In this work, Particle Swarm Optimization (PSO) based intelligent controller design technique is attempted for a nonlinear spherical tank process. The search process is guided by an objective function, which considers the minimization of some key parameters such as Integral Square Error (ISE), Integral Absolute Error (IAE), and settling time (ts) of the process under study. The proposed control...

This study aims to develop an accurate dynamic cutting force model in the milling process. In proposed model, estimated tackles effect of self-excited vibration that causes machining instability during particular, square root residual between prediction and actual is considered as objective function for optimizing coefficients using equilibrium optimizer (EO) approach instead trial-and-error ap...

In this chapter, a proportional-integral derivative (PID)-type fuzzy logic controller (FLC) is proposed for a discrete-time system in order to track a desired trajectory generated using the flatness property. In order to improve the performance of the proposed controller, genetic algorithm (GA) based on minimizing the integral of the squared error (ISE) is used for tuning the input and output P...

This paper presents a performance based comparative study of various fuzzy logic controllers (FLCs) to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional??integral (PI) controller. The fuzzy logic based controller does not require any identification of motor dynamic to control its speed and also assures the disturbance rejection with high robust...

a back propagation artificial neural network (bpann) is a well-known learning algorithmpredicated on a gradient descent method that minimizes the square error involving the networkoutput and the goal of output values. in this study, 261 gps/leveling and 8869 gravity intensityvalues of iran were selected, then the geoid with three methods “ellipsoidal stokes integral”,“bpann”, and “collocation” ...

A study of the raindrop size distribution along the eastern coast of South Africa (Durban) is presented. The Biweight kernel estimator based on distometer measurement is used to determine the best estimate of the measured raindrop size probability distribution function (pdf). The best kernel estimator, which results in the lowest integral square error (ISE), is used to measure the closeness of ...

In the present work, heat exchanger process is selected for investigation, which can be modelled as first order plus dead time model. PI controllers using various tuning techniques that are Ziegler-Nichols, Shinskey, Skogestad, Liptak and Moros have been designed for the selected process. Important time response characteristics and integral error performance indices viz. ISE, IAE and ITAE are c...

In this paper various methods for the designing of centralized PI controller for desalination system and distillation columns given in the literatures are discussed. Various tuning methods given by Davison and Maciejowski are used. The performance of the closed loop system servo responses are compared of terms of ISE. The better controller tuning method is chosen by means of least ISE value. IN...

Reduction of Single Input Single Output (SISO) continuous systems into Reduced Order Model (ROM), using a conventional and an evolutionary technique is presented in this paper. In the conventional technique, the mixed advantages of Mihailov stability criterion and continued fraction expansions (CFE) technique is employed where the reduced denominator polynomial is derived using Mihailov stabili...

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 ...