This paper presents a method for designing of proportional-integral-derivative (PID) controller based on unified power flow controller (UPFC) using chaotic harmony search algorithm (CHS) for damping of low frequency oscillations (LFO) in a power system. The main aim of this paper, optimization of selected gains with the time domainbased objective function which is solved by chaotic harmony sear...

This paper attempts to tune any controller without the knowledge of mathematical model for the system to be controlled. For that purpose, the optimization algorithm of MATLAB / Nonlinear Control Design Blockset (NCD) is adapted for On-line tuning for controller parameters. To present the methodology, a PID controller is verified with the physical plant using the engine speed control System wher...

Introduction Focused ultrasound induced heating for use in thermal therapy requires reliable temperature control to assure safety and therapeutic accuracy. MR thermometry based on the proton resonance frequency shift (PRFS) [1] in combination with a proportional, integral, derivative (PID) feedback control [2] has been suggested as a precise solution for controlling high intensity focused ultra...

One of the most basic functions of control engineers is tuning of controllers. There are always several process loops in the plant necessitate of tuning. The auto tuned Proportional Integral Derivative (PID) Controllers are designed for applications where large load changes are expected or the need for extreme accuracy and fast response time exists. The algorithm presented in this paper is used...

Proportional, Integral and derivative (PID) controllers are the most widely-used controller in the chemical process industries because of their simplicity, robustness and successful practical application. Many tuning methods have been proposed for PID controllers. Our purpose in this study is comparison of these tuning methods for single input single output (SISO) systems using computer simulat...

Reliable stabilization and regulation of two-channel decentralizedmulti-inputmulti-output (MIMO) control systems is considered. The system has integral-action due to using proportional+ integral+ derivative (PID) controllers. Closed-loop stability and asymptotic tracking of step-input references are achieved at each output channel when all controllers are operational. Stability is maintained wh...

This study aims to establish a mathematical model for the Continuous Stirred Tank Reactor (CSTR) reactor that exhibits highly nonlinear dynamics and was carried out implemented by model-based conventional non-conventional controllers temperature control. The developed were Proportional, Proportional-Integral, Proportional-Derivative, Proportional-Integral-Derivative, Two Degrees of Freedom, Mod...

The present paper studies the use of genetic algorithm to optimize tuning Proportional, Integral and Derivative (PID) controller. Two control criteria were considered, integral time multiplied by absolute error (ITAE), output (ITAY). variant plant tested is a first-order with delay. We aim at real implementation inside digital board, so, previous continuous approach was discretized tested; corr...

A class of stabilizing decentralized proportional integral derivative (PID) controllers for an n-link robot manipulator system is proposed. The range of decentralized PID controller parameters for an n-link robot manipulator is obtained using Kharitonov theorem and stability boundary equations. Basically, the proposed design technique is based on the gain-phase margin tester and Kharitonov’s th...

This paper describes the design of a new self-tuning controller to control tip trajectory and tip deflection of a two-link flexible manipulator handling variable payloads based on nonlinear autoregressive with moving average and exogenous input (NARMAX) model. This proposed adaptive controller consists of a multivariate proportional integral and derivative (PID) feedback loop. The gains of the ...