The paper investigates and explains a new simple analytical tuning of proportional-integrative-derivative (PID) controllers. In combination with nth order series binomial low-pass filters, they are to be applied the double-integrator-plus-dead-time (DIPDT) plant models. With respect use derivatives, it should understood that design appropriate filters is not only an implementation problem. Rath...

Interest in relational and first-order languages for probability models has grown rapidly in recent years, and with it the possibility of extending such languages to handle decision processes—both fully and partially observable. We examine the problem of extending a first-order, open-universe language to describe POMDPs and identify non-trivial representational issues in describing an agent’s c...

Recently, through the use of soft computing techniques fine tuning of PID controller parameters are carried out for non linear process. In this paper the Genetic Algorithm (GA) optimization technique, is successfully applied for tuning PI controller used in conical tank level process and hence to minimize the integral time absolute error (ITAE). A conical tank level process is represented as fi...

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...

The existing methods improved for the unstable objectives with dead time include Smith predictor, PID, IMC and others. There is little issue to deal with stabilization control of high order and unstable system with dead time. We employ the method of twice optimization control (TOC) for the unstable system with dead time. The factor e expands as a linear expression at first step. The controlled ...

In any processes industry, process variables that need to be controlled are temperature, level, pressure and flow. This paper deals with an application of genetic algorithm to find the PID controller values to control the liquid level in the cylindrical tank. A process is identified as first order plus dead time model (FOPTD) and is validated. The intension of this paper is to obtain a minimum ...

A real time implementation of Fuzzy logic controller (FLC) for a spherical tank to control liquid level is studied. Control of liquid level in a spherical tank is highly non linear due to variation in the area of cross section of level system with change in shape .System identification of spherical tank system is done using black box model which is identified to be non linear and approximated t...