The aim of this work is to evaluate the effectiveness of a Simple Tuning algorithm applied on a Fuzzy Pulse Width Modulation controller in a real situation with DC gear motors. The fuzzy logic model proposed to control motor’s no-load speed consists in 25 rules based on Mamdani Fuzzy Inference System. A hardware implementation and an interface are designed for controlling the plant. In addition...

The design and optimization process of fuzzy controllers can be supported by learning techniques derived from neural networks. Such approaches are usually called neuro-fuzzy systems. In this paper, we describe the application of an updated version of the neuro-fuzzy model NEFCON to a real plant. The NEFCON model is able to learn and optimize the rulebase of a Mamdani-type fuzzy controller onlin...

This paper presents a study on inference in a Fuzzy Logic Controller (FLC). Inference is made up of interpretation, implication, combination and defuzzification. These last two steps can be performed in two sequences. An explanation, through approximate reasoning, on how to implement other than the welìknown Mamdani and Larsen implications is given. (Dis)advantages of several combinations of im...

This paper is concerned with the problem of adaptive fuzzy output tracking for a class of perturbed strict-feedback nonlinear systems with time delays and unknown virtual control coefficients. Fuzzy logic systems in Mamdani type are used to approximate the unknown nonlinear functions, then the adaptive fuzzy tracking controller is designed by using the backstepping technique and Lyapunov–Krasov...

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...

Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership function training in the context of Mamdani fuzzy models. Specifically, auto zoom function of a digital camera is modelled using Mamdani technique. The performance of control method is verified through a series of simul...

A dynamic positioning (DP) system is a computer-controlled which maintains the and heading of ship by means active thrust. DP consist sensors, observer, controller thrust allocation algorithm. The purpose this paper to investigate performance proportional derivative type fuzzy with Mamdani interface scheme for an oceanographic research vessel (ORV) numerical simulation. Nonlinear passive observ...

This paper describes a genetic-fuzzy approach for controlling a nonlinear model of the HIV immunology. The approach is set up to find mamdani fuzzy controllers capable of boosting the immune response while reducing the systemic cost to the body due to the use of high efficacy drugs. General aspects of the genetic fuzzy system are described while special emphasis is given to control results. The...

A novel speed sensor less adaptive robust control method is proposed to improve the trajectory tracking performance of induction motors. The proposed design employs the so called vector control (or field oriented control) theory for the multilevel inverter fed induction motor drives. The inverter design is based on threelevel Neutral Point Clamped (NPC) inverter with hysteresis current control ...

In this paper we present a study on inference in a Fuzzy Logic Controller (FLC). Many different implication operators have been proposed in the Fuzzy Logic literature; we take into account five of them that have already been used in fuzzy control. In order to evaluate the advantages and disadvantages of each implication in practical applications, we consider the controller's defuzzified output ...