anti-lock braking system (abs) is a nonlinear and time varying system including uncertainty, so it cannot be controlled by classic methods. intelligent methods such as fuzzy controller are used in this area extensively; however traditional fuzzy controller using simple type-1 fuzzy sets may not be robust enough to overcome uncertainties. for this reason an interval type-2 fuzzy controller is de...

this paper develops an automatic parking algorithm based on a fuzzy logic controller with the vehicle pose for the input and the steering angle for the output. in this way some feasible reference trajectory path have been introduced according to geometric and kinematic constraints and nonholonomic constraints to simulate motion path of car. also a novel method is used for parking space detectio...

In this paper, a new sensorless model reference adaptive method is used for direct control of active and reactive power of the doubly fed induction generator (DFIG). In order to estimate the rotor speed, a high frequency signal injection scheme is implemented. In this study, to improve the accuracy of speed estimation, two methods are suggested. First, the coefficients of proportional-integral ...

In order to realize the trajectory tracking control of six degrees of freedom parallel robot, the dynamics equation of six degrees of freedom parallel robot was established. The parallel robot has obvious nonlinear, uncertainty characteristics and external disturbance, so the sliding mode variable structure theory was introduced into the system control. A fuzzy support vector machines control s...

Objective: A Modified Shuffled Frog Leaping (MSFL) algorithm based Multi-stage Fuzzy (MSF) PID controller is proposed in this paper to solve the Load Frequency Control (LFC) problem in a deregulated environment. The power system LFC problems are caused by small load perturbations which continuously disturb the normal operation of power system. The objectives of LFC are to minimize the transient...

This paper introduces a new concept for designing a fuzzy logic based switching controller in order to control underactuated manipulators. The proposed controller employs elemental controllers, which are designed in advance. Parameters of both antecedent and consequent parts of a fuzzy indexer are optimized by using evolutionary computation, which is performed off-line. Design parameters of the...

This paper aims to develop multi-objective optimized control methods improve the performance of retrofitting building heating systems in reducing consumed energy as well providing comfortable temperature a multi-zone building. While researchers evaluate various controllers specific systems, comprehensive controller for existing buildings is less investigated. A case study approach with four-sto...

A way to automatically generate fuzzy controllers (FCs) that are optimized according to a merit figure is presented in this article. To achieve this task, a procedure based on hierarchical genetic algorithms (HGA) was developed. This procedure and the manner in which fuzzy controllers are codified into chromosomes is described. Resorting to this tool, several fuzzy controllers were constructed....

Autonomous robot navigation can support humans in many applications. Autonomous navigation is a difficult problem due to the variability of the surrounding world. Fuzzy logic system (F.S.) has features that make it an adequate tool for addressing this problem. The fuzzy rules are collected according to the given application. In this paper, the parameters of the control rules are evolved using a...

In this paper, the problem of minimum-time trajectory planning is studied for a three degrees-offreedom (3-DOF) planar manipulator using a hierarchical hybrid neuro-fuzzy system. A first preprocessing step involves two components. The first component is NeFIK (for Neuro-Fuzzy Inverse Kinematics), a neuro-fuzzy network designed to learn and solve the inverse kinematics problem. The second one is...