Fuzzy Logic Based Automation and Control of Vacuum Neutralisation and Evaporation for Ammonium Nitrate (NH4NO3) Prilling Process: A Simulation Approach
نویسندگان
چکیده
Ammonium Nitrate (AN) prilling Process is nonlinear and non stationary in nature. Due to uncertainty created by nonlinear conditions like temperature rise due to exothermic reaction in the neutraliser, level in the evaporator, velocity of the cooling air in prilling tower, temperature and moisture content of prills and size of the prills. Due to these difficulties the degree of automation is quite low in such process industries. The fuzzy logic control (FLC) is proven better for such types of processes where process dynamics is complex. In present paper, a fuzzy logic based scheme has been proposed for automation and control of Vac uum ne utra l i sa t ion and evapor a t ion s tage for ammonium nitrate(NH4NO3) prilling process. The system design starts from identification of inputs, Outputs and the membership function for each condition from normal operation up to emergency operation of ammonium nitrate prilling process.
منابع مشابه
SIMULATION AND MONITORING OF THE MACHINING PROCESS VIA FUZZY LOGIC AND CUTTING FORCES
On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems (FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in turning operation. Cutting parameters and cutting forces were considered as the input and the wear rate was regarded as the output data in the fuzzy logic for construct...
متن کاملArtificial Intelligence for Inferential Control of Crude Oil Stripping Process
Stripper columns are used for sweetening crude oil, and they must hold product hydrogen sulfide content as near the set points as possible in the faces of upsets. Since product quality cannot be measured easily and economically online, the control of product quality is often achieved by maintaining a suitable tray temperature near its set point. Tray temperature control method, however, is n...
متن کاملControlling Electrochemical Machining By Using a Fuzzy Logic Approach
New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...
متن کاملDesign of Fuzzy Logic Based PI Controller for DFIG-based Wind Farm Aimed at Automatic Generation Control in an Interconnected Two Area Power System
This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...
متن کاملIS-MRAS With On-Line Adaptation Parameters Based on Type-2 Fuzzy LOGIC for Sensorless Control of IM
This paper suggests novel sensorless speed estimation for an induction motor (IM) based on a stator current model reference adaptive system (IS-MRAS) scheme. The IS-MRAS scheme uses the error between the reference and estimated stator current vectors and the rotor speed. Observing rotor flux and the speed estimating using the conventional MRAS technique is confronted with certain problems relat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013