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A Novel Switching Tables of Twelve Sectors DTC for Induction Machine Drive Using Artificial Neural Networks
Issue:
Volume 7, Issue 1, February 2019
Pages:
1-8
Received:
23 February 2019
Accepted:
1 April 2019
Published:
26 April 2019
Abstract: The direct torque control (DTC) is one of the actively researched control schemes of induction machines (IMs), which is based on the decoupled control of stator flux and electromagnetic torque. The traditional twelve sectors DTC control scheme of IM drive using hysteresis comparators and switching table has considerable electromagnetic torque ripple, stator flux ripple and harmonic distortion of voltage/current for IM drive. In order to ensure a robust twelve sectors DTC control scheme and minimize the harmonic distortion of stator current, a novel switching tables of twelve sectors DTC control scheme with the application of the artificial intelligence technique (artificial neural networks (ANNs)). The electromagnetic torque, stator flux and harmonic distortion of stator current are determined and compared with the traditional twelve sectors DTC control scheme. The simulation of the proposed switching tables were carried out in Matlab/Simulink software. A comparative study of the proposed switching tables is also presented to illustrate the merits of each of the switching table on the performance of the twelve sectors DTC control scheme.
Abstract: The direct torque control (DTC) is one of the actively researched control schemes of induction machines (IMs), which is based on the decoupled control of stator flux and electromagnetic torque. The traditional twelve sectors DTC control scheme of IM drive using hysteresis comparators and switching table has considerable electromagnetic torque rippl...
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Linearization of Anti-Tank Guided Missile
Mohamed Abdallah Mohamed,
Ahmed Nasr Ouda,
Bahaaeldin Gamal Abdelaty,
Ahmed Hassan
Issue:
Volume 7, Issue 1, February 2019
Pages:
9-17
Received:
25 February 2019
Accepted:
11 April 2019
Published:
17 May 2019
Abstract: Anti-tank surface to surface guided missile systems are considered to be one of the most powerful weapons in the modern war. Due to their effectiveness against either fortifications or tanks in addition to their relative low weight, they are deployed in the field easily. One of the most challenges the engineers face while designing a guided missile is the autopilot design. The autopilot loop or the inner loop of the missile should steer the missile during its spatial flight till hitting the target even it is moving or stationary. A higher maneuver target was hit by the missile, the more reliable autopilot you design. On designing a mature autopilot, a promising mathematical model of the missile should be in hand and mathematical linearized model should be derived. This paper presents a mathematical representation of an anti-tank guided missile the mathematical linearized model as well so that the design of the missile autopilot is presented in the future work.
Abstract: Anti-tank surface to surface guided missile systems are considered to be one of the most powerful weapons in the modern war. Due to their effectiveness against either fortifications or tanks in addition to their relative low weight, they are deployed in the field easily. One of the most challenges the engineers face while designing a guided missile...
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Visual Positioning and Grasping Application of Industrial Robot for Casting Parts
Guoyang Wan,
Fudong Li,
Guofeng Wang
Issue:
Volume 7, Issue 1, February 2019
Pages:
18-24
Received:
13 March 2019
Published:
23 May 2019
Abstract: In order to guide an industrial robot to pick a rough casting object, a visual servoing system have been designed to perform the task. This solution present an efficient method to perform robot and vision system’s hand eye calibration. Shape matching method is used to find a rough casting object, by combining Line2d algorithm and ROI selection. This vision system can find rough objects with high computational speed and it is robust to environmental noise. The experiment shows that the system repeatability is within 2mm and verify the feasibility of the method and robustness of the algorithm.
Abstract: In order to guide an industrial robot to pick a rough casting object, a visual servoing system have been designed to perform the task. This solution present an efficient method to perform robot and vision system’s hand eye calibration. Shape matching method is used to find a rough casting object, by combining Line2d algorithm and ROI selection. Thi...
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Block Chain Based Intelligent Industrial Network (BCIIN)
Barco You,
Matthias Hub,
Ivan Uemlianin
Issue:
Volume 7, Issue 1, February 2019
Pages:
25-38
Received:
16 February 2019
Accepted:
16 April 2019
Published:
26 May 2019
Abstract: The manufacturing industry featured centralization in the past due to technical limitations, and factories (especially large manufacturers) gathered almost all of the resources for manufacturing, including: technologies, raw materials, equipment, workers, market information, etc. However, such centralized production is costly, inefficient and inflexible, and difficult to respond to rapidly changing, diverse and personalized user needs. This paper introduces an Intelligent Industrial Network (BCIIN), which provides a fully distributed manufacturing network where everyone can participate in manufacturing due to decentralization and no intermediate links, allowing them to quickly get the products or services they want and also to be authorized, recognized and get returns in a low-cost way due to their efforts (such as providing creative ideas, designs or equipment, raw materials or physical strength). BCIIN is a blockchain based IoT and AI technology platform, and also an IoT based intelligent service standard. Due to the intelligent network formed by BCIIN, the manufacturing center is no longer a factory, and actually there are no manufacturing centers. BCIIN provides a multi-participation peer-to-peer network for people and things (including raw materials, equipment, finished / semi-finished products, etc.). The information transmitted through the network is called Intelligent Service Algorithm (ISA). The user can send a process model, formula or control parameter to a device via an ISA, and every transaction in BCIIN is an intelligent service defined by ISA.
Abstract: The manufacturing industry featured centralization in the past due to technical limitations, and factories (especially large manufacturers) gathered almost all of the resources for manufacturing, including: technologies, raw materials, equipment, workers, market information, etc. However, such centralized production is costly, inefficient and infle...
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System Modeling and Controller Design for Lateral and Longitudinal Motion of F-16
Waqas Ahmed,
Zhongjian Li,
Hamid Maqsood,
Bilal Anwar
Issue:
Volume 7, Issue 1, February 2019
Pages:
39-45
Received:
15 April 2019
Published:
15 June 2019
Abstract: Classical control laws are still widely used in aviation industry because of their good structural understanding, simplicity, and better tracking control performance. However in recent decades the application of such controllers are getting substantial interest of researchers. This paper addresses controller design method for longitudinal and lateral motion autopilots of F-16. Aircraft complete mathematical model was obtained using Newton-Euler formulism. The non-linear model was linearized around equilibrium points at certain trim conditions to obtain state space model of the system. Comparative analysis of two linear controllers, Proportional-Integral-Derivative (PID) and Linear-Quadratic-Regulator (LQR) is investigated and control algorithm is proposed. Both the control schemes use feedback control laws and a careful selection of tuning parameters for controllers is carried out to track the desired input reference. Effectiveness of both controllers is illustrated with the help Matlab/Simulink figures and results.
Abstract: Classical control laws are still widely used in aviation industry because of their good structural understanding, simplicity, and better tracking control performance. However in recent decades the application of such controllers are getting substantial interest of researchers. This paper addresses controller design method for longitudinal and later...
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Signs and Pedestrian Safety in Automated Transportation Systems
Haiyan Xie,
Luke Verplaetse
Issue:
Volume 7, Issue 1, February 2019
Pages:
46-53
Received:
18 April 2019
Published:
15 June 2019
Abstract: Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with higher signage and pedestrian signals had less likely of a chance for pedestrians to run into an altercation when compared to intersections with just crosswalks and no pedestrian signals. This research presents an optimization framework and an analytical solution with field observations to study whether the implementation of more pedestrian signals could have a great effect on vehicle/pedestrian incidents. The research implements the integrated methods of case studies, modeling and simulation using mathematical and statistical software on correlations and probabilities. This study adds minimal interference to the observations as they naturally occur. The study setting is non-contrived and maintained as natural environment. The collected data is continuous time series and measured using Chi-Square for analysis. After the identification of possible interactions between CAVs and pedestrians based on the data surveyed around the Illinois State University (ISU), this study finds that the safety of pedestrian relies on the intersection design of signs and signals more than the intelligence of CAVs (significance level = 95%). This paper also discusses law enforcement and autonomous driving as a means of lowering pedestrian incidents at intersections. The developed mathematical analysis model and simulations help to verify the influences of transportation signs and intersection designs. The investigation innovatively demonstrates the feasibilities of different methods to protect the pedestrian safety while they enter intersections. The findings from this research can provide decision support for future transportation design and implementation rules of CAVs.
Abstract: Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with...
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