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Real Time Implementation of an Improved Hybrid Fuzzy Sliding Mode Observer Estimator

Sorin Mihai Radu, Elena-Roxana Tudoroiu, Wilhelm Kecs, Nicolae Ilias, Nicolae Tudoroiu
2017 Advances in Science, Technology and Engineering Systems  
For the same case study developed in the conference paper, more precisely a DC servomotor angular speed control system, we extend the proposed concept of sliding mode observer state estimator to a fuzzy  ...  The simulation results for the experimental setup show the effectiveness of the improved fuzzy version of sliding mode observer compared to the standard one, as well as its high accuracy and robustness  ...  The fuzzy if-then rules perform a nonlinear mapping from the input linguistic variables and to the output linguistic variable, as: = ( , ) (26) Fuzzy Logic and Inference System Description Block Fuzzy  ... 
doi:10.25046/aj020126 fatcat:sm5ybmqc7nc2xeuoc65o32bkae

Design of a Fuzzy Logic Sliding mode Model Following Controller for a Brushless DC Servomotor Drivers

Amir
2011 Energy Research Journal  
Problem statement: A brushless DC servomotor position control system using a fuzzy logic sliding mode model following controller or FLSMFC is presented.  ...  Approach: The FLSMFC structure consists of an integrator and variable structure system.  ...  Fuzzy logic control is derived from the fuzzy logic and fuzzy set theory that were introduced in 1965 by Professor Lotfi A. Zadeh of the University of California at Berkeley.  ... 
doi:10.3844/erjsp.2011.22.28 fatcat:hmdtmyy7hnez5oyo6jhkqsv4dq

Fuzzy precompensated PID controllers

Jong-Hwan Kim, Kwang-Choon Kim, E.K.P. Chong
1994 IEEE Transactions on Control Systems Technology  
In this paper, we propose a fuzzy logic-based precompensation approach for PID controllers.  ...  Our scheme is easily implemented in practice simply by adding a fuzzy precompensator to an existing PID controller.  ...  Advanced control schemes for controlling systems with nonsmooth nonlinearities include sliding mode and variable structure control 121-[4] and dithering [5] .  ... 
doi:10.1109/87.338660 fatcat:omqzfwjyzne43dkwm6sqdn4ot4

Control Of A Dc Servomotor Using Fuzzy Logic Sliding Mode Model Following Controller

Phongsak Phakamach
2009 Zenodo  
A DC servomotor position control system using a Fuzzy Logic Sliding mode Model Following Control or FLSMFC approach is presented.  ...  The FLSMFC structure consists of an integrator and variable structure system.  ...  DC servomotor control structure.  ... 
doi:10.5281/zenodo.1070474 fatcat:q6o4lk4mf5cshn6ig3hkq4lb5i

Servo-Motor Speed Control Using Fuzzy Logic Controller

EL Habeeb Babiker EL Habeeb, Mansour Babiker Idris
2016 IJIREEICE  
The paper presents design and implementation of the control algorithm, which is carried out by fuzzy logic controller.  ...  This paper discusses the position control of a servo-motor using fuzzy logic controller (FL). The structure and modeling of the servo motor is discussed in details.  ...  Figure (3):Fuzzy Logic Control Structure Developing a Fuzzy logic control and applying it to a control problem involves the following steps: 1. Fuzzification 2.  ... 
doi:10.17148/ijireeice.2016.41005 fatcat:7m4gio5p4fgijoft2kmgqgtcka

Using Motor Speed Profile and Genetic Algorithm to Optimize the Fuzzy Logic Controller for Controlling DC Servomotor

Thanh TrungNguyen, Takashi Komeda
2014 International Journal of Computer Applications  
The paper describes a new proposed algorithm to automatically tune a Fuzzy Logic Controller by using motor Speed profile and Genetic Algorithm (FLCSGA algorithm) in controlling a DC Servo Motor.  ...  In the new method, the tuning process of the Fuzzy Logic Controller (FLC) is divided into two consecutive stages which are tuning rule base and tuning Membership Functions (MFs).  ...  Fig. 1 : 1 Fig. 1: Structure of a Mamdani Fuzzy Logic rule base system. 1. i) Input Scaling or normalization: the current physical values of state variables i.e., which are often error (e) and change  ... 
doi:10.5120/16408-6076 fatcat:irxpdiduazbjnegwrhjbe26wpm

Fuzzy logic control on FPGA for two axes solar tracking

J. de la Cruz-Alejo, R. Antonio-Méndez, M. Salazar-Pereyra
2017 Neural computing & applications (Print)  
The fuzzy logic control is based according to Mamdani rules, alpha levels, max-min operations and defuzzification method.  ...  The feasibility and versatility of the proposed technique as well as its potential as a low-cost design for solar tracking control on digital field-programmable gate array (FPGA) are shown by simulated  ...  The output fuzzy variable or the control quantity also uses five fuzzy variables which are described by fuzzy linguistic control quantities Ax k (k = 1, 2, 3, 4, 5), partitioned on the control universe  ... 
doi:10.1007/s00521-017-3207-1 fatcat:yacjjra2nffvzp6vzumjqrxdci

Development of fuzzy-logic-based self tuning PI controller for servomotor

Oyas Wahyunggoro, Nordin B. Saad
2008 2008 10th International Conference on Control, Automation, Robotics and Vision  
theory to overcome the weakness of conventional controllers, and investigated by which owns good robustness (Yu et. al., 2004) .  ...  It has been demonstrated that defining the fuzzy rules for the fuzzy logic-based self-tuning PI/PID controller is a much simpler task than for fuzzy logic controller.  ...  Development of Fuzzy-Logic-Based Self Tuning PI Controller for Servomotor, Advanced Strategies for Robot Manipulators, S.  ... 
doi:10.1109/icarcv.2008.4795754 dblp:conf/icarcv/WahyunggoroS08 fatcat:jily7e65obhufblf3fftk5wphe

Development of Fuzzy-Logic-Based Self Tuning PI Controller for Servomotor [chapter]

Nordin Saad, Oyas Wahyunggoro
2010 Advanced Strategies for Robot Manipulators  
to fuzzy-logic-based self tuning PID controller, fuzzy logic controller, PID controller and PI controller on the DC servomotor system.  ...  theory to overcome the weakness of conventional controllers, and investigated by which owns good robustness (Yu et. al., 2004) .  ...  Development of Fuzzy-Logic-Based Self Tuning PI Controller for Servomotor, Advanced Strategies for Robot Manipulators, S.  ... 
doi:10.5772/10201 fatcat:nh2fp3wwszbdbd45gcjfvokniq

Speed Control of DC Servo Motor using Different Controllers

V. Rangavalli
2019 International Journal for Research in Applied Science and Engineering Technology  
In this paper a comparison among fuzzy logic controller, sliding model controller, Adaptive Neuro-Fuzzy Inference System (ANFIS) through MATLAB/Simulink software have been presented.  ...  In this paper a dc servo motor using MATLAB has been designed whose speed may be investigated using conventional controllers and FUZZY, SMC, ANFIS controllers are applied to control the speed of servomotor  ...  The interconnection of multiple single neurons to form an ANN is shown in figure 4.Neural network structure Figure9 Figure9.Simulation output of Fuzzy logic controller for dc servo motor Figure1.Block  ... 
doi:10.22214/ijraset.2019.4566 fatcat:dtygmxk4lrcvtb5y2yfeyzvzlm

Robust adaptive fuzzy control for permanent magnet synchronous servomotor drives

Yansheng Yang, Changjiu Zhou
2004 International Journal of Intelligent Systems  
A novel robust adaptive fuzzy control (RAFC) algorithm for the permanent magnet (PM) synchronous servomotor drives with uncertain nonlinearities and time-varying uncertainties is presented in this article  ...  Takagi-Sugeno-type fuzzy logic systems are used to approximate uncertain functions. The RAFC algorithm is designed by use of the input-to-state stability (ISS) approach and small gain theorem.  ...  ϩ d(1)ROBUST ADAPTIVE FUZZY CONTROL FOR PM SERVOMOTOR  ... 
doi:10.1002/int.20060 fatcat:2fgroxyrivgxbnad2g5zlywzda

A Neuro-Fuzzy Based Approach to Object Tracking and Motion Prediction

Engr. Simon Samuel, Engr. Ibrahim A. Usman, Engr. Baams Baamani Alfred
2017 International Journal of Science and Engineering Applications  
A Neuro-Fuzzy hybrid approach is used to design the fuzzy rule base of the intelligent system for control.  ...  Servo motors were used to perform high-precision positioning in azimuth and elevation directions, fuzzy logic is applied to control the position servo motors via feedback.  ...  The study is aimed at tracking object operating on a sequence of video images provided by camera through the application of Neuro-fuzzy logic system.  ... 
doi:10.7753/ijsea0610.1003 fatcat:cfqj3ghqtrb7vlym27lgcu4pnm

Governor design for hydropower plants by intelligent sliding mode variable structure control

2016 Journal of Artificial Intelligence and Data Mining  
For the chattering phenomenon of the sliding mode control, a fuzzy logic inference system is adopted. In the sense of Lyapunov, the asymptotical stability of the system can be guaranteed.  ...  This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system.  ...  The design of a fuzzy logic controller having one input and one output was proposed. The number of fuzzy control rules can be minimized since only one input variable s.  ... 
doi:10.5829/idosi.jaidm.2016.04.01.10 fatcat:saxr555ozrdxzhfeir5sf6lwxm

Fuzzy logic control of single-link flexible joint manipulator

Ismail H. Akyuz, Selcuk Kizir, Zafer Bingul
2011 2011 IEEE International Conference on Industrial Technology  
A cascade fuzzy logic controller (FLC) was used to remove link vibrations and to obtain fast trajectory tracking performance. The cascade FLC structure includes 3 different FLCs.  ...  In trajectory tracking experiments with the same FLC structure, small errors and phase shifts in the system variables occurred.  ...  Design of fuzzy logic controller In this section, the controller design of the flexible-joint robot arm is explained in detail. FLCs were implemented in the MATLAB r Fuzzy Logic Toolbox.  ... 
doi:10.1109/icit.2011.5754392 fatcat:6z2kg3tzr5fb7ijul25k3s233y

Load Frequency Control of Small Hydropower Plants Using One-Input Fuzzy PI Controller with Linear and Non-Linear Plant Model

Derek Ajesam Asoh, Edwin Nyuysever Mbinkar, Albert Nouck Moutlen
2022 Smart Grid and Renewable Energy  
A nonlinear control model based on one-input fuzzy logic PI (FLPI) controller was developed and applied to control the non-linear SHP.  ...  The approach which is based on fuzzy logic (FL), takes into account the non-linearity of SHPs-something which is not possible using traditional controllers.  ...  Seven linguistic variables were selected for the input and output of the fuzzy logic controller with corresponding values as depicted in Table 1 .  ... 
doi:10.4236/sgre.2022.131001 fatcat:6ibsxhaalbd3bftninbgvpznzi
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