In continually increasing area and structure of modern power system having burden demand uncertainties, the use knowledgeable vigorous frequency strategy is essential for satisfactory functioning Power system. A combined fuzzy proportional-integral-derivative (CFPID) controller suggested supervision To optimize parameters, a review sine cosine work adjusted improved whale optimization algorithm...

Control of process parameters are important in the chemical process industries. Proportional, integral and derivative controller is the most commonly used to form a closed loop system for the effective control of process parameter. In this paper, a liquid level in the cylindrical tank is to be controlled at setpoint value. At first, The model for such a real time process is identified and valid...

This Paper presents a novel Cultural Algorithm based particle swarm optimization (PSO) technique which is intended to assist in converging to a accurate solution in the control of Linear Brushless Direct Current motor (LBLDC). With the novel PSO-based approach the optimal Proportional-Integral-Derivative (PID) controller parameters are deduced for efficient speed control of Linear Brushless DC ...

Due to its extensive use for motion control systems in industry, tuning of the proportional-integral-derivative (PID) controller parameters has been the focus of intensive research. In this paper, a novel tuning method for the parameters of PID controller based speed control of DC motor using genetic algorithm (GA) is proposed. The main advantage of the proposed method is that the mathematical ...

Fuzzy logic and proportional-integral-derivative (PID) controllers are compared for use in direct current (DC) motors positioning system. A simulation study of the PID position controller for the armature-controlled with fixed field and fieldcontrolled with fixed armature current DC motors is performed. Fuzzy rules and the inferencing mechanism of the fuzzy logic controller (FLC) are evaluated ...

One of the challenging tasks concerning two wheeled inverted pendulum (TWIP) mobile robot is balancing its tilt to upright position, this is due to its inherently open loop instability. This paper presents an experimental comparison between model based controller and non-model based controllers in balancing the TWIP mobile robot. A Fuzzy Logic Controller (FLC) which is a non-model based control...

In this paper we have designed a DC motor whose speed can be controlled using PID controller. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to FUZZY LOGIC. First, the fuzzy logic controller is designed according to fuzzy rules so that the systems are fundamentally robust. There are 25 fuzzy rules for self-tuning of each parameter of PID ...

: In this paper we used transfer function of second order of separately excited dc motor and compare their performance of speed regulation using PID controller and GA based hybrid fuzzy controller. In this paper our approached to tune the fuzzy logic controller using genetic algorithm. Fuzzy logic controller tuned by the lesser number of design parameter and all the control strategies utilize. ...

Abstract. Proportional-integral-derivative (PID) control is the most popular control architecture used in industrial problems. Many techniques have been proposed to tune the gains for the PID controller. Over the last few years, as an alternative to the conventional mathematical approaches, modern metaheuristics, such as evolutionary computation and swarm intelligence paradigms, have been given...

Our objective is to apply the fractional PID controller to enhance the system control performances. Unlike Proportional Integral Derivative (PID) controller, there is no systematic and yet rigor design or tuning method existing for this PID controller. In this paper a method to design PID controller is presented. The basic ideas of the tuning method are based, in the first place, on the convent...