The aim of this paper is to implement controllers based on soft computing techniques in real time for a non-linear process. The process taken up for study is to control the level in a conical tank setup using cost effective data acquisition system. The system identification of this nonlinear process is done using black box modeling and found to be First Order Plus Dead Time (FOPDT) model. Then ...

Automatic control has played a vital role in the evolution of engineering and science. It is also important in such industrial operations as controlling temperature, pressure, humidity, flow and level in the process. This paper focus on the development and implementation of an intelligent optimization to obtain a optimum PID controller settings for level control process in cylindrical tank. Sys...

A model-based autotuning system is presented for PI/PID controllers. A conventional relay feedback test is used to generate the response for estimations of parameters such as: process gain, ultimate gain, ultimate frequency, and apparent deadtime. Two ANNs are built based on the data generated from standard SOPDT processes to enhance the estimation of apparent deadtime. Upon having the estimate...

Design of centralized PI controllers for multivariable non square systems is proposed in the present work. The controller designed based on direct synthesis method. method includes approximating inverse process transfer matrix with effective function matrix. each element derived by using relative normalized gain array (RNGA), and average residence time (RARTA) concepts Cai et al [1]. models use...

Incineration is the waste combustion at controlled high temperatures which converts into flue gas with main components being CO2 and water. Temperature control aims to ensure safe operation. In this study, temperature controller uses a two-position whose include two thermocouples, MAX6675, burners, blower, Arduino, one laptop. controllers were used maintain in chamber afterburner specified setp...

Dynamic Matrix Control (DMC) is a widely used model predictive controller (MPC) in industrial plants. The successful implementation of DMC in practical applications requires a proper tuning of the controller. The available tuning procedures are mainly based on experience and empirical results. This paper develops an analytical tool for DMC tuning. It is based on the application of Analysis of V...

This paper is concerned with process identification by curve fitting step responses. Both open-loop and closed-loop identification are studied using simulated data for typical examples as well as experimental data from a laboratory plate heat exchanger. Timedomain curve fitting utilizing efficient local optimization techniques is employed to find the parameters of the process model. Process mod...