Corpus ID: 15163419

Fuzzy Logic Based Water Bath Temperature Control System

@inproceedings{Verma2012FuzzyLB,
  title={Fuzzy Logic Based Water Bath Temperature Control System},
  author={Om Prakash Verma and Himanshu Gupta},
  year={2012}
}
Since last two decade a substantial amount of research has reported in the field of control of non-linear dynamical system using fuzzy logic(1). The work presents in this paper water bath temperature control system which is most widely used process in the process industry. Water bath conventional controllers are derived from control theory techniques to be controlled. The purpose of the feedback controller is to guarantee a desired response of the output y. The study devoted to control design… Expand

Figures and Tables from this paper

Performance Evaluation of Fuzzy Logic Controller in Water-Bath Temperature Control System
1623 ISSN: 2278 – 7798 All Rights Reserved © 2014 IJSETR  Abstract-This paper describes the performance evaluation of fuzzy logic controller in Water-Bath temperature control system using MATLABExpand
Intelligent Temperature Controller for Water-Bath System
Conventional controller’s usually required a prior knowledge of mathematical modelling of the process. The inaccuracy of mathematical modelling degrades the performance of the process, especially forExpand
Application of Fuzzy Logic Temperature Controller for Water Bottle Industry
TLDR
The result showed that Bottle water Temperature with and without Fuzzy Logic Controller were 85 0 C and 65 0 C respectively and the Temperature increased by 20 0C, which shows that using fuzzy Logic Controller gives a better result than when fuzzy logic is not used. Expand
CONSTANT WATER LEVEL CONTROLLER USING FUZZY LOGIC
Water level controller is one of the most important control system used in mechanical and high power industries as water is the main coolant used in these industries. It is necessary to build aExpand
PARAMETER CONTROLLING OF BOILER IN POWER PLANTS USING FUZZY LOGIC CONTROLLER
Boilers are used industrially both for electric power generation and for supplying process stream in thermal power plants and its control is very important in many field applications. In someExpand
A COMPARATIVE ANALYSIS FOR STABILIZE THE TEMPERATURE VARIATION OF A WATER BODY THROUGH FUZZY CONTROLLER Vs OPTIMAL REGULATOR
Minimization of performance indices is very effective criteria for real time system. The process basically indicates a stable system. Now, fixing the temperature in a water body is an importantExpand
Performance Analysis of Five Input – Three Output Fuzzy Based Washing Machine
Now a day, intelligent control of home appliances has rapid market penetration. In this paper, the authors have proposed the design of fuzzy logic controller having five inputs to give correct wash,Expand
Numerical Analysis of Fuzzy Logic Temperature and Humidity Control System in Pharmaceutical Warehouse Using MATLAB Fuzzy Toolbox
TLDR
The main aim is to achieve the output actuators with good performance, stable and smooth as the desired set point temperature and humidity and also develop fuzzy inference control system to simulate and monitor the desired temperature and ventilation system in pharmaceutical warehouse area. Expand
Comparative Analysis of Fuzzy Inference Systems for Air Conditioner
In today’s world there is exponential increase in the use of air conditioning devices. The enhancement in utilization of such devices makes it essential for them to work with their full capabilityExpand
Fuzzy Adaptive Control of Temperature Support Balanced Mechanical Ventilation System
Room ventilation system is the process of introducing outside air into a space to achieve desired indoor psychrometric conditions. Besides from providing thermal comfort and dehumidification,Expand
...
1
2
3
...

References

SHOWING 1-10 OF 13 REFERENCES
FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I
During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory. Fuzzy control is based on fuzzy logic. TheExpand
Analysis and design of a proportional plus derivative fuzzy logic controller
The objective of this paper is to present the analysis and design of a proportional plus derivative fuzzy logic controller (PDFLC) that combines the mathematical approach with the linguisticExpand
Fuzzy identification of systems and its applications to modeling and control
  • T. Takagi, M. Sugeno
  • Computer Science, Mathematics
  • IEEE Transactions on Systems, Man, and Cybernetics
  • 1985
TLDR
A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process. Expand
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
TLDR
Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right. Expand
Industrial applications of fuzzy control
Preface. Automatic Train Operation System by Predictive Fuzzy Control (S. Yasunobu, S. Miyamoto). Application of Fuzzy Reasoning to the Water Purification Process (O. Yagashita, O. Itoh, M. Sugeno).Expand
Temperature control using neuro-fuzzy controllers with compensatory operations and wavelet neural networks
TLDR
The proposed CWNFS model is five-layer structure, which combines the traditional Takagi-Sugeno-Kang fuzzy model and the wavelet neural networks (WNN) to address a Compensatory Wavelet Neuro-Fuzzy System (CWNFS) for temperature control. Expand
Explicit self-tuning control for a class of non-linear systems
TLDR
A simple locally convergent self-tuning algorithm and a globally convergent improved self- Tuning algorithm are given which provide an efficient way to the control of this class of non-linear systems. Expand
Fuzzy logic in control systems: Fuzzy logic controller- part 1,
  • IEEE trans. Syst., Man, Cybern.,
  • 1990
Explicit self-tuning control for a class of nonlinear systems,‖ Automatica, 1989.25
  • 1989
...
1
2
...