A concept called the decomposition of multivariable control rules is presented. Fuzzy control is the application of the compositional rule of inference and it is shown how the inference of the rule base with complex rules can be reduced to the inference of a number of rule bases with simple rules. A fuzzy logic based controller is applied to a simple magnetic suspension system. The controller h...

This paper presents an internal fuzzy neural model for PID controller tuning. The designed model is used as a predictor in an optimization task for PID controller. It is used a simplified gradient algorithm during the training of the fuzzy neural architecture and for tuning of PID controller’s parameters. The designed tuning algorithm is used for level control of a two cascaded water tanks. The...

DC motor has been widely utilized as a part of much mechanical provision for their exact, basic and nonstop control attributes. We have different controller for control dc motor speed with the help of PID& FUZZY TOOLS sliding mode using software Matlab and experiment set up. The International Journal of Electrical, Electronics and Mechanical Controls ISSN (Online) : 2319-7501 Volume 4 Issue 3 S...

This paper deals with the novel intelligent bio-inspired control strategies, it presents a novel approach based on an optimal fuzzy immune PID parameters tuning, it is a combination of a PID controller, inspired by the human immune mechanism with fuzzy logic. Such controller offers more possibilities to deal with the delayed systems control difficulties due to the delay term. Indeed, we use an ...

Networked control systems (NCS) have been in attention for many researchers for the past ten years. Professional solutions like PROFINET or IWLAN are followed with cheaper and popular networks like ZigBee. Multiple control methodologies have been developed for this kind of systems. In this paper we threated network disadvantages as uncertainty and we reduced them with type-2 fuzzy logic control...

--This paper presents the application of a fuzzy Logic controlled to improve stability of power system. The system in this study is a two-area electrical interconnected power system. Also, in this paper, the effect of a conventional controller PID, and a fuzzy logic gain scheduling PID (FGPID) controller on power system stability are compared. The performance of these controllers in First, sett...

A Firefly Algorithm (FA) based on Fuzzy PID controller is proposed in this paper to solve the Load Frequency Control (LFC) problem in a deregulated environment. In multi area electric power systems, if a large load is suddenly connected (or disconnected) to the system, or if a generating unit is suddenly disconnected by the protection equipment, there will be a long-term distortion in the power...

The objective of this paper is to compare the time specification performance between conventional controller and Fuzzy Logic controller in position control system of a DC motor. The scope of this research is to apply direct control technique in position control system. Two types of controller namely PID and fuzzy logic PID controller will be used to control the output response. This paper was w...

An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS FPID) controller consists of both fuzzy PI-like controller and fuzzy PD-like controller. Both of fuzzy PIlike and PD-like controllers are weighted through adaptive gain scheduling, which are also determined by fuzzy logic inference. A modified genetic algor...

Most industrial robots are controlled as position servo-based manipulators. This has made most advanced force control algorithms unpractical and difficult to implement. In this paper a position based fuzzy PID force controller is proposed to regulate contact force of a six degree of freedom industrial robot where the environment contact stiffness varies considerably. Based on a relationship bet...