Experimental Study of Temperature Control using Soft Computing

Experimental Study of Temperature Control using Soft Computing

This paper experimentally investigates the control of an industry based shell and tube heat exchanger. The hot fluid outlet temperature in the shell side is maintained by manipulating the cold fluid temperature in the tube side. The Fuzzy Logic based Controller (FLC) has been implemented in a MATLAB environment using cost effective ADAM’s module and compared with the Proportional Integral (PI) ...

Implementation of Temperature Process Control using Soft Computing Techniques

Objective of this paper is to design various controllers for a temperature process control. PID controller is the well known and most widely used in the industries. Internal Model Control (IMC) has become the leading form of advanced control in the process industry. Modified form of IMC-PID and Fuzzy PID Controllers are designed for First Order Plus Dead Time (FOPTD) process model. The comparat...

Weather Forecasting Using Soft Computing: Minimum Temperature, Maximum Temperature & Pressure

In a developing country, like India where agriculture is the base for national economy, the weather conditions including Minimum Temperature, Maximum Temperature and Pressure play a leading role. Therefore having accurate weather forecasting information may allow farmers to make their better decisions on managing their farms. Similar statement can be made for industries where accurate weather c...

Classification of Ultra-high Resolution Images using Soft Computing

The main objective of this paper is to use a computational intelligence algorithm for preparing a mapping map that categorizes different patterns of identification of infected areas and changes in radiation pollution. In this paper, the use of the fuzzy inference system has been proposed to determine the degree of radiation contamination in the regions. The study uses ultra-high resolution spec...

Intelligent Control Systems Using Soft Computing Methodologies