Intelligent traffic signal control (TSC) system is important for the alleviation of traffic congestion. Usually, most of the researches about TSC focused on single intersection based on type-1 fuzzy set. Compared with type-1 fuzzy logic controller (FLC), type-2 FLC can deal with more uncertainties in the road traffic control system. Therefore, a type-2 FLC optimized by NSGAII (T2-NSGAII) is des...

This paper proposes an adaptive genetic algorithm (FLC-aGA) approach based on fuzzy logic controller (FLC) for evaluating the reverse logistics (RL) networks with centralized centers. For the FLC-aGA approach, an adaptive scheme using a fuzzy logic controller is applied to GA loop. Five components which are composed of customers, collection centers, recovery centers, redistribution centers, and...

There are many power electronic converters and motor drives connected together to form the electrical system of an Electric Vehicle. In this paper, we have presented a modeling tool that has the advantages of utilizing capabilities of the PMSM software in detailed simulations of converters, motor drives, and electric machines. In addition, equivalent electrical models of Electric Vehicle drive ...

Separately excited dc motors (SEDCM) are generally used in laboratory and industrial applications due to their high efficiency, performance response torque. An idea is proposed this paper by applying the PI Fuzzy Logic Controller (FLC) control speed of SEDCM. Simulink model with without FLC has been developed Matlab analyze motor. Based on simulation results it said that characteristics better ...

In this paper, using the linearized equations of an inverted pendulum, a fuzzy logic controller (FLC) is designed for stabilizing its motion. The complete closedloop control system is observed for its output response employing unit step input. Further, an approach is presented for analyzing the stability nature of fuzzy logic controller. For this, utilizing the output membership values obtained...

Most previous work about the hardware design of a fuzzy logic controller (FLC) intended to either improve its inference performance for real-time applications or to reduce its hardware cost. To our knowledge, there has been no attempt to design a hardware FLC that can perform an adaptive fuzzy inference for the applications of on-line adaptation. The purpose of this paper is to present such an ...

This paper presents an indirect adaptive fuzzy control scheme for a class of single-input-single-output (SISO) nonlinear systems. A Takagi-Sugeno (T-S) fuzzy model is employed as a dynamical model of the partially known nonlinear system. Both the structure and the parameters of the T-S model are identified on-line. A T-S model based feedback linearization controller (FLC) is designed and a Lyap...

Abstract— This paper presents a comparative analysis of speed control in brushless DC motor (BLDC motor) using proportional-integral (PI) controller and Fuzzy logic controller (FLC). The controllers were analyzed under no load and loaded condition of the motor. The various parameters such as settling time, peak over shoot, steady state error, and mean square error were calculated and compared f...

This paper presents a fuzzy controller (FC)based single-ended primary-inductor converter (SEPIC) for maximum power point tracking (MPPT) operation of a photovoltaic (PV) system along with battery. The FLC proposed scheme uses the convergent distribution of the membership function. The fuzzy controller for the SEPIC MPPT scheme shows the voltage without any changes in different load conditions a...

This paper presents the design of a Fuzzy Logic Controller (FLC) whose parameters are optimized by using Genetic Algorithm (GA) and Bacteria Foraging Optimization (BFO) for tip position control of a single link flexible manipulator. The proposed FLC is designed by minimizing the fitness function, which is defined as a function of tip position error, through GA and BFO optimization algorithms ac...