A Real-Time Robust Fuzzy-based Level Control using Programmable Logic Controller

Abstract

Industrial software are specially designed to meet specific process. And sometimes this software can be very expensive. One way to reduce this cost is to develop own algorithm. This paper presents a real-time liquid level control implementation for an industrial process. The implementation of the level control is achieved using a fuzzy-based control algorithm. A Programmable Logic Controller (PLC) was used in which the fuzzy control algorithm has been embedded and can withstand against abrupt changes in the outlet flow. In addition, the fuzzy control algorithm is introduced to the system without a fuzzy module or software package. As a consequence, a robust and low cost liquid level control system has been realized. A Mamdani Fuzzy Inference System (MFIS) has been proposed. Membership functions of the input and output variables of the system were obtained and verified using Matlab/Simulink environment. The obtained functions have been used for the construction of fuzzy control algorithm in PLC. A robust fuzzy-based level controller has been achieved and quite satisfactory results were obtained in real-time implementation for different outlet flow rates.

Kendali PI-D dan Kontrol Fuzzy pada Plant Level Air Terdistribusi

“…Persoalan integrasi dan koordinasi plant proses yang berjauhan memiliki kelemahan diantaranya adanya tundaan, hilang dan tabrakan informasi, isu beban energi (overload) dll. Beberapa penelitian telah mencoba mengatasi masalah-masalah tersebut, dengan menerapkan teknik kendali klasik berbasis model plant linier (Ahmad, dkk, 2012) (Negash Getu, dkk, 2016) untuk mengatasi persoalan tundaan (delay) dari transmisi sensor ke pengendali (kontroler), pendekatan kecerdasan buatan dengan Fuzzy dan algoritma genetik (Aydogmus, 2015) (Komenda, dkk, 2010) untuk mengatasi hilangnya atau tabrakan informasi, dan model kendali prediktif untuk meningkatkan efisiensi energi (Luyben, 2020a) (Pasha & Ayub, 2021). Meskipun demikian, penelitian-penelitian tersebut masih memiliki keterbatasan dalam meningkatkan kecepatan atau performansi pengendalian dan akurasi pengukuran.…”

Disturbance Compensation in Fuzzy Logic Control of Level in Carbonisation Column for Soda Production

“…[6,10,11 ]. They are tested via simulations [12] or in real time control [ 13,14,15]. Only a few are implemented in l ow-cost programmable logic controllers (PLC) and microcontrollers [13,16].…”

“…They are tested via simulations [12] or in real time control [ 13,14,15]. Only a few are implemented in l ow-cost programmable logic controllers (PLC) and microcontrollers [13,16]. The real time experiments, however, are for the control of plant models in a laboratory environment free of industrial disturbances and measurement noise.…”

Industrial implementation of the immune network modeling of complex objects on the equipment schneider electric and siemens

“…[2][3][4]. In work [5] there was presented a system with a programmable logic controller, where under the complex object of control is considered a liquid storage tank. Robust control system in real time is based on fuzzy logic.…”