1331 |
Research Title: Neuro-Fuzzy Controller of a Sensorless PM Motor Drive For Washing Machines
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: The trend towards the adoption of direct drive washing machines utilizing PM
motors is increasing due to the mechanical simplicity, high performance and
efficiency of the system. This work deals with design and performance of a
sensorless PM motor drive for washing machines. An implicit rotor position
detection unit which consists of groups of search coils are inserted into the
motor stator. A simple neuro-fuzzy controller has been used. The results
given in this paper demonstrate the capability of such a drive system in
washing machine applications where simplicity, reliability and stability are
more important issues.
Keywords: PM motors, Direct drive washing machines, Nero-fuzzy control, Neural
networks, Rotor position detection
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1332 |
Research Title: Neural-Network-Based Fuzzy Identifier: Design and Evaluation
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: This paper is concerned with the design and development
of a simple fuzzy system for modeling of ill-defined
dynamical systems. This system, which is represented as a
feed forward neural network, is able to incorporate
qualitative and quantitative information. Supervised
linear back propagation learning algorithm has been
applied to model a system through identifying the fuzzy
parameters. This adaptive fuzzy system is implemented as
an identifier of dynamical systems. The system
performance has been evaluated for different simulated
systems to demonstrate the application of the proposed
system to identify the dynamics of linear and nonlinear
time-invariant and time-variant systems.
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1333 |
Research Title: Modeling and Analysis of an On-line FMS Scheduler Colored Petri Nets
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract:
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1334 |
Research Title: Modeling an Interactive FMS Scheduler Using Colored Petri Nets
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: A new hierarchical model based on CPN for general FMS
scheduler is presented. The designed model is partitioned into
two levels to face the complexity of the manufacturing systems.
The first level in the model is the cell-level, which supervises the
jobs scheduling between cells. The second level is the machinelevel,
which supervises the scheduling of the manufacturing jobs
between machines inside the active cells. The goal of the model is
to interpret the output of the manufacturing route planner into
graphical representation and to achieve the sequencing,
dispatching and monitoring the real time execution of these
manufacturing plans. Also the proposed CPN model generates
feedback status to monitor the abnormal conditions. Sub CPN
priority structures are embedded in the main model to control the
election from the competitive jobs to use the limited resources in
the system. The hierarchy organization will enhance the real time
response of the sequencing and monitoring capabilities. The
designed scheduler has been evaluated for different case studies
and the achieved results are very encouraging.
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1335 |
Research Title: Mixed Reality Environment for Web-Based Laboratory Interactive Learning
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: This paper presents a web-based laboratory for distance learners by incorporating
simulation and hardware implementation into web-based e-learning systems. It
presents a development consisting of laboratory course through internet based on
mixed reality technique to setup, run and manipulate set of experiments. Each
experiment has been designed in a way that allows the learner to manipulate the
components and check if it works properly in order to achieve the experiment
objective. The proposed laboratory e-learning tool has web-based components
accessed by authorized users. Learners can acquire the necessary skills they need,
while learning the theory of the experiment and the basic characteristics of each
component used in the experiment. Finally, a case study was conducted to show the
feasibility and efficiency of the proposed method.
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1336 |
Research Title: Mixed Reality Environment for Web-Based Laboratory Interactive Learning
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: This paper presents a web-based laboratory for
distance learners by incorporating simulation and
hardware implementation into web-based e-learning
systems. It presents a development consisting of laboratory
course through internet based on mixed reality technique to
setup, run and manipulateset of experiments. Each
experiment has been designed in a way that allows the
learner to manipulate the components and check if it works
properly in order to achieve the experiment objective. The
proposed laboratory e-learning tool has web-based
components accessed by authorized users. Learners can
acquire the necessary skills they need, while learning the
theory of the experiment and the basic characteristics of
each component used in the experiment. Finally, a case
study was conducted to show the feasibility and efficiency
of the proposed method.
Keywords: Web-based learning, Online interactive learning, Mixed reality environment, Laboratory learning, Fuzzy logic, Learner modeling.
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1337 |
Research Title: Fuzzy-Based Decision Making
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: Several efforts have been made to develop computer-based learning
and training systems. However, computer animation alone will not
provide users with opportunities to obtain real-sense learning/training
and develop their skills. For that reason, there is a need to explore more
advanced technologies to improve learning and training. Virtual reality
has found a number of applications in learning and skills training.
Real educational processes deal with uncertainty in human
knowledge. Most of available educational systems use classical
methods to handle vague information in the knowledge representation
and decision making. Furthermore, fuzzy set theory incorporates
precise techniques for solving such problems. Fuzzy logic concepts
have been used in ESs for knowledge representation and reasoning.
Fuzzy logic is the most suitable tool to deal with vague knowledge
and the process of decision making in the educational system.
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1338 |
Research Title: Fuzzy logic control implementation in sensorless PM drive systems
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: The PM motor drive systems are becoming particularly popular in
many industrial applications. They have many of the desirable
performance characteristics of both the AC and DC drive
systems. In this paper, a fuzzy logic controller is proposed for the
real-time control of a Sensorless PM drive system. An implicit
detection method has been used to detect the rotor position and to
measure both the rotating speed and internal load angle. The
results given in this paper demonstrate the capability of such a
drive system in applications where simplicity, reliability and
stability are more important issues. Furthermore, the proposed
hardware and software design is simple and can be implemented
by a single-chip microcontroller for real-time applications.
Keywords: Sensorless drive systems, Rotor detection, Fuzzy logic control,
Intelligent systems, Real-time systems
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1339 |
Research Title: FPGA-Based Fuzzy Inference System for Real-time Embedded Applications
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: The traditional way of implementing algorithms in software limits the performance of
real-time systems, since the data is processed serially. The new generation of FPGAs with embedded
processors are attracting the interest of the real-time applications. With enhanced capabilities most of
the processing tasks can be loaded from the software program stack to embedded processors on the
FPGA to improve performance and reduce the cost of the whole system. A fuzzy inference system
has been implemented on an FPGA, and used to control a PM motor in a washing machine. The
given results demonstrate the capability of such embedded controller in washing machine
applications where simplicity, reliability and stability are more important issues.
Keywords: FPGA, Fuzzy logic, Fuzzy inference system, PM motor, Washing machine
|
1340 |
Research Title: FPGA Implementation of Fuzzy Inference System for Embedded Applications
Author: Kasim Mousa Al-Aubidy, Published Year: 0
Faculty: Engineering and Technology
Abstract: Implementing algorithms in software limits the performance of real-time systems, since
the data is processed serially. The new generation of FPGAs with embedded processors are
attracting the interest of the real-time applications. With enhanced capabilities most of the
processing tasks can be loaded from the software program stack to embedded processors on the
FPGA to improve performance and reduce the cost of the whole system. A fuzzy inference system
has been implemented on an FPGA, and used to control a PM motor in a washing machine. The
given results demonstrate the capability of such embedded controller in washing machine
applications where simplicity, reliability and stability are more important issues.
Keywords: FPGA, Fuzzy logic, Fuzzy inference system, PM motor, Washing machine
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