Academic literature on the topic 'Mechatronics and systems engineering'

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Journal articles on the topic "Mechatronics and systems engineering"

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Schitter, G. "Advanced Mechatronics for Precision Engineering and Mechatronic Imaging Systems." IFAC-PapersOnLine 48, no. 1 (2015): 942–43. http://dx.doi.org/10.1016/j.ifacol.2015.05.171.

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Basjaruddin, Noor Cholis, and Edi Rakhman. "Implementation of Project Based Learning in Mechatronic Lab Course at Bandung State Polytechnic." International Journal of Evaluation and Research in Education (IJERE) 5, no. 4 (October 7, 2016): 284. http://dx.doi.org/10.11591/ijere.v5i4.5955.

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Mechatronics is a multidisciplinary that includes a combination of mechanics, electronics, control systems, and computer science. The main objective of mechatronics learning is to establish a comprehensive mindset in the development of mechatronic systems. Project Based Learning (PBL) is an appropriate method for use in the learning process of mechatronic. The use of PBL by following the V model in system development process is expected to encourage the achievement of the main goal of learning in mechatronics lab. Demonstration of knowledge during the practical work done by drafting product development procedures documents, presentations, and project demo. The test result of mechatronics lab course based on PBL in Electronics Engineering Bandung State Polytechnic led to the conclusion that the model is acceptable and desirable to be passed with a few improvements. In addition, learners also feel there is a new challenge in following the PBL-based practicum.
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Anacker, Harald, Roman Dumitrescu, Jürgen Gausemeier, and Cheng Yee Low. "Identification of Reusable Controller Strategies for the System Design of Advanced Mechatronic Systems." Applied Mechanics and Materials 393 (September 2013): 579–85. http://dx.doi.org/10.4028/www.scientific.net/amm.393.579.

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Recently, mechatronics as a self-contained discipline has undoubtedly shaped the development of technical systems. Mechatronics stands for the close interaction of mechanics, electronics, control engineering and software engineering. Due to the advancement of information and communication technologies, the functionality of mechatronic systems will go far beyond current standards. The increasing complexity requires a consistent comprehension of the tasks between all the developers involved. Especially during the early design phases, the communication and cooperation between the engineers is necessary to design a first overall system model. In addition, reusing of once successfully implemented solution knowledge is becoming increasingly important related to the overall context of the triangle of tension formed by time, cost and quality. In our work, we will present an approach for the identification of reusable controller strategies for the system design of advanced mechatronic systems.
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Hackenberg, Georg, Christoph Richter, and Michael F. Zaeh. "From Conception to Refinement in Mechatronics Systems Engineering." International Journal of Materials, Mechanics and Manufacturing 4, no. 1 (2015): 66–73. http://dx.doi.org/10.7763/ijmmm.2016.v4.227.

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Krebs, Stefan, Sebastian Schmidt, Sven Matthiesen, and Sören Hohmann. "A Cooperative and Competitive Workshop in Mechatronics Engineering." International Journal of Engineering Pedagogy (iJEP) 4, no. 1 (February 2, 2014): 13. http://dx.doi.org/10.3991/ijep.v4i1.3068.

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This paper presents a new mechatronics laboratory for students in the 5th semester of the mechatronics degree course at the Karlsruhe Institute of Technology. It is the aim of this teaching event to sharpen the appreciation of synergy effects in the development of mechatronic systems among the students. Despite of the great freedom in the development process, a concept has been evolved, which causes low running costs due to the combination of a model kit with rapid prototyping methods. A first pilot study of the laboratory starting in the winter term 2014 has shown that the students approach the task despite of the high level of difficulty with fun and dedication, especially because of the wide solution space which was unknown for them from previous lectures.
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Kawasaki, Haruhisa. "Special Issue on Mechatronics." Journal of Robotics and Mechatronics 3, no. 4 (August 20, 1991): 301. http://dx.doi.org/10.20965/jrm.1991.p0301.

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Mechatronics is a term created to represent the total technology of mechanisms and electronics. Mechanical engineering dealing with mechanisms has a very long history. Its recent organic combination with electronics has certainly brought about a striking advance in the functions and performance of machines. This striking advance lay in the background of the creation of the new term “mechatronics”. The initiation of mechatronics was no doubt due to the advent of NC machine tools. NC machine tools were accomplished by fusing mechanisms with servo unit drives and computer techniques. The technique using them was somewhat innovative in that servo units were driven by digital computer signals. Mechatronics is considered as essential to develop peripheral machines for computers such as plotters, printers and magnetic memories, and as an application to wire bonding machines and X-ray exposing machines in semiconductor manufacturing processes. For such machines, increasingly higher speed and accuracy are likely to be required, and engineering developments are actively underway accordingly. This special issue was planned to present the current status and recent trends of mechatronic research arid development in Japan. The contents can be classified into three categories. First, bearings and actuators as basic mechatronic elements are featured. For bearings, trends of research and development on magnetic types which permit ultrahigh-speed rotation and operation in vacuum in particular were chosen. For actuators, recent examples of research and development on ultrasonic motors, linear motors and piezoelectric actuators were selected. Second, this issue presents examples of development in the area of X-ray steppers, memory medium handling systems, and polygonal scanners. These are frontier mechatronic systems and the descriptions will be of some help in recognizing future problems in development. Finally, some studies from the point of view of force-torque control were selected. While conventional mechatronic control studies are primarily concerned with position and speed control, force-torque control is expected to become an important trend. I hope that this special issue will be helpful in recognizing the current situation and future trends of mechatronics, and contribute to future developments in this area.
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Dinsdale, Jack. "Mechatronics engineering." Journal of Manufacturing Systems 16, no. 1 (January 1997): 69–70. http://dx.doi.org/10.1016/s0278-6125(97)88407-5.

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Nnodim, Chiebuka T., Micheal O. Arowolo, Blessing D. Agboola, Roseline O. Ogundokun, and Moses K. Abiodun. "Future trends in mechatronics." IAES International Journal of Robotics and Automation (IJRA) 10, no. 1 (March 1, 2021): 24. http://dx.doi.org/10.11591/ijra.v10i1.pp24-31.

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<p>Presently, the move towards a more complex and multidisciplinary system development is increasingly important in order to understand and strengthen engineering approaches for the systems in the engineering field. This will lead to the effective and successful management of these systems. The scientific developments in computer engineering, simulation and modeling, electromechanical motion tools, power electronics, computers and informatics, micro-electro-mechanical systems (MEMS), microprocessors, and distributed system platforms (DSPs) have brought new challenges to industry and academia. Important aspects of designing advanced mechatronic products include modeling, simulation, analysis, virtual prototyping, and visualization. Competition on a global market includes the adaptation of new technology to produce better, cheaper, and smarter, scalable, multifunctional goods. Since the application area for developing such systems is very broad, including, for example, automotive, aeronautics, robotics or consumer products, and much more, there is also the need for flexible and adaptable methods to develop such systems. These dynamic interdisciplinary systems are called mechatronic systems, which refer to a system that possess synergistic integration of Software, electronic, and mechanical systems. To approach the complexity inherent in the aspects of the discipline, different methods and techniques of development and integration are coming from the disciplines involved. This paper will provide a brief review of the history, current developments and the future trends of mechatronics in general view.</p>
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Luo, ChengPu. "Application and Development of Sensors in Mechatronic Systems." Electronics Science Technology and Application 1, no. 1 (July 26, 2014): 1. http://dx.doi.org/10.18686/esta.v1i1.1.

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This paper describes the role of the sensor and its position in mechatronic systems, but also about the common in mechatronics sensor types, characteristics, structure and use, etc., also introduced in the selection of indicators in mechatronics and sensor sensors in the future development direction and future prospects. Sensor information training as a pulse is more widely popular and development to all areas of our businesses, which is to make our transition from labor-intensive to technology-based, must use its information technology, namely sensor technology, the sensor in industrial automation, defense industry agriculture, energy, transportation, household appliances and other applications has its developing markets. Potential in our country especially in sensor technology maximum. The main applications for chemistry, environmental protection, bio-engineering and medical health and so on.
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Luo, ChengPu. "Application and Development of Sensors in Mechatronic Systems." Electronics Science Technology and Application 1, no. 1 (July 26, 2014): 1. http://dx.doi.org/10.18686/esta.v1i1.11.

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This paper describes the role of the sensor and its position in mechatronic systems, but also about the common in mechatronics sensor types, characteristics, structure and use, etc., also introduced in the selection of indicators in mechatronics and sensor sensors in the future development direction and future prospects. Sensor information training as a pulse is more widely popular and development to all areas of our businesses, which is to make our transition from labor-intensive to technology-based, must use its information technology, namely sensor technology, the sensor in industrial automation, defense industry agriculture, energy, transportation, household appliances and other applications has its developing markets. Potential in our country especially in sensor technology maximum. The main applications for chemistry, environmental protection, bio-engineering and medical health and so on.
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Dissertations / Theses on the topic "Mechatronics and systems engineering"

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Lasa, Morán J. Mikel. "A systems engineering approach for computer based design in mechatronics : a common rail application /." Düssdeldorf : VDI-Verl, 2002. http://www.gbv.de/dms/bs/toc/353099538.pdf.

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Proesser, Malte. "A new approach to systems integration in the mechatronic engineering design process of manufacturing systems." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/10492.

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Creating flexible and automated production facilities is a complex process that requires high levels of cooperation involving all mechatronics disciplines, where software tools being utilised have to work as closely as their users. Some of these tools are well-integrated but others can hardly exchange any data. This research aims to integrate the software systems applied by the mechatronic engineering disciplines to enable an enhanced design process characterised by a more parallel and iterative work flow. This thesis approaches systems integration from a data modelling point of view because it sees information transfer between heterogeneous data models as a key element of systems integration. A new approach has been developed which is called middle-in data modelling strategy since it is a combination of currently applied top-down and bottom-up approaches. It includes the separation of data into core design data which is modelled top-down and detailed design data modules which are modelled bottom-up. The effectiveness of the integration approach has been demonstrated in a case study undertaken for the mechatronic engineering design process of body shop production lines in the automotive industry. However, the application of the middle-in data modelling strategy is not limited to this use case: it can be used to enhance a variety of system integration tasks. The middle-in data modelling strategy is tested and evaluated in comparison with present top-down and bottom-up data modelling strategies on the basis of three test cases. These test cases simulated how the systems integration solutions based on the different data modelling strategies react to certain disturbances in the data exchange process as they would likely occur during industrial engineering design work. The result is that the top-down data modelling strategy is best in maintaining data integrity and consistency while the bottom-up strategy is most flexibly adaptable to further developments of systems integration solutions. The middle-in strategy combines the advantages of top-down and bottom-up approaches while their weaknesses and disadvantages are kept at a minimum. Hence, it enables the maintenance of data modelling consistency while being responsive to multidisciplinary requirements and adaptive during its step-by-step introduction into an industrial engineering process.
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Kanjanapas, Kan. "Human Mechatronics Considerations of Sensing and Actuation Systems for Rehabilitation Application." Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3640496.

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With the predicted increase in worldwide elderly population in the future and already significant populations of disabled people, assistive technologies and rehabilitation devices are demanded significantly. Utilizing a human mechatronic approach results in several advantages, including capability of measuring insightful information for patient's condition and providing proper assistive torque for abnormal movement correction. This dissertation investigates several domains, including (1) human dynamics model, (2) monitoring systems, and (3) design and control of active lower extremity exoskeleton.

The dissertation begins with a study of a human dynamic model and sensing system for diagnosis and evaluation of patient's gait condition as first step of rehabilitation. A 7-DOF exoskeleton equipped with multiple position sensors and smart shoes is developed, so that this system can deliver patient's joint motion and estimated joint torque information. A human walking dynamic model is derived as it consists of multiple sub-dynamic models corresponding to each gait phase. In addition, a 3D human motion capture system is proposed as it utilizes an inertial measurement unit (IMU) sensor for 3D attitude estimation with embedded time varying complementary filter. This sensing system can deliver 3D orientations of upper extremities, and a forward kinematics animation. For the development of a rehabilitation device, an active lower extremity exoskeleton is proposed. A rotary series elastic actuator (RSEA) is utilized as a main actuator of the exoskeleton. The RSEA uses a torsion spring yielding elastic joint characteristics, which is safe for human robot interaction applications. A RSEA controller design is implemented, including a PID controller, a feedforward controller for friction compensation, and a disturbance observer for disturbance rejection. All sensing and actuation systems developed in this dissertation are verified by simulation studies and experiments.

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Erdener, Onur Alper. "Development Of A Mechatronics Education Desk." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1095066/index.pdf.

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In this thesis a mechatronics education desk is developed. The system developed is a low cost, versatile mechatronics education and teaching environment that aims to facilitate hands-on education of undergradutate level mechatronics students. The desk is formed of three main modules that address the needs of mechatronics education: The WorkDesk, Mechatronic Building Blocks and Experimental Setups. These parts are well designed and presented to form a complete and coordinated solution for mechatronics education. The WorkDesk is a platform devoted to the mechatronics engineering trainee, which provides mechanical, electrical and software prototyping that enables studying, testing and parts integration for mechatronic projects. The components building up the WorkDesk are selected or developed to facilitate mechatronics design and prototyping. Mechatronic building blocks necessary for mechatronics teaching are identified and selected to be a part of the system. In order to support these modules, low cost custom building blocks are also developed. These include, an autonomous mobile robot kit and a versatile interface board called ready2go. Demonstrative experiments with custom developed building blocks are also presented. Two experimental setups are developed and presented in the scope of the thesis. The setups, Intelligent Money Selector and Heater/Cooler, address and demonstrate many aspects of mechatronic systems as well as aid introducing systems approach in mechatronics education. As a consequence, a mechatronics education desk is developed and presented with many hands-on educational case studies. The system developed forms an extensible and flexible software and hardware architecture and platform that enables integration of additional mechatronics education modules.
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Sherman, Matthew. "A Hands-on Method of Instruction for Feedback Control Systems and Mechatronics." Honors in the Major Thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/805.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf
Bachelors
Engineering and Computer Science
Mechanical Engineering
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Roos, Fredrik. "On design methods for mechatronics : servo motor and gearhead." Licentiate thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167.

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Roos, Fredrik. "Towards a methodology for integrated design of mechatronic servo systems." Doctoral thesis, Stockholm : Maskinkonstruktion, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4473.

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Basic, Goran. "Hardware-in-the-loop simulation of mechanical loads for mechatronics system design." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26323.

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Current research efforts in Hardware-In-The-Loop (HIL) simulations are directed toward testing Electronic Control Units, simulated digitally, in a physical experimental setup. This thesis presents different approach of using HIL simulations. Active and passive mechanical loads can be simulated physically on direct drive motors, under computer control. The work in thesis is based on effort-flow concept, which allows components of the experimental setup to be replaced as needed by physical or digital model. The only requirement that has to be satisfied is that elements of the setup retain their inputs and outputs, in the form of effort and flow pairs. Based on this theory, the new experimental setup was built, a generic HIL setup containing two DC motors, which are connected by shaft. One of the motors is used to actuate the system, while another motor represents the physical simulator. Based on the sets of derived formulas, physical simulator is able to simulate active and passive loads. Three different experimental levels are presented in the thesis. The open loop, current control and torque control experiments. The experimental results prove the concept in whole and show that theory can be applied in real world applications. The focus in this research is on simulation of nonlinear loads, whose models are presented by sets of nonlinear differential equations. Digital simulations require solutions of those equations and it is demanding job. The method of physical simulations presented in this thesis shows simpler way of simulating complex loads.
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Sjöstedt, Carl-Johan. "Modeling and Simulation of Physical Systems in a Mechatronic Context." Doctoral thesis, KTH, Maskinkonstruktion (Avd.), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10522.

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This thesis gives different views on the modeling and simulation of physical systems, especially together with embedded systems, forming mechatronic systems. The main considered application domain is automotive. One motivation behind the work is to find suitable representations of physical systems to be used in an architectural description language for automotive embedded systems, EAST-ADL2, which is implemented as a UML2 profile, and uses concepts from both UML and SysML. As a part of the thesis, several languages and tools are investigated, including bond graphs, MATLAB/Simulink, Ptolemy II, Modelica, MATLAB/Simscape and SysML. For SysML, the modeling of continuous-time systems and how it relates to MATLAB/Simulink and Modelica is evaluated. A case study of an electric power assisted steering is modeled to show the differences, the similarities and the usage of the above mentioned languages and tools. To be able to classify the tools and languages, five realization levels were developed: Physical modeling models Constraint models Continuous causal models Discretized models Discretized models with solver and platform implementation By using these realization levels, models, tools and modeling languages can be classified, and transformations between them can be set up and analyzed. As a result, a method to describe the simulation behavior of a MATLAB/Simulink model has been developed using SysML activity diagrams as an approach to achieve integrated system models. Another result is an evaluation of the parametric diagrams of SysML for continuous-time modeling, which shows that they do not enable “physical modeling”, i.e. modeling the topology of the system and getting the underlying equations out of this topology. By including physical ports and physical connectors to SysML internal block diagrams, this could be solved. The comparison also shows many similarities between the languages. The results led to a more detailed investigation on conjugate variables, such as force and velocity, and electric current and voltage, and how these are treated in various languages. The thesis also includes two industrial case studies: one of a twin-screw compressor, and one of a simulation environment for automotive fuel-cell systems. Conclusions are drawn from these models, referring to the realization levels.
QC 20100810
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Chen, Kenway. "MCAD - ECAD integration : constraint modeling and propagation /." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26484.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Schaefer, Dirk; Committee Member: Panchal, Jitesh; Committee Member: Paredis, Chris; Committee Member: Rosen, David; Committee Member: Yoder, Douglas. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Books on the topic "Mechatronics and systems engineering"

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Janschek, Klaus. Mechatronic Systems Design: Methods, Models, Concepts. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2012.

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B, Histand Michael, ed. Introduction to mechatronics and measurement systems. 4th ed. New York: McGraw-Hill, 2012.

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B, Histand Michael, ed. Introduction to mechatronics and measurement systems. 3rd ed. Dubuque, IA: McGraw-Hill, 2007.

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B, Histand Michael, ed. Introduction to mechatronics and measurement systems. 2nd ed. Boston: McGraw-Hill, 2003.

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Mechatronics: A foundation course. Boca Raton: Taylor & Francis, 2010.

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Merzouki, Rochdi. Intelligent Mechatronic Systems: Modeling, Control and Diagnosis. London: Springer London, 2013.

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Shetty, Devdas. Mechatronics system design. Boston: PWS Pub., 1997.

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Electromechanical systems, electric machines, and applied mechatronics. Boca Raton, Fla: CRC Press, 2000.

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Auslander, David M. Mechatronics: Mechanical system interfacing. Upper Saddle River, N.J: Prentice Hall, 1996.

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Karnopp, Dean. System dynamics: Modeling and simulation of mechatronic systems. 5th ed. Hoboken, NJ: Wiley, 2012.

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Book chapters on the topic "Mechatronics and systems engineering"

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Marhöfer, M., and J. Löschberger. "Mechatronics System Engineering." In Angewandte Informatik und Software / Applied Computer Science and Software, 113–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93501-5_11.

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Hein, Lars. "Framework for Mechatronics Systems Design." In Perspectives from Europe and Asia on Engineering Design and Manufacture, 251–59. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2212-8_24.

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Bachorz, Paweł. "Mechatronics Systems Modelling Challenges and Threats." In Modelling in Engineering 2020: Applied Mechanics, 1–10. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68455-6_1.

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Bu, Xuhui, Fashan Yu, and Fuzhong Wang. "Iterative Feedback Tunning for Boiler–Turbine Systems." In Electrical, Information Engineering and Mechatronics 2011, 239–46. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_28.

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Wang, Shaohua. "Fault-Tolerant Control of Time-Delay Systems." In Electrical, Information Engineering and Mechatronics 2011, 837–45. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_99.

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Liu, Juan. "Dynamical Output Feedback Control for Distributed Delay Systems." In Electrical, Information Engineering and Mechatronics 2011, 285–92. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_33.

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Liu, Lifang, and Shuli Sun. "State Filter for Descriptor Systems with Packet Losses." In Electrical, Information Engineering and Mechatronics 2011, 427–33. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_50.

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Haibin, Yuan. "Network Topology Model and Fault Analysis for Electrical Control Systems." In Electrical, Information Engineering and Mechatronics 2011, 1473–79. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_175.

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Wang, Guowei, Zhibin Zhang, and Manjun Xue. "A Solution for Management Information Systems Integration Based on WebService." In Electrical, Information Engineering and Mechatronics 2011, 1601–8. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_191.

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Du, Jingjing, Xinliang Zhang, and Chunyue Song. "Multilinear Model-Based PI Control of Block-Oriented Nonlinear Systems." In Electrical, Information Engineering and Mechatronics 2011, 221–28. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_26.

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Conference papers on the topic "Mechatronics and systems engineering"

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Ben-Hanan, Uri, and Oded Reichsfeld. "Mechatronics as a Learning Platform." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59233.

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A new model for professional development training in the field of mechatronics is presented in this paper. According to this model, students’ first steps in the mechatronic track will be made while they are still in high school. Here they will be exposed to the field of mechatronics, using basic engineering tools such as reverse engineering and design process procedures. Through the reverse engineering process students will get insight into how both everyday and hi-tech products are engineered. Students will study the basic building blocks of a system, how they are connected, and the kind of interfaces being used. In addition, the high school program will show students how a system is designed. The design process is based on engineering methodology, which includes writing specifications, seeking a few alternative solutions and choosing the best one for the given problem. After determining which is the best system, students build it using the available technical tools such as Lego® bricks and a Lego microcontroller. This basic introduction to mechatronics, when given to high school students, is liable to lead them to seriously consider this field when deciding about their future careers. Such a program will present students with an overview of the broad knowledge needed by mechatronic systems designers. The model presented in this article can be represented using the letter “I”, where the lower horizontal line of the letter symbolizes the high school program, the long vertical line symbolizes both basic and disciplinary academic studies, and the top horizontal line symbolizes the interdisciplinary mechatronic broadening.
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Shetty, Devdas, Naresh Poudel, and Esther Ososanya. "Design of Robust Mechatronics Embedded Systems by Integration of Virtual Simulation and Mechatronics Platform." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52784.

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Increasing demands on the productivity of complex systems, such as machine tools and their steadily growing technological importance will require the application of new methods in the product development process. This paper shows that the analysis of the simulation results from the simulation based mechatronic model of a complex system followed by a procedure that allows a better understanding of the dynamic behavior and interactions of the components. Mechatronics is a design philosophy, which is an integrating approach to engineering design. Through a mechanism of simulating interdisciplinary ideas and techniques, mechatronics provides ideal conditions to raise the synergy, thereby providing a catalytic effect for the new solutions to technically complex situations. This paper shows how the mechatronic products can exhibit performance characteristics that were previously difficult to achieve without the synergistic combination. The paper further examines an approach used in modeling, simulation and optimization of dynamic machine tools and adopts it for general optimized design of mechatronics instrumentation and portable products. By considering the machine tool as a complete mechatronic system, which can be broken down into subsystems, forms the fundamental basis for the procedure. Starting from this point of view it is necessary to establish appropriate simulation models, which are capable of representing the relevant properties of the subsystems and the dynamic interactions between the machine components. Many real-world systems can be modeled by the mass-spring-damper system and hence considering one such system, namely Mechatronics Technology Demonstrator (MTD) is discussed here. MTD is a portable low cost, technology demonstrator, developed and refined by the authors. It is suitable for studying the key elements of mechatronic systems including; mechanical system dynamics, sensors, actuators, computer interfacing, and application development. An important characteristic of mechatronic devices and systems is their built-in intelligence that results through a combination of precision, mechanical and electrical engineering, and real time programming integrated to the design process. The synergy can be generated by the right combination of parameters, that is, the final product can be better than just the sum of its parts. The paper highlights design optimization of several mechatronic products using the procedures derived by the use of mass spring damper based mechatronic system. The paper shows step by step development of a mechatronic product and the use of embedded software for portability of hand held equipment. A LabVIEW based platform was used as a control tool to control the MTD, perform data acquisition, post-processing, and optimization. In addition to the use of LabVIEW software, the use of embedded control system has been proposed for real-time control and optimization of the mass-spring-damper system. Integrating embedded control system with the mass-spring-damper system makes the MTD a multi-concepts Mechatronics platform. This allows interface with external sensors and actuators with closed-loop control and real-time monitoring of the physical system. This teaches students the skill set required for embedded control: design control algorithms (model-based embedded control software development, signal processing, communications), Computer Software (real-time computation, multitasking, interrupts), Computer hardware (interfacing, peripherals, memory constraints), and System Performance Optimization. This approach of deriving a mathematical model of system to be controlled, developing simulation model of the system, and using embedded control for rapid prototyping and optimization, will practically speed product development and improve productivity of complex systems.
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Shetty, Devdas, and Lou Manzione. "Emerging Trends in Mechatronics and Smart Manufacturing." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84231.

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The importance of mechatronics is evidenced by the myriad smart products that we take for granted in our daily lives, from the wall climbing robots to advanced flight control systems and multifunctional precision machines. The multidisciplinary mechatronic field offers optimum solutions to a multivariable problem. The technological advances in digital engineering, simulation and modeling, electromechanical motion devices, power electronics, computers and informatics, MEMS, microprocessors and DSPs have brought new challenges to industry and academia. Modeling, simulation, analysis, virtual prototyping and visualization are critical aspects of developing advanced mechatronic products. Competing in a global market requires the adaptation of modern technology to yield flexible, multifunctional products that are better, cheaper and intelligent. This presentation will examine recent advances of mechatronics in smart manufacturing and will examine (a) Development and implementation of original and innovative mechatronic systems, (b) Additional modifications and improvements to conventional designs by using a mechatronics approach.
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Craig, Kevin. "Mechatronics at Rensselaer: Integration Through Design." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/cie1992-0117.

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Abstract Mechatronics is the synergistic combination of precision mechanical engineering, electronics, control engineering, and computer science in the design process. This paper describes a new elective course entitled Mechatronics which has been developed and was taught for the first time at Rensselaer during the fall 1991 semester to 45 senior-undergraduate and graduate students. The key areas of mechatronics which are studied in depth in this course are: control sensors and actuators, interfacing sensors and actuators to a microcomputer, discrete controller design, and real-time programming for control using the C programming language. The course is heavily laboratory-based with a two-hour laboratory weekly in addition to three hours of classroom lecture. The laboratory exercises include computer-aided control system design using MATRIXx, various analog and digital sensors, hydraulic actuators, DC and stepper motors, and computer control of a variety of physical systems. The unifying theme for the course is the integration of these key areas into a successful mechatronic design. Students are required, as a final project, to: identify a problem or need, analyze the problem, and write a problem statement; perform a state-of-the-art review; develop a list of specifications and identify the key specifications; generate an outstanding mechatronic-system conceptual design; and finally perform a detailed design of the system which may include model building and hardware development. Examples of student projects are described. This course should significantly enhance our design education program in the Mechanical Engineering Department and lay the foundation for the students to become mechatronic design engineers.
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Gausemeier, Ju¨rgen, Rafał Dorociak, and Lydia Kaiser. "Computer-Aided Modeling of the Principle Solution of Mechatronic Systems: A Domain-Spanning Methodology for the Conceptual Design of Mechatronic Systems." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28315.

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Mechatronics — the symbiotic cooperation of mechanics, electrics/electronics, control engineering and software engineering — opens up more and more fascinating perspectives for the development of future mechanical engineering products. Still, development of mechatronic systems remains a challenge. To cope with this challenge a new domain-spanning design methodology for mechatronic systems is needed. This contribution presents a design methodology, which consists of a specification technique for the domain-spanning description of the principle solution of an advanced mechatronic system, a procedure model, which defines the constituent steps of the conceptual design, their results and their order, as well as software tool, which provides means for managing the design complexity and intuitive modeling of the principle solution. The advantages of the design methodology are demonstrated in a case study from the development of an autonomous miniature robot.
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Al-Ali, A. R., and M. A. Al-Jarrah. "Embedded systems for mechatronics." In Exhibition, "Innovative Engineering for Sustainable Environment". IEEE, 2009. http://dx.doi.org/10.1109/ieeegcc.2009.5734299.

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Bradley, D. A. "Mechatronics and intelligent systems." In Second International Conference on `Intelligent Systems Engineering'. IEE, 1994. http://dx.doi.org/10.1049/cp:19940656.

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Shetty, Devdas, Pruthviraj Umesh, and K. V. Gangadharan. "Platform for Mechatronics Education Using: (1) Mechatronics Technology Demonstrator, and (2) Web Based Virtual Experimentation." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70223.

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Increasing demands on the productivity of complex systems, such as machine tools and their steadily growing technological importance will require the application of new methods in the product development process. This paper shows that the analysis of the simulation results from the simulation based mechatronic model of a complex system followed by a procedure that allows a better understanding of the dynamic behavior and interactions of the components. This paper will highlight the results of interaction between National Institute of Technology, (NITK) Surathkal, India and University of District of Columbia (UDC) in the area of Mechatronics and virtual testing. Mechatronics is a design philosophy, which is an integrating approach to engineering design. Through a mechanism of simulating interdisciplinary ideas and techniques, mechatronics provides ideal conditions to raise the synergy, thereby providing a catalytic effect for the new solutions to technically complex situations. Many real-world systems can be modeled by the mass-spring-damper system and hence considering one such system, namely Mechatronics Technology Demonstrator (MTD) is taken as the first example. MTD is a portable low cost, technology demonstrator that can be used for teaching mechatronics system design. The paper highlights design optimization of several mechatronic products using the procedures derived by the use of mass spring damper based mechatronic system. The second example is on web based virtual experimentation, where the experiment is conducted by remote triggering of Torsion Testing Machine. Remote triggered (RT) experimentation is a method of remotely controlling the laboratory equipment by an internet based system from a webpage. RT lab is an excellent way for the students to get access to expensive state of the art labs and equipment. The present work deals with the systematic approach of realizing a remote triggered experimentation on a horizontal torsional testing machine which can be triggered from a tablet PC or a laptop through an internet connection directed to the server computer system. RT lab algorithms are built in the server computer and the information and controls will be displayed on an html webpage where the experiment can be conducted. In this experiment the machine is remotely started through a command in the webpage which will be directed to the main server computer system from a wireless handheld internet enabled device such as laptops or tablet PCs and render the suitable graph of the experiment in the device. The experiment is completely in the control of the user. The person can either on/off the main equipment with the help of the device within the given slot of time and the data from the graph can be retrieved for further analysis. The first example uses a software platform of VisSim and the second example uses a software platform LabView. Although located in two different locations and countries, this paper examines the common mechatronics philosophy and the design approach used in modeling, simulation, optimization and virtual experimentation in building robust mechatronics product and procedures.
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Vantsevich, Vladimir V. "Integration of Education and Research in Mechatronics Engineering Programs." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12387.

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Based on extensive experience of establishing and teaching new mechatronic systems engineering courses and M.Sc.-degree program since 2006 at Lawrence Technological University, this paper concentrates on the integration of education and engineering research processes. The paper analyzes challenges such as the content of each academic course and cross-lists all the courses to provide the continuity of education/research process in the mechatronic systems engineering program, selection of modeling and design techniques, usage of software products in the courses and research projects, different educational degrees (including students with PhD degrees) and professional backgrounds of mechatronics students, domestic/international student ratio, and part time/full time student ratio. Based on the analysis of the challenges, a key plan for the education-research integration was developed and implemented. Details are in the paper.
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Pedersen, Henrik C., Torben O. Andersen, and Michael R. Hansen. "Mechatronic Control Engineering: A Problem Oriented and Project Based Learning Curriculum in Mechatronic." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42656.

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Mechatronics is a field of multidisciplinary engineering that not only require knowledge about different technical areas, but also insight into how to combine technologies optimally, to design efficient products and systems. This paper addresses the group project based and problem-oriented learning approach in relation to a mechatronic education, which makes it possible for the student to get in-depth skills in the area of mechatronics very fast. The trends and applications of mechatronic engineering and research are illustrated. Control engineering plays a central role in this context, where the well established methods from control engineering form very powerful techniques in both analysis and synthesis of mechatronic systems. The necessary skills for mechatronic engineers are outlined followed up by a discussion on how problem oriented project based learning is implemented. A complete curriculum named Mechatronic Control Engineering is presented, which is started at Aalborg University, Denmark, and the content of the semesters and projects are described. The projects are all characterized by the use of simulation and control for the purpose of analyzing and designing complex commercial systems of a strongly dynamic nature.
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Reports on the topic "Mechatronics and systems engineering"

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Grygiel, M. L. Site systems engineering: Systems engineering management plan. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/353256.

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Turner, Richard, Ray Madachy, Jo A. Lane, Dan Ingold, and Laurence Levine. Agile and Lean Systems Engineering: Kanban in Systems Engineering. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada582072.

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Blackburn, Mark. Introducing Model Based Systems Engineering Transforming System Engineering through Model-Based Systems Engineering. Fort Belvoir, VA: Defense Technical Information Center, March 2014. http://dx.doi.org/10.21236/ada605264.

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Leonard, John. Systems Engineering Fundamentals. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada372635.

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Bayuk, Jennifer, Dennis Barnabe, Jonathan Goodnight, Drew Hamilton, Barry Horowitz, Clifford Neuman, and Stas' Tarchalski. Systems Security Engineering. Fort Belvoir, VA: Defense Technical Information Center, August 2010. http://dx.doi.org/10.21236/ada637296.

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Bartolotta, Anna, Charles McLean, Y. Tina Lee, and Albert Jones. Production Systems Engineering:. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6154.

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Cybenko, George, and Daniella Rus. Agent-Based Systems Engineering. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada440824.

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Rose, C. M., and M. A. Dutra. Systems Engineering Project - Tritium. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1598946.

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Rodriguez, Tamara S. Systems engineering management plans. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/1004370.

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Colombi, J., L. Anderson, P. Doty, M. Griego, K. Timko, and B. Hermann. Operational Domain Systems Engineering. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada572288.

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