An undergraduate fuzzy logic control lab using a line following robot

İbrahim, Dogan; Alshanableh, Tayseer

doi:10.1002/cae.20347

Cited by 24 publications

(15 citation statements)

References 7 publications

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“…The same project, for instance, could be used in a more advanced teaching of IT degree, such as control processes, or machine learning. As an example, we could cite work [30], which designs a fuzzy rulebased system to guide the robot implemented into a PIC microcontroller.…”

Section: Project 3: Reactive Agents and Rule-based Systemsmentioning

confidence: 99%

Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers

Cuéllar

Pegalajar

2011

Comp Applic In Engineering

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ABSTRACT:We provide a set of projects to put in practice artificial intelligence techniques using LEGO Mindstorms in an undergraduate computer degree, covering reactive and deliberative agents, rule-based systems, graph search algorithms, and planning methods. The projects have been applied for teaching in a third-year undergraduate subject of a computer engineering degree at the University of Granada (Spain). After the contextualization and development of the projects, we discuss the results, advantages, and drawbacks of our experience. ß

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Section: Project 3: Reactive Agents and Rule-based Systemsmentioning

confidence: 99%

Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers

Cuéllar

Pegalajar

2011

Comp Applic In Engineering

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“…The path guiding robot equipped with two IR sensors for line following and one IR proximity sensor for hurdle detection on path is able to navigate along strips with different speeds and stops when vehicle approaches to obstacle. A low cost educational microcontroller based tool for fuzzy logic controlled line following robot is described by Ibrahim and Alshanableh [5] which is used in the second year of undergraduate teaching in an elective course in the department of computer engineering of the Near East University. The robot is named as Robo-PICA and is equipped with a pair of infrared reflectors mounted at the bottom and at both corners of the robot.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Reasoning System for Line Following Robot

Farooq¹,

Amar²,

Asad³

et al. 2014

IJET

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Abstract-This paper describes the design of fuzzy logic controller for a line following robot. The controller accepts inputs from two light sensors mounted underneath the robot and generates motion commands to keep the robot on track. The performance of the proposed controller is compared with simple on-off control and it is observed that fuzzy logic control is better choice owing to its smoothness in following the desired track and lesser amount of time taken in completing the track. The platform is ideal to study in real time the various fuzzy inference systems and hence can be utilized as laboratory course work for soft computing algorithms.Index Terms-Line following, fuzzy logic control, on-off control.

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“…According to Gao and Wang , practical training through the performing of experiments is absolutely necessary for highly practical engineering disciplines, such as hydraulic transmission and control. The importance of laboratory experiments for engineering courses is widely realized and studied by researchers for educational purposes .…”

Section: Introductionmentioning

confidence: 99%

PC‐based control and simulation of an electro‐hydraulic system

Topçu

2017

Comp Applic In Engineering

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This article addresses the development of a control system design methodology to make control courses easier to understand. The methodology can be handled in four stages: Modeling, controller design and tuning of the controller gains, simulation, and experimental studies. A PC‐based control system environment is chosen to help students/researchers understand the control system both theoretically and experimentally. An electro‐hydraulic system is used for training. Such fluid power systems are widely used in the industrial area and combine different engineering system properties. First, a system is defined by a mathematical model and simulated using the MATLAB/Simulink environment. An easy to use toolbox, Simscape/Simhydraulics, is used to facilitate the modeling phase in simulation of the hydraulic system. Next, the design of the feedback controller is proposed. Basic controllers in control education, such as proportional + derivative + integral (PID) and a Fuzzy Logic Controller (FLC), are utilized, and the gains of the controllers are tuned with a simplified method according to the given design criteria. The proposed tuning method can also be useful for overdamped or first‐order systems. Time and frequency responses of the system are obtained and evaluated. The experimental studies are conducted on a hydraulic control system at the Automatic Control Laboratory of the Mechanical Engineering Department of Uludağ University. This work aims to train engineering students/researchers both theoretically and practically regarding PC‐based control system design and fluid power systems.

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An undergraduate fuzzy logic control lab using a line following robot

Cited by 24 publications

References 7 publications

Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers

Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers

Fuzzy Logic Reasoning System for Line Following Robot

PC‐based control and simulation of an electro‐hydraulic system

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