A mixed-signal fuzzy controller and its application to soft start of DC motors

2002 ◽  
Author(s):  
R. Navas-Gonzalez ◽  
F. Vidal-Verdu ◽  
A. Rodriguez-Vazquez
Keyword(s):  
Fuzzy Controller ◽  
Mixed Signal ◽  
Dc Motors ◽  
Soft Start

Fuzzy Logic Controller for Obstacle Avoidance of Mobile Robot

2019 ◽  
Vol 20 (1) ◽  
pp. 51-62
Author(s):  
Rajmeet Singh ◽  
Tarun Kumar Bera
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Dynamic Model ◽  
Obstacle Avoidance ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Bond Graph ◽  
Membership Functions ◽  
Current Position ◽  
Dc Motors

AbstractThis work describes design and implementation of a navigation and obstacle avoidance controller using fuzzy logic for four-wheel mobile robot. The main contribution of this paper can be summarized in the fact that single fuzzy logic controller can be used for navigation as well as obstacle avoidance (static, dynamic and both) for dynamic model of four-wheel mobile robot. The bond graph is used to develop the dynamic model of mobile robot and then it is converted into SIMULINK block by using ‘S-function’ directly from SYMBOLS Shakti bond graph software library. The four-wheel mobile robot used in this work is equipped with DC motors, three ultrasonic sensors to measure the distance from the obstacles and optical encoders to provide the current position and speed. The three input membership functions (distance from target, angle and distance from obstacles) and two output membership functions (left wheel voltage and right wheel voltage) are considered in fuzzy logic controller. One hundred and sixty-two sets of rules are considered for motion control of the mobile robot. The different case studies are considered and are simulated using MATLAB-SIMULINK software platform to evaluate the performance of the controller. Simulation results show the performances of the navigation and obstacle avoidance fuzzy controller in terms of minimum travelled path for various cases.

scholarly journals Speed Control of Brushless DC Motor Using Modified Genetic Algorithm Tuned Fuzzy Controller

2020 ◽  
pp. 54-64
Author(s):  
Ankit Rawat ◽  
Mohd Fazle Azeem
Keyword(s):  
Fuzzy Controller ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Motor Drive ◽  
Suitable Alternative ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Modified Genetic Algorithm ◽  
Starting Torque

In the last decade with increasing motor application domain, need towards usage of precisely controlled, noise free, highly efficient and high starting torque motors also increases, as a result dedicated applications has fascinated the researcher toward brushless DC motor. Brushless DC motors can act as suitable alternative to the traditional Brushed direct current motor, Induction Motor etc. This research paper inspects the ease and effectiveness of modified queen bee based GA tuned fuzzy controller and shows the performance of a proposed controller under diverse speed settings. A comparative study with conventional PI controller shows effectiveness of modified queen bee based GA Tuned Fuzzy controller, in terms of parameter like peak overshoot and settling time. MATLAB/SIMULINK Environment is used for optimization and modeling of Brushless DC motor drive.

Design of a Dc Motor Soft Start Based on AVR Microcontroller

2011 ◽  
Vol 55-57 ◽  
pp. 382-387 ◽  
Author(s):  
Li Xiao Zhang ◽  
De Lin Luo ◽  
Long Jiang Su ◽  
Da Cao ◽  
Zhi Feng Luo
Keyword(s):  
Motor Control ◽  
Small Volume ◽  
Dc Motor ◽  
Control Equipment ◽  
Dc Motors ◽  
Soft Start ◽  
Dc Motor Control ◽  
Good Repeatability ◽  
Avr Microcontroller ◽  
Control Principle

DC motors are important industrial products. Directly starting a DC motor will harm the motor and the dragged equipment. This article has designed a DC motor control equipment of soft starting, stopping and many protections functions resting on the DC motor control principle and PWM technology. The advantages of this equipment are starting the DC motor continuously and smoothly, low impact torque and impact current, easily controlled, good repeatability, and small volume.

A Mixed Signal Fuzzy Controller Using Current Mode Circuits

2004 ◽  
Vol 38 (2/3) ◽  
pp. 215-231 ◽  
Author(s):  
Simone Orcioni ◽  
Giorgio Biagetti ◽  
Massimo Conti
Keyword(s):  
Fuzzy Controller ◽  
Current Mode ◽  
Current Mode Circuits ◽  
Mixed Signal
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