Fuzzy control of a neutralization process

Fuente, José Luis de la; Robles, Carlos León; Casado, O.; Tadeo, R.

doi:10.1109/cca.2002.1038746

Cited by 15 publications

(16 citation statements)

References 10 publications

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“…Unlike a classical PI or PID controller, no precise mathematical model is required to design a fuzzy logic controller and in many cases they can be implemented very easily by using operator knowledge. FLC in various forms are being designed and implemented successfully for various control applications (Yan et al, 1994;Hilloowala and Sharaf, 1996;Spiegel et al, 2003;Adda et al, 2005;Park and Cho, 2005;Fuente et al, 2006;Ghasem, 2006;Fileti et al, 2007). The classical type FLCs' performance is not up to the expected level for all types of industrial processes because they are usually designed with predetermined value of scaling factor (SF) and membership functions (MFs).…”

Section: Introductionmentioning

confidence: 99%

A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system

Kanagaraj

Sivashanmugam

Paramasivam³

2010

IJAAC

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A self-tuning control scheme using fuzzy logic has been studied for a pilot pressure regulating system. In this hierarchical control technique, a rulebase supervisory fuzzy system is designed to tune the input scaling factor (SF) of a direct fuzzy system according to the process condition. The proposed controller design concentrates more on improving the robustness and stability of the controller during process disturbances and changes in operating level. The proposed control scheme is implemented in an ARM7 microcontroller based embedded target board to study its applicability for real time pressure control application. The performance of the developed control scheme is compared with classical fuzzy controller under different operating level and process disturbance. Results show that the proposed self-tuning fuzzy controller outperforms the conventional method for pressure regulation.Reference to this paper should be made as follows: Kanagaraj, N., Sivashanmugam, P. and Paramasivam, S. (2010) 'A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system', Int. He is also a Reviewer for many IEEE journals, Acta Press, Inderscience journals, Elsevier journals, Hindwai journals and IEEE conferences. His interests include power electronics, AC motor drives, DSP-and FPGA-based motor controls, powerfactor correction, magnetic design, fuzzy logic, neural networks and controller design for wind energy conversion systems.

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Section: Introductionmentioning

confidence: 99%

A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system

Kanagaraj

Sivashanmugam

Paramasivam³

2010

IJAAC

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“…These can be developed from experience about the process. The range of membership function depends upon the operating region of the process [10]. By trial and error, the range, gain values, as well as rule set can be modified and FLC can be implemented.…”

Section: Introductionmentioning

confidence: 99%

Design of Fuzzy Logic-Based pH Controller for High-Pressure-Rated Modified CSTR System

Kannangot¹,

Lakshmi²,

Thiruppathi

2014

Advances in Intelligent Systems and Computing

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In this paper, control of pH in the high-pressure-rated environmental continuous stirred tank reactor (CSTR) where deep sea conditions are mimicked is considered. Since the pressure in deep sea is higher, the pressure inside the environmental CSTR is also kept at an elevated value. Temperature inside the system is considered to be constant. Control of pH inside such a high-pressure-rated environmental CSTR system is a tedious task. First-order plus dead time (FOPDT) model is derived from the real-time system open-loop pH curve. Conventional PI controller and fuzzy logic controller are developed for the control of pH and their performance indices also compared. MATLAB Simulink block is used for controller simulation and result comparison. PI controller is tuned using minimum ISE Zhuang and Atherton method tuning protocols. Simulation result of PI controller and fuzzy logic controller are presented for comparing their efficiency; also various performance indices are calculated, and the best control action is identified. Fuzzy logic controller gives better servo and regulatory response than PI controller.

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“…The idea of using fuzzy sets [32] is successfully applied, for the first time, in the control of a dynamic plant developed by Mamdani and Assilian [33]. Currently, there are different types of FLC, but a PID-based FLC is the most common and practical for applications to ACS [34][35][36][37][38]. Such FLC is equivalent to a conventional PID controller for the input-output structure [34,39].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Manenti

Rossi

Goryunov

et al. 2015

Resource-Efficient Technologies

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Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighboring units, thus their dynamic behavior is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behavior.In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective.

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Fuzzy control of a neutralization process

Cited by 15 publications

References 10 publications

A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system

A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system

Design of Fuzzy Logic-Based pH Controller for High-Pressure-Rated Modified CSTR System

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

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