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Articles 1 - 15 of 15

Full-Text Articles in Engineering

A Bibliometric Perspective Survey Of Iot Controlled Ai Based Swarm Robots, Rhea Sawant, Ariz Shaikh, Chetna Singh, Aman Aggarwal, Shivali Amit Wagle, Harikrishnan R, Priti Shahane May 2021

A Bibliometric Perspective Survey Of Iot Controlled Ai Based Swarm Robots, Rhea Sawant, Ariz Shaikh, Chetna Singh, Aman Aggarwal, Shivali Amit Wagle, Harikrishnan R, Priti Shahane

Library Philosophy and Practice (e-journal)

Robotics is the ­new-age domain of technology that deals with bringing a collaboration of all disciplines of sciences and engineering to create a mechanical machine that may or may not work entirely independently but definitely focuses on making human lives much easier. It has repeatedly shown its ability to change lives at home and in the industry. As the field of robotics research grows and reaches new worlds, the military is one area where advances can have a significant impact, and the government is aware of this. Military technology has come a long way from the days where soldiers had ...


Artificial Intelligence And Game Theory Controlled Autonomous Uav Swarms, Janusz Kusyk, M. Umit Uyar, Kelvin Ma, Eltan Samoylov, Ricardo Valdez, Joseph Plishka, Sagor E. Hoque, Giorgio Bertoli, Jefrey Boksiner Jul 2020

Artificial Intelligence And Game Theory Controlled Autonomous Uav Swarms, Janusz Kusyk, M. Umit Uyar, Kelvin Ma, Eltan Samoylov, Ricardo Valdez, Joseph Plishka, Sagor E. Hoque, Giorgio Bertoli, Jefrey Boksiner

Publications and Research

Autonomous unmanned aerial vehicles (UAVs) operating as a swarm can be deployed in austere environments, where cyber electromagnetic activities often require speedy and dynamic adjustments to swarm operations. Use of central controllers, UAV synchronization mechanisms or pre-planned set of actions to control a swarm in such deployments would hinder its ability to deliver expected services. We introduce artificial intelligence and game theory based flight control algorithms to be run by each autonomous UAV to determine its actions in near real-time, while relying only on local spatial, temporal and electromagnetic (EM) information. Each UAV using our flight control algorithms positions itself ...


Quadrotor Swarm Arena (Quasar) Development Of A Swarm Control Testbed, Shane T. Stebler, William Mackunis Aug 2018

Quadrotor Swarm Arena (Quasar) Development Of A Swarm Control Testbed, Shane T. Stebler, William Mackunis

Beyond: Undergraduate Research Journal

Swarm control systems are increasingly popular in the robotics industry and academia due to their many potential applications. The goal of the Quadrotor Swarm Arena (QuaSAr) project is to construct a quadrotor swarm control testbed to provide researchers with the tools needed to experimentally investigate this emerging science. This testbed is equipped with a motion capture system, test control station, and numerous quadrotor UAVs. MATLAB-Simulink is utilized for control law development, data processing, and test control. This configuration allows researchers to test developing control law in a 'plug and play' manner as control development and test control are all completed ...


Exploring Commercial Counter-Uas Operations: A Case Study Of The 2017 Dominican Republic Festival Presidente, Ryan J. Wallace, Jon M. Loffi, Michael Quiroga, Carlos Quiroga Apr 2018

Exploring Commercial Counter-Uas Operations: A Case Study Of The 2017 Dominican Republic Festival Presidente, Ryan J. Wallace, Jon M. Loffi, Michael Quiroga, Carlos Quiroga

International Journal of Aviation, Aeronautics, and Aerospace

The proliferation of commercial off-the-shelf unmanned aircraft technology has resulted in a growing number of illicit or hazardous UAS activities, highlighting the growing need for effective counter-UAS mitigations. The purpose of this exploratory research is to develop a better understanding of the existing tactics, techniques, procedures involved in counter-UAS operations. Using a critical paradigm approach, the authors conducted a qualitative, unstructured interview with counter-UAS professionals. The authors sought to identify mission planning considerations, counter-UAS engagement tasks, and unanticipated conditions associated with performing a commercial [non-military] counter-UAS mission. The authors codified 11 key mission planning tasks and a 22-step engagement process ...


Data-Intensive Service Provision Based On Particle Swarm Optimization, Lijuan Wang, Jun Shen Jan 2018

Data-Intensive Service Provision Based On Particle Swarm Optimization, Lijuan Wang, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

The data-intensive service provision is characterized by the large of scale of services and data and also the high-dimensions of QoS. However, most of the existing works failed to take into account the characteristics of data-intensive services and the effect of the big data sets on the whole performance of service provision. There are many new challenges for service provision, especially in terms of autonomy, scalability, adaptability, and robustness. In this paper, we will propose a discrete particle swarm optimization algorithm to resolve the data-intensive service provision problem. To evaluate the proposed algorithm, we compared it with an ant colony ...


Design And Control Of A Dynamic And Autonomous Trackless Vehicle Using Onboard And Environmental Sensors, Scott R. Jagolinzer Mar 2017

Design And Control Of A Dynamic And Autonomous Trackless Vehicle Using Onboard And Environmental Sensors, Scott R. Jagolinzer

FIU Electronic Theses and Dissertations

The purpose of this thesis is to explore the current state of automated guided vehicles (AGVs), sensors available for the vehicles to be equipped with, control systems for the vehicles to run on, and wireless technology to connect the whole system together. With a technological push towards increasing automation and maximizing the possible throughput of systems, automated technology needs to improve for trackless and wireless systems such as vehicles that can be used to move loads in a vast array of applications.

The goal of this research is to develop and propose improvements in both vehicle and control system design ...


Optimization Of System Reliability Using Chaos-Embedded Self-Organizing Hierarchical Particle Swarm Optimization, M Bachlaus, N Shukla, M Tiwari, R Shankar Apr 2015

Optimization Of System Reliability Using Chaos-Embedded Self-Organizing Hierarchical Particle Swarm Optimization, M Bachlaus, N Shukla, M Tiwari, R Shankar

Nagesh Shukla

This paper addresses a reliability optimization problem, where the motive is to select the best components for series and series-parallel systems such that system reliability becomes maximized while simultaneously minimizing the cost, weight, and volume. Previous formulation of the problem has implicit restrictions, i.e. it either maximizes system reliability or minimizes the cost. Thus, in order to give a realistic view to the model, a comprehensive objective function has been formulated by combining the normalized values of reliability, cost, weight, and volume. In this paper, a chaos-embedded hierarchical particle swarm optimization (CE-HPSO) algorithm has been proposed to solve the ...


Direct Power Control Of Dfig Based Wind Turbine Based On Wind Speed Estimation And Particle Swarm Optimization, Mehrdad Tarafdar Hagh, S Roozbehani, F Najaty, S Ghaemi, Yingjie Tan, Kashem M. Muttaqi Jan 2015

Direct Power Control Of Dfig Based Wind Turbine Based On Wind Speed Estimation And Particle Swarm Optimization, Mehrdad Tarafdar Hagh, S Roozbehani, F Najaty, S Ghaemi, Yingjie Tan, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a direct power control (DPC) design of a grid connected doubly fed induction generator (DFIG) based wind turbine system in order to track maximum absorbable power in different wind speeds. A generalized regression neural network (GRNN) is used to estimate wind speed and thereby the maximum absorbable power is determined online as a function of wind speed. Finally the proposed DPC strategy employs a nonlinear robust sliding mode control (SMC) scheme to calculate the required rotor control voltage directly. The concept of sliding mode control is incorporated into particle swarm optimization (PSO) to determine inertial weights. The ...


Robot Localization Obtained By Using Inertial Measurements, Computer Vision, And Wireless Ranging, William Baker Jan 2015

Robot Localization Obtained By Using Inertial Measurements, Computer Vision, And Wireless Ranging, William Baker

Graduate College Dissertations and Theses

Robots have long been used for completing tasks that are too difficult, dangerous, or distant to be accomplished by humans. In many cases, these robots are highly specialized platforms - often expensive and capable of completing every task related to a mission's objective. An alternative approach is to use multiple platforms, each less capable in terms of number of tasks and thus significantly less complex and less costly. With advancements in embedded computing and wireless communications, multiple such platforms have been shown to work together to accomplish mission objectives. In the extreme, collections of very simple robots have demonstrated emergent ...


Control Of Conducting Polymer Actuators Without Physical Feedback: Simulated Feedback Control Approach With Particle Swarm Optimization, Xingcan Xiang, Rahim Mutlu, Gursel Alici, Weihua Li Jan 2014

Control Of Conducting Polymer Actuators Without Physical Feedback: Simulated Feedback Control Approach With Particle Swarm Optimization, Xingcan Xiang, Rahim Mutlu, Gursel Alici, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part A

Conducting polymer actuators have shown significant potential in articulating micro instruments, manipulation devices, and robotics. However, implementing a feedback control strategy to enhance their positioning ability and accuracy in any application requires a feedback sensor, which is extremely large in size compared to the size of the actuators. Therefore, this paper proposes a new sensorless control scheme without the use of a position feedback sensor. With the help of the system identification technique and particle swarm optimization, the control scheme, which we call the simulated feedback control system, showed a satisfactory command tracking performance for the conducting polymer actuator's ...


Distribution Expansion Planning Considering Reliability And Security Of Energy Using Modified Pso (Particle Swarm Optimization) Algorithm, Jamshid Aghaei, Kashem M. Muttaqi, Ali Azizivahed, Mohsen Gitizadeh Jan 2014

Distribution Expansion Planning Considering Reliability And Security Of Energy Using Modified Pso (Particle Swarm Optimization) Algorithm, Jamshid Aghaei, Kashem M. Muttaqi, Ali Azizivahed, Mohsen Gitizadeh

Faculty of Engineering and Information Sciences - Papers: Part A

Distribution feeders and substations need to provide additional capacity to serve the growing electrical demand of customers without compromising the reliability of the electrical networks. Also, more control devices, such as DG (Distributed Generation) units are being integrated into distribution feeders. Distribution networks were not planned to host these intermittent generation units before construction of the systems. Therefore, additional distribution facilities are needed to be planned and prepared for the future growth of the electrical demand as well as the increase of network hosting capacity by DG units. This paper presents a multiobjective optimization algorithm for the MDEP (Multi-Stage Distribution ...


Application Of Multiple Objective Particle Swarm Optimisation In The Design Of Damaged Offshore Mooring Systems, Zhuo Wang, Timothy J. Mccarthy, M Neaz Sheikh Jan 2013

Application Of Multiple Objective Particle Swarm Optimisation In The Design Of Damaged Offshore Mooring Systems, Zhuo Wang, Timothy J. Mccarthy, M Neaz Sheikh

Faculty of Engineering and Information Sciences - Papers: Part A

The offshore hydrocarbon industry operates in more hostile environments as more of marginal fields become economically viable. This means that more floating production systems and economical mooring systems will be needed. With this increase in the use of marginal fields goes the need to re-use vessels and moorings. Floating production systems, such as FPSO's, need to survive extreme events and extreme damage conditions. When one mooring line is damaged, the remaining ones must be sufficient to avoid a complete failure and still protect critical components such as the riser. This paper looks into applying an evolutionary optimisation technique, namely ...


Train Service Timetabling In Railway Open Markets By Particle Swarm Optimisation, T K. Ho, C W. Tsang, K H. Ip, K S. Kwan Jan 2012

Train Service Timetabling In Railway Open Markets By Particle Swarm Optimisation, T K. Ho, C W. Tsang, K H. Ip, K S. Kwan

SMART Infrastructure Facility - Papers

Railway timetabling is an important process in train service provision as it matches the transportation demand with the infrastructure capacity while customer satisfaction is also considered. It is a multi-objective optimisation problem, in which a feasible solution, rather than the optimal one, is usually taken in practice because of the time constraint. The quality of services may suffer as a result. In a railway open market, timetabling usually involves rounds of negotiations amongst a number of self-interested and independent stakeholders and hence additional objectives and constraints are imposed on the timetabling problem. While the requirements of all stakeholders are taken ...


A Particle Swarm Optimisation Approach To Reinforced Concrete Beam Design According To As3600, Timothy J. Mccarthy, Sean Mccluskey Jan 2009

A Particle Swarm Optimisation Approach To Reinforced Concrete Beam Design According To As3600, Timothy J. Mccarthy, Sean Mccluskey

Faculty of Engineering - Papers (Archive)

A program has been developed to utilise the Particle Swarm Optimisation Algorithm for the cost optimum design of reinforced concrete beams. Multiple constraints according to Australian Standard 3600 have been implemented along with costing information. A series of tests where conducted to investigate the effect of different parameters of the particle swarm algorithm and some refinement of these parameters was conducted. The value penalty coefficients had a significant effect on the results, causing non-convergence when very large penalty coefficients where used, and convergence on non-viable results when very small penalty coefficients where used.


Distributed Control For Robotic Swarms Using Centroidal Voronoi Tessellations, Shelley Rounds Dec 2008

Distributed Control For Robotic Swarms Using Centroidal Voronoi Tessellations, Shelley Rounds

All Graduate Theses and Dissertations

This thesis introduces a design combining an emerging area in robotics with a well established mathematical research topic: swarm intelligence and Voronoi tessellations, respectively. The main objective for this research is to design an economical and robust swarm system to achieve distributed control. This research combines swarm intelligence with Voronoi tessellations to localize a source and create formations. Extensive software coding must be implemented for this design, such as the development of a discrete centroidal Voronoi tessellation (CVT) algorithm. The ultimate purpose of this research is to advance the existing Mobile Actuator and Sensor Network (MASnet) platform to eventually develop ...