Design and simulation of fuzzy controller based (IPM) converter fed DC Motors

2012 ◽  
Author(s):  
Abdallah A. Ahmed ◽  
Yuanqing Xia ◽  
Bo Liu
Keyword(s):  
Fuzzy Controller ◽  
Dc Motors

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.

scholarly journals Design of Hybrid Fuzzy-PI Controller for Sensorless Speed Control of Separately Excited DC Motor Drive

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1189-1192
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Pi Controller ◽  
Torque Control ◽  
Adaptive Observer ◽  
Motor Drive ◽  
Dc Motors ◽  
Wide Range ◽  
Fuzzy Pi Controller

Many industries use separately excited DC motors for torque control applications[1]. Because of its wide range of adjustment and easier control. Moreover, to test the novel control algorithms DC motor drive is used as system [2]. A sensor less control system is used in this paper to control its speed by using hybrid fuzzy PI Controller, and the speed of motor is estimated with the help of adaptive observer[4]. A Hybrid Fuzzy-PI Controller is proposed in this paper instead of a linear PI controller or Fuzzy Controller inroder improve the performance of motor[5]. Simulation results using MATLAB/SIMULINK shows that the Hybrid Fuzzy - PI control system performs well when compared with linear PI and Fuzzy controller technically

SYNTHESIS AND OPTIMIZATION OF FUZZY CONTROLLER FOR CONTROL SYSTEM OF FLOATING DOCK DRAFT

2016 ◽  
Vol 23 (99) ◽  
pp. 113-120
Author(s):  
Yuri P. Kondratenko ◽  
◽  
Alexey V. Korobko ◽  
Alexey V. Kozlov ◽  
Andrej N Topalov ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Controller
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