The purpose of the study is the synthesis of a reliable and robust fuzzy controller for a 2 order DC servodrive. A first step is to prepare the computations associated to the main control loops for the above mentioned servosystem. This approach aims to aggregate the relations for the position and the velocity loops as an unique computation formula expressed into the variables specific for the r...

This study presents the implementation of Artificial Bee Colony (ABC) optimization in an island hybrid power system model using fuzzy logic-based load frequency control. The Island Hybrid Power System considered this consisted various generation units and energy storage system. optimized control parameters PID ABC were used intelligent logic controller. profiles (power & Frequency) isolated...

Neuro-fuzzy approaches are developed, in the present work, to determine time-optimal, collision-free path of a car-like mobile robot navigating in a dynamic environment. A fuzzy logic controller (FLC) is used to control the robot and the performance of the FLC is improved by using three different neuro-fuzzy (NN-FLC) approaches. The performances of these neuro-fuzzy approaches are compared amon...

This paper deals with the design of a novel fuzzy proportional–integral–derivative (PID) controller for automatic generation control (AGC) of a two unequal area interconnected thermal system. For the first time teaching–learning based optimization (TLBO) algorithm is applied in this area to obtain the parameters of the proposed fuzzy-PID controller. The design problem is formulated as an optimi...

This paper presents a method for features space optimization in a context of fuzzy image classification. Based on membership functions intersections, the method allows to select the most appropriate features for objects discrimination. Comparison of the eCognition nearest neighbor algorithms and fuzzy classification is provided with the use of un-optimized and optimized features sets.

Fuzzy Decision Tree induction is a powerful methodology to extract human interpretable classification rules. The induction of fuzzy decision tree is done using popular Fuzzy ID3 algorithm [1, 2]. The other parameters which influence the performance of fuzzy decision tree are cut standard parameter  and leaf selection threshold parameter th  . Generally these parameters are to be selected heur...

. Abstract The brushless DC motor (BIBCM) is receiving wide attention for industrial applications because of their high torque density, high efficiency and small size. Conventional eontrollers suffer h m uncertain parameters and the non-linear of the BLDCM. The fuzzy control has been focus in the field of the control of the BLDCM. However, a systematic method for designing and tuning the fuzzy ...

Unlike commonly used methods, in this paper, we have introduced a new approach for designing fuzzy controllers. In this approach, we have simultaneously optimized both objective functions of a supply chain over a two-dimensional space. Then, we have obtained a spectrum of optimized points, each of which represents a set of optimal parameters which can be chosen by the manager according to the i...

Changes in operating conditions can alter performances of nonlinear processes controlled with a fixed PID algorithm. One way of preventing degradation is to develop a supervised control system. In this paper we present some results about fuzzy gain scheduling of a double PID controller for stabilization of an inverted pendulum on a cart. First, on the basis of the responses obtained with an uns...

Mobile Ad-hoc Networks consists of large number of mobile nodes having limited number of resources like energy, storage capacity, processing capabilities and so on. The energy of a mobile node in the MANET environment is the most critical factor as the life time of a MANET is based on the energy of the participating nodes. OLSR is one of the routing protocols used in the MANET environment to su...