scholarly journals Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2872 ◽  
Author(s):  
Mokhles M. Abdulghani ◽  
Kasim M. Al-Aubidy ◽  
Mohammed M. Ali ◽  
Qadri J. Hamarsheh
Keyword(s):  
Fuzzy Controller ◽  
Tracking System ◽  
Voice Recognition ◽  
Real Data ◽  
Communication Technologies ◽  
Real Time Control ◽  
Time Control ◽  
Smart Wheelchairs ◽  
Neuro Fuzzy ◽  
The Disabled

Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and implementation of a voice controlled electric wheelchair. This design is based on voice recognition algorithms to classify the required commands to drive the wheelchair. An adaptive neuro-fuzzy controller has been used to generate the required real-time control signals for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and a voice recognition classifier. The wheelchair is considered as a node in a wireless sensor network in order to track the position of the wheelchair and for supervisory control. The simulated and running experiments demonstrate that, by combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility.

The Management of Atm Networks Cell Multiplexing Using Neuro-Fuzzy Contrroller

2014 ◽  
Vol 7 (3) ◽  
pp. 25-44
Author(s):  
Nazhat S. Abdul-Razak ◽  
Omar A. Mohamad ◽  
Dina H. Shaker
Keyword(s):  
Flow Rate ◽  
Fuzzy Controller ◽  
Control Action ◽  
Real Time Control ◽  
Model Free ◽  
Time Control ◽  
Neuro Fuzzy ◽  
Fuzzy Neural ◽  
Input Variables ◽  
Flow Rate Control

In this research a fuzzy neural network is proposed so, fuzzy mechanism and adaptive neuro fuzzy mechanism are designed and simulated to control the (flow rate) control action on cell multiplexing in (ATM). The cell flow rate on the output of neural- fuzzy controller. Has been simulated depending on the input variables, one of these inputs is the queuing message (message length), the second one is the number of inputs, and third is the type of massage. These input variables are used to build the fuzzy rules uses (FNN) as its condition and the control action as its consequence, combines these rules to represent the model or system. NN is used as a training algorithm to learn the weights of fuzzy system. The simulation process has been executed by using (MATLAB). In the light of this research, it is apparent that NNS and fuzzy logic based systems can play an important role in the control of cell multiplexing in (ATM) network, since they can provide adaptive model free, real time control to the user.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

Design and Implementation of Neuro-Fuzzy Controller Using FPGA for Sun Tracking System

2016 ◽  
Vol 12 (2) ◽  
pp. 123-136 ◽  
Author(s):  
Ammar Aldair ◽  
Adel Obed ◽  
Ali Halihal
Keyword(s):  
Optical Sensors ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Tracking System ◽  
Maximum Power ◽  
Experimental Results ◽  
The Sun ◽  
Fixed Angle ◽  
Pv Panel ◽  
Neuro Fuzzy

Nowadays, renewable energy is being used increasingly because of the global warming and destruction of the environment. Therefore, the studies are concentrating on gain of maximum power from this energy such as the solar energy. A sun tracker is device which rotates a photovoltaic (PV) panel to the sun to get the maximum power. Disturbances which are originated by passing the clouds are one of great challenges in design of the controller in addition to the losses power due to energy consumption in the motors and lifetime limitation of the sun tracker. In this paper, the neuro-fuzzy controller has been designed and implemented using Field Programmable Gate Array (FPGA) board for dual axis sun tracker based on optical sensors to orient the PV panel by two linear actuators. The experimental results reveal that proposed controller is more robust than fuzzy logic controller and proportional-integral (PI) controller since it has been trained offline using Matlab tool box to overcome those disturbances. The proposed controller can track the sun trajectory effectively, where the experimental results reveal that dual axis sun tracker power can collect 50.6% more daily power than fixed angle panel. Whilst one axis sun tracker power can collect 39.4 % more daily power than fixed angle panel. Hence, dual axis sun tracker can collect 8 % more daily power than one axis sun tracker.

Optimal Design for Fuzzy Controller by Ant Colony Algorithm

2010 ◽  
Vol 439-440 ◽  
pp. 1190-1196 ◽  
Author(s):  
Bao Jiang Zhao
Keyword(s):  
Ant Colony Algorithm ◽  
Inverted Pendulum ◽  
Fuzzy Controller ◽  
Fuzzy Rule ◽  
Ant Colony ◽  
Fuzzy Rules ◽  
Real Time Control ◽  
Time Control ◽  
Information Updating ◽  
Fuzzy Logical

Fuzzy logical controller is one of the most important applications of fuzzy-rule-based system that models the human decision processing with a collection of fuzzy rules. In this paper, an adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of selection of the paths and the strategy of the trail information updating. The algorithm is used to design a fuzzy logical controller automatically for real-time control of an inverted pendulum. In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly. Experimental results show that the designed controller can control actual inverted pendulum successfully.

Design of Motion Control Card on PXI Bus

2012 ◽  
Vol 203 ◽  
pp. 449-453
Author(s):  
Xiao Kun Wang ◽  
Yu Bao Niu ◽  
Li Juan Zhang ◽  
Feng Feng ◽  
Ping Wang
Keyword(s):  
Motion Control ◽  
Data Transfer ◽  
Tracking System ◽  
High Rate ◽  
Real Time Control ◽  
Data Transfer Rate ◽  
Control Card ◽  
Time Control ◽  
Motion Control Card ◽  
Transceiver Module

The article introduces the design scheme of a motion control card on PXI bus. A detailed description of PCI interface module, FPGA module, DSP module, serial transceiver module and analog acquisition module is also given in this paper. Tests of data transfer rate between host and motion control card are adopted, the results suggest that the PXI local bus can get a high-rate communication. The motion control card is applied to control the two-dimensional turntable of an optoelectronic imaging and tracking system. The experiments indicate that the motion control card based on PXI can meet the requirements of real-time control. The performance of control is also acceptable.

Study on Two-Wheeled Self-Balancing Electric Vehicle Based on Fuzzy PD Control Algorithm

2014 ◽  
Vol 1056 ◽  
pp. 162-165
Author(s):  
Zheng Cai Yang ◽  
Bao Hua Wang
Keyword(s):  
Control System ◽  
Real Time ◽  
Electric Vehicle ◽  
Fuzzy Controller ◽  
System Structure ◽  
Structure Model ◽  
Pd Controller ◽  
Real Time Control ◽  
Time Control ◽  
Fuzzy Pd

A Two-Wheeled Self-Balancing Electric vehicle control system was developed base on the system design, hardware development and software strategies.The paper designed the posture acquisition module by gyroscopes and accelerometer sensors, and improved the control ccuracy using Calman filtering algorithm. Based on the system structure model, construction of Two-Wheeled Self-Balancing Electric vehicle dynamic equations by using the analysis method of Newtonian echanics was developed.A fuzzy PD controller was designed,the displacement and velocity as the input variable is controlled by fuzzy controller, and the tilt angle and angular velocity is controlled by PD controller. Finally, the platform of real-time control system was established for parameters adjustment and real-time control.Experiments show that the system has good robustness,high real-time response and has a higher market value.

scholarly journals PC Based Real Time Control of DC Motor

2018 ◽  
Vol 4 (2) ◽  
pp. 66
Author(s):  
Mohamad Fauzi Radsanjani ◽  
Dwi Astharini
Keyword(s):  
Real Time ◽  
Real Data ◽  
Dc Motor ◽  
Real Time Control ◽  
Matlab Simulink ◽  
Final Project ◽  
Time Control ◽  
Speed Sensor ◽  
And Control ◽  
Monitor And Control

<p><em>Abstract</em><strong> – This final project report present a Pc based real time control of DC motor. Real time control systems can be defined as a technology which is related to mechanical application, electronic, and computer-based systems. In general, the equipment that is often used for controlling speed system is Arduino Mega 2560, DC motor, motor driver IC L298N, speed sensor IC LM393, and voltage sensor. Software in the system I used Matlab Simulink to monitor and control the speed of dc motor will show real data, they are displayed in signal RPM and signal Voltage, Matlab Simulink is used program to let the operator operates the system well. This monitor and control system can improve the effectiveness and efficiency in various industrial fields.</strong></p><p><strong> </strong></p><p><strong><em>Keyword –</em></strong><strong> </strong><em>PC, Real Time, Control, DC Motor</em></p><p><em> </em></p>

Sign in / Sign up

Export Citation Format

Share Document