure, temperature and level control. Synthesis and control of such applications in the presence of uncertainty have been studied by many authors in recent decades. In this paper, a robust flow controller has been designed using H∞ techniques to define and regulate the flow of pipe. The most robust method is synthesized using a state-space approach by taking into account the structured (parametric) perturbations in the plant coefficients. The proposed approach ensures internal stability, satisfying both frequency and time domain requirements, and obtaining minimal performance H∞-norm of the closed-loop system. The simulations are carried out using MATLAB and the results are compared with the classical PID, linear–quadratic–Gaussian and H2 methods, and they indicate that the overall system output performance can be improved using the proposed H∞ robust controller.

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“…Karışım tanklarının kontrolü, gıda sanayi, tarımsal ilaçlama, tekstil, atık su arıtma, süt üretimi, nükleer enerji üretimi, kimyasal işleme, ilaç sanayi gibi endüstriyel uygulamalar için çok önemlidir [1][2][3][4][5][6]. İki veya daha fazla sıvının karışımından oluşan endüstriyel sıvı karıştırma süreçleri kontrol ve otomasyon sistemleri ile denetlenmektedir [7].…”

Section: Introductionunclassified

Isıl İşlem Uygulamalarında Kullanılan Bir Karışım Tankının Bulanık Mantık Esaslı Denetimi

Kılıç¹,

Özçalık²,

Yılmaz³

et al. 2014

KSU J. Eng. Sci.

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için çok önemlidir. Bu çalışmada çok girişli çok çıkışlı ve doğrusal olmayan bir sistem olan sıvı karışım tankının kontrolü, MATLAB/Simulink benzetim programı ile yapılmıştır. Bu karışım tankına iki pompa vasıtasıyla sıcak ve soğuk su akışı sağlanmaktadır. Suyun akış miktarı valfler ile kontrol edilerek, tankta istenilen su sıcaklığı ve seviyesi elde edilmektedir. Kontrol sistemi, karışım tankı içindeki suyun seviye ve sıcaklığını istenilen değerlerde tutmak amacıyla iki bağımsız bulanık mantık denetleyiciden oluşmaktadır. Fuzzy Logic Based Control of the Mixing Tank Used in Heat Treating ApplicationsABSTRACT: Controlling mixing tanks is of utmost importance for industrial applications such as food processing, agricultural pesticides, textile, waste water treatment, dairy production, nuclear power generation, petrochemical industries, chemical processing and pharmaceutical manufacturing. In this study, fluid mixing tank, which is a nonlinear multi input multi output system, is simulated by MATLAB/Simulink. Hot and cold water flow is provided to the mixing tank through two water pumps. Desired water temperature and level in the tank is obtained thanks to the water flow valves. The control system consists of two independent fuzzy logic controllers in order to keep the desired level and temperature of the water in the mixing tank.

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An Implementation and Comparative Analysis of PID Controller and their Auto tuning method for Three Tank Liquid Level Control

Cited by 6 publications

References 6 publications

Adaptive Nonlinear Control for Multi-tank Level System

Adaptive Nonlinear Control for Multi-tank Level System

Robust flow controller design and analysis for a chemical process

Isıl İşlem Uygulamalarında Kullanılan Bir Karışım Tankının Bulanık Mantık Esaslı Denetimi

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