scholarly journals Simulation of Eye Tracking Control based Electric Wheelchair Construction by Image Segmentation Algorithm

2021 ◽  
Vol 3 (1) ◽  
pp. 21-35
Author(s):  
Hadish Habte Tesfamikael ◽  
Adam Fray ◽  
Israel Mengsteab ◽  
Adonay Semere ◽  
Zebib Amanuel
Keyword(s):  
Edge Detection ◽  
Response Time ◽  
Eye Tracking ◽  
System Performance ◽  
Pid Controller ◽  
Dc Motor ◽  
System Response ◽  
Electric Wheelchair ◽  
Research Article ◽  
Validation Parameters

In this fast-paced world, it is very challenging for the elderly and disabled population to move independently to their desire places at any convenient time. Fortunately, some of the people have good eyesight and physically strong to take care of their survival. Nevertheless, Electric wheelchair (EWC) can provide them a better lifestyle with commendable confidence. At the same time, the hand, head and voice recognition-based EWC meet many limitations. Despite, the eye-tracking-based EWC provides a better smartness in their lifestyle. This research article discusses better accuracy achievement and minimizes the delay response time in the proposed system. The proposed eye-tracking EWC is differed from another existing system with good validation parameters of the controller and it introduces edge detection to identify the eye pupil position in the face. The proposed method includes a PID controller to control the DC motor, which in turn controls the rotation of wheel in EWC. This research article is mainly focused on the cost-effectiveness and improvement in the system performance. The display system is mounted in front of the sitting position of EWC users. The camera captures eye pupil position and it determines the direction of the EWC movement by controlling DC motor with the help of a PID controller. When derivative (D) control is used in the proposed system, the system response is quite faster and it reduces the delay time between the user and system reaction. This pupil of eye position is determined by a canny edge detector, which provides good results when compared with other edge detection approaches. Object detection in front of the EWC is an added advantage of the proposed system. The proposed article integrates all the activities and measures the system performance. The proposed model achieves an accuracy of about 90% and response time is least compared with the existing methods.

scholarly journals PID-Based Design of DC Motor Speed Control

2021 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Irfan Irhamni ◽  
Riries Rulaningtyas ◽  
Riky Tri Yunardi
Keyword(s):  
Transient Response ◽  
Pid Controller ◽  
Speed Control ◽  
Dc Motor ◽  
System Response ◽  
Motor Speed ◽  
Proportional Integral ◽  
Response Data ◽  
Dc Motors

DC motor is an easy-to-apply motor but has inconsistent speed due to the existing load. PID (Proportional Integral Differential) is one of the standard controllers of DC motors. This study aimed to know the PID controller's performance in controlling the speed of a DC motor. The results showed that the PID controller could improve the error and transient response of the system response generated from DC motor speed control. Based on the obtained system response data from testing and tuning the PID parameters in controlling the speed of a DC motor, the PID controller parameters can affect the rate of a DC motor on the setpoint of 500, 1000, 1500: Kp = 0.05, Ki = 0.0198, Kd = 0.05.

scholarly journals Optimally Tuned PID Controller of A DC Motor System using Bacterial Foraging Algorithm

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Rashid Alzuabi
Keyword(s):  
Pid Controller ◽  
Motor System ◽  
Dc Motor ◽  
System Response ◽  
Proportional Integral Derivative ◽  
Close Loop System ◽  
System Description ◽  
Proportional Integral Derivative Controller ◽  
Bacterial Foraging ◽  
Bacterial Foraging Algorithm

This paper presents an exercise in applying the bacterial foraging algorithm (BFA) optimisation method on a proportional—integral-derivative controller (PID) of a DC motor circuit. The paper presents the system description of the DC motor transfer function and the simulation of the close loop system using MATLAB. The BFA algorithm is described and discussed with the simulation results presented to illustrate the enhancement of the system response that in result enhances the operation of the DC motor system.

scholarly journals Construction of Mathematical Model of DC Servo Motor Mechanism with PID controller for Electric Wheel Chair Arrangement

2021 ◽  
Vol 3 (1) ◽  
pp. 49-60
Author(s):  
Hadish Habte Tesfamikael ◽  
Adam Fray ◽  
Israel Mengsteab ◽  
Adonay Semere ◽  
Zebib Amanuel
Keyword(s):  
Mathematical Model ◽  
Response Time ◽  
Dc Motor ◽  
Loop Control ◽  
Electric Wheelchair ◽  
Dc Motors ◽  
Proposed Model ◽  
Medium Level ◽  
Wheel Chair ◽  
Smart Wheelchair

Low-level and medium-level leg injury patients can be operated wheelchair independently in the clinical region. The construction of an electric wheelchair is one of the solutions to operate electric wheelchair by the patients themselves. The motor is an essential part of an electrical wheelchair for driving from one place to another place. The response of the system is very important for the optimization of the system. The existing methods fail in gradual sensitivity during motion and lack of response time to the user. This article is consist of a design for optimizing the existing DC motor transfer function for the smart wheelchair. The perfect angular tuning of the derivative controller provides a better executing time for our proposed model. The smoother responses from the smart wheelchair are obtaining by the dynamic response of closed-loop control. The design of DC motors is to drive smart wheelchair as per the needs. Besides, the construction of a mathematical model for proposing a system involves the DC motor drive to the smart wheelchair arrangement. The proposed model gives independent mobility of smart wheelchair with less response time and better sensitivity. Here, the mathematical model provides the details of immediate response to the user and less execution time of the complex system process. Finally, the authors discussed future improvements to the current DC motor design in the proposed system.

scholarly journals Internet of things and its applications

2018 ◽  
Vol 7 (2.7) ◽  
pp. 422
Author(s):  
Y Shanmukha Sai ◽  
K Kiran Kumar
Keyword(s):  
Internet Of Things ◽  
Response Time ◽  
System Performance ◽  
System Response ◽  
Normal System

IOT is creating impeccable things by improving the performance of system in the field of communications in many technical applications in expedite manner and taken the system performance to next level. implementing IOT in today's world out do's the response time of the system to the normal system response in R&D applications. this paper depicts the challenges and the problems in various domains and gave the solution by imbibing IOT Technology by standardizing the system processes to meet the industrial as well as domestic needs. 

scholarly journals Tuning PID Controller Parameters to avoid the Effect of Integrator Wind-up by using The Experimental-based Heuristic Approach

2019 ◽  
Vol 8 (5C) ◽  
pp. 945-953
Keyword(s):  
Pid Controller ◽  
Dc Motor ◽  
Heuristic Approach ◽  
System Response ◽  
Motor Shaft ◽  
Vector Quantity ◽  
Response Performance ◽  
Omni Wheel ◽  
Set Of Points ◽  
And Robotics

Dc motor is widely used as actuator in industry and robotics. In this experiment a dc motor is used as an Omni wheel actuator on Omni-directional 3WD robot. In order for the movement of the robot to follow the specified vector quantity, then the speed of the wheels connected in each motor shaft must persist at each set of points that have been determined. For these needs then, every dc motor must be controlled the number of revolutions. One of the problems with implementing a PID controller is the possibility of a wind-up integrator effect that causes the system to be unable to follow the command behavior. The purpose of this study was to obtain PID controller parameters in such a way as to avoid the effects of wind-up integrators and achieve the best system response performance using an experimental based heuristic approach. The results of this study show that the wheel spin is able to follow various reference speeds with settling time and steady state error at about 1.1s and 0.648%

Optimization Design of Permanent-Magnetism Brushless DC Motor Governing System Based on Artificial Fish Swarm Algorithm

2012 ◽  
Vol 546-547 ◽  
pp. 278-283
Author(s):  
Jun Lin Zhu ◽  
Hui Liu ◽  
Zhi Bin Ren
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Fitness Function ◽  
Dc Motor ◽  
System Response ◽  
Brushless Dc Motor ◽  
Artificial Fish Swarm Algorithm ◽  
Brushless Dc ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

The optimal design approach of the PID controller was proposed in this paper, based on Artificial Fish Swarm Algorithm (AFSA) for the matter of the optimization of the brushless DC motor controller. In the experiment, through the analysis of the basic principles of artificial fish swarm algorithm, appropriate performance index was selected as fitness function, specific design procedures were given to optimize parameters of PID controller, The experimental results indicate that: Artificial Fish Swarm Algorithm optimized PID controller enables the brushless DC motor speed control system response faster, small overshoot, effectively improve the dynamic performance of a brushless DC motor control system.

scholarly journals A response time reduction for DC motor controller using SISO technique

2020 ◽  
Vol 17 (2) ◽  
pp. 895
Author(s):  
Falih S. M. Alkhafaji ◽  
W. Z. Wan Hasan ◽  
M. M. Isa ◽  
N. Sulaiman
Keyword(s):  
Response Time ◽  
Pid Controller ◽  
Optimization Technique ◽  
Dc Motor ◽  
Peak Time ◽  
The Novel ◽  
Motor Controller ◽  
Comparison Results ◽  
Tuning Methods ◽  
The Comparative Study

<p>In an industrial controller, over five decades there are many attempts had been proposed to improve a method of tuning proportional gains of PID controller. Where in the review there is a very little attention have been paid to use satisfactory tuning to get maximum performance. This paper proposes an alternative solution to maximize optimization for a controller-based DC motor. The novel methodology relies on merge proper tuning with optimization using SISO-Optimization technique-based tune ). The comparative study has been done by utilizing classical tuning methods Z N, SIMC, CHR, and AMIGO, to obtain suitable tuning to be joined with . The proposed PID controller was examined in term of response time characteristics. This strategy provides a superior reduction in peak overshoot Pos, dead time td, rise time tr, settling time ts, and peak time tp, that could be utilized to improve the responses of a DC motor controller. Based on comparison results, it was founded that a CHR based SISO_optimization  playing a superior role over others in term of Pos 0%, td 0.1811µsec., tr 17.2 µsec, ts30.7 µsec, tp 80 µsec, and the number of iterations iter No 9.Ultimatly,this work overcome the majority of previouse work that related with this approach.</p>

scholarly journals Optimal PID controller of a brushless dc motor using genetic algorithm

2019 ◽  
Vol 10 (2) ◽  
pp. 822 ◽  
Author(s):  
Muhammed A. Ibrahim ◽  
Ausama Kh. Mahmood ◽  
Nashwan Saleh Sultan
Keyword(s):  
Genetic Algorithm ◽  
System Performance ◽  
Pid Controller ◽  
Controller Design ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Error Criterion ◽  
Brushless Dc

Brushless DC (BLDC) motor is commonly employed for many industrial applications due to their high torque and efficiency. This article produces an optimal designed controller of Brushless DC motor speed control depending on the genetic algorithm (GA). The optimization method is used for searching of the ideal Proportional–Integral-Derivative (PID) factors. The controller design methods of brushless DC motor includes three kinds: trial and error PID design, auto-tuning PID design and genetic algorithm based controller design. A PID controller is utilizing by conducted Integral absolute error criterion (IAE) and integral squared error (ISE) error criterion for BLDC motor control system. A GA-PID controller is designed to enhance the system performance by means of genetic algorithm. PID controller coefficients are calculated by GA to produce optimal PID as  hybrid PID with GA controller .The closed loop speed response of PID controller is experimented  for IAE and ISE error criteria. The suggested controller GA_PID is planned, modeled and simulated by MATLAB/ software program. A comparison output system performance monitored for every controller schemes. The results display that the time characteristics performance of GA-PID controller based on ISE objective function has the optimal performance (rise time, settling time, percentage overshoot) with other techniques.

scholarly journals PSO Fined-tuned Model-Free PID Controller with Derivative Filter for Buck-Converter Driven DC Motor

2019 ◽  
Vol 8 (3S) ◽  
pp. 1-5
Keyword(s):  
Angular Velocity ◽  
Duty Cycle ◽  
Pid Controller ◽  
Dc Motor ◽  
Buck Converter ◽  
Time Response ◽  
System Response ◽  
Tuning Method ◽  
Model Free ◽  
Derivative Filter

Traditionally, the PID controller parameters are tuned heuristically based on time response behavior of the system. This method is tiresome job and can cause undesirable system response. Therefore, this research suggests the tuning method of a model-free PID controller with derivative filter (PIDF) by implementing Particle Swarm Optimization (PSO). This tuning method is applied to buck-converter driven DC motor control. The speed of DC motor is controlled by PIDF controller. The parameters of PIDF controller are fine-tuned by implementing PSO algorithms. The fitness functions of the algorithm are evaluated based on Sum Square Error (SSE) and Sum Absolute Error (SAE). The state-space representation of buck-converter/DC motor is considered to confirm the design of the control method. The results of the proposed tuning method are compared with PI controller and PIDF controller tuned by PID Tuner Simulink. The time response specifications of angular velocity, armature current and duty cycle input energy are considered as a control scheme performance. Finally, the suggested tuning technique promises a very minimum duty cycle energy and a fast input tracking of DC motor angular velocity.

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