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Journal articles on the topic "Mechatronics – Mathematical models"

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Precup, Radu-Emil, and Stefan Preitl. "Control solutions in mechatronics systems." Facta universitatis - series: Electronics and Energetics 18, no. 3 (2005): 379–94. http://dx.doi.org/10.2298/fuee0503379p.

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This paper presents control solutions dedicated to a class of controlled plants widely used in mechatronics systems, characterized by simplified mathematical models of second-order and third-order plus integral type. The conventional control solution is focused on the Extended Symmetrical Optimum method proposed by the authors in 1996. There are proposed six fuzzy control solutions employing PI-fuzzy controllers. These solutions are based on the approximate equivalence in certain conditions between fuzzy control systems and linear ones, on the application of the modal equivalence principle, and on the transfer of results from the continuous-time conventional solution to the fuzzy solutions via a discrete-time expression of the controller where Prof. Milic R. Stojic's book [1] is used. There is performed the sensitivity analysis of the fuzzy control systems with respect to the parametric variations of the controlled plant, which enables the development of the fuzzy controllers. In addition, the paper presents aspects concerning Iterative Feedback Tuning and Iterative Learning Control in the framework of fuzzy control systems. The theoretical results are validated by considering a real-world application.
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Tarnowski, Wojciech. "Present-day Problems and Methods of Optimization in Mechatronics." Acta Mechanica et Automatica 11, no. 2 (June 1, 2017): 154–65. http://dx.doi.org/10.1515/ama-2017-0024.

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Abstract It is justified that design is an inverse problem, and the optimization is a paradigm. Classes of design problems are proposed and typical obstacles are recognized. Peculiarities of the mechatronic designing are specified as a proof of a particle importance of optimization in the mechatronic design. Two main obstacles of optimization are discussed: a complexity of mathematical models and an uncertainty of the value system, in concrete case. Then a set of non-standard approaches and methods are presented and discussed, illustrated by examples: a fuzzy description, a constraint-based iterative optimization, AHP ranking method and a few MADM functions in Matlab.
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Vekteris, Vladas. "The Use of Mechatronics for the Improvement of Grinding Accuracy." Solid State Phenomena 113 (June 2006): 137–42. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.137.

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Various aspects of the improvement of the functioning of grinding accuracy are considered. Active methods of the control of grinding systems are proposed to ensure the quality required for finishing. It is pointed out that the quality of finishing is closely connected with the mutual position of the tool and the work piece in the grinding process. This position is appreciated by permissible state areas of the axis of the tool and the work piece. Analytical expression of this interaction is described by non-traditional mathematical model’s dependences. Mathematical models presented evaluate eccentricity between the tool and the work piece or between other elements of the system and enable one to better understand the appearance of the second and higher harmonics on the work piece processed or on the tool. They allow one to simulate the finishing not only of the cylindrical, but also of non-round profile work pieces, such as cams, eccentrics, etc. The mathematical dependences worked out allow one to build various modifications of the grinding systems and to evaluate the quality of their functioning. A circuit for the active control of the tool position is proposed, with the goal of quality improvement of finishing. For this purpose the usage of the adaptive spindle with tilting-pad journal bearings is suggested.
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Olejnik, Paweł, and Jan Awrejcewicz. "Intelligent Mechatronics in the Measurement, Identification, and Control of Water Level Systems: A Review and Experiment." Machines 10, no. 10 (October 20, 2022): 960. http://dx.doi.org/10.3390/machines10100960.

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In this paper, a unique overview of intelligent machines and mathematical methods designed and developed to measure and to control the water level in industrial or laboratory setups of coupled and cascaded configurations of tanks is made. A systematized and concise overview is made of the mechatronic systems used in the measurement, identification, and control of the water level enumerates, the software used in the associated scientific research, modern techniques and sensors, and mathematical models, as well as analysis and control strategies. The broad overview of applications of the last decade is finalized by a proposition of a control system that is based on a parameter estimation of a new experimental setup, an integral dynamic model of the system, a modern mechatronic machine such as the Watson-Marlow peristaltic pump, the Anderson Negele sensor of level, the NI cRIO-9074 controller, and LabVIEW virtual instrumentation. The results of real experimental tests, exploiting a hybrid proportional control, being improved by a numerically predicted water level, are obtained using a few tools, i.e., the static characteristics, the classical step response, and a new pyramid-shaped step function of a discontinuous path-following reference input, being introduced to evaluate the effectiveness and robustness of the regulation of the level height.
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Eliseev, S. V., A. S. Mironov, and Quang Truc Vuong. "Dynamic damping under introduction of additional couplings and external actions." Vestnik of Don State Technical University 19, no. 1 (April 1, 2019): 38–44. http://dx.doi.org/10.23947/1992-5980-2019-19-1-38-44.

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Introduction.The dynamic interaction features in mechanical oscillating systems, whose structure includes additional couplings, are considered. In practice, such cases occur when using various optional mechanisms and motion translation devices under the formation of technical objects. The study objective is to develop a method for constructing mathematical models in the problems of dynamics of the mechanical oscillating systems with optional devices and features in the system of external disturbing factors.Materials and Methods. The techniques used to study properties of the systems and the dynamic effects are based on the ideas of structural mathematical modeling. It is believed that the mechanical oscillating system, considered as a design model of a technical object, can be compared to the dynamically equivalent automatic control system. The mathematical apparatus of the automatic control theory is used.Research Results.A method for constructing mathematical models is developed. The essential analytical relations for plotting oscillating systems are obtained, which enable to form a methodological basis for the integral estimation and comparative analysis of the initial system properties in various dynamic states. Dynamic properties of the two-degree-offreedom systems within the framework of the computer simulation are investigated. The implementability of dynamic oscillation damping mode simultaneously in two coordinates with the joint action of two in-phase kinematic perturbations in the mechanical oscillating systems is shown.Discussion and Conclusions.The possibilities of new dynamic effects, which are associated with the change in the system structure under certain forms of dynamic interactions, are noted. The study is of interest to experts in machine dynamics, robotics, mechatronics, nano and mesomechanics.
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Redlarski, Grzegorz, Janusz Piechocki, and Mariusz Dąbkowski. "Mathematical Models of Control Systems of Angular Speed of Steam Turbines for Diagnostic Tests of Automatic and Mechatronic Devices." Solid State Phenomena 198 (March 2013): 519–24. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.519.

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In many automatics and mechatronics systems accurate modeling of several physical processes is needed. In power system, one of these is the process of control of angular velocity of power blocks during their connection to parallel operation. This process is extremely dynamic and the response of control system results from continuous changes in many physical parameters (temperature, pressure and flow of the working medium, etc.). An accuracy of modeling this process influences int. al. on: quality of the automatic synchronizer diagnostic tests in the laboratory, as well as the possibility of evaluation of prospects for connection process in the power system, without the automatic synchronizer [. Automatics systems used for research and diagnosis of automatic synchronizers are known in the literature as and simulators [2, . To impose similar to real working conditions, it is required to implement an appropriate models of control systems. One of such models, representative for the larger population of objects, is model of control systems of angular velocity. Currently used models, e.g. [3, 4, 5, , allow to approximate the response of real object, or to impose higher restricted conditions of work, for example: related to the angular acceleration dω/dt, the size of overshoots and decay time of transitional characteristics, while accurate modeling the real working conditions using them is not possible. Furthermore, their use requires knowledge of the (often difficult to access) object parameters and time-consuming selection of manual procedure of certain substitute settings, occurring in these models. To eliminate inconveniences mentioned above, in the paper the proposal and mathematical modeling procedure is presented, which allow to obtain much more accurate transitional characteristics of real objects.
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Prechtl, J., J. Kunze, G. Moretti, D. Bruch, S. Seelecke, and G. Rizzello. "Modeling and experimental validation of thin, tightly rolled dielectric elastomer actuators." Smart Materials and Structures 31, no. 1 (November 19, 2021): 015008. http://dx.doi.org/10.1088/1361-665x/ac34be.

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Abstract Due to their large deformation, high energy density, and high compliance, dielectric elastomer actuators (DEAs) have found a number of applications in several areas of mechatronics and robotics. Among the many types of DEAs proposed in the literature, rolled DEAs (RDEAs) represent one of the most popular configurations. RDEAs can be effectively used as compact muscle-like actuators for soft robots, since they allow eliminating the need for external motors or compressors while providing at the same time a flexible and lightweight structure with self-sensing capabilities. To effectively design and control complex RDEA-driven systems and robots, accurate and numerically efficient mathematical models need to be developed. In this work, we propose a novel lumped-parameter model for silicone-based, thin and tightly rolled RDEAs. The model is grounded on a free-energy approach, and permits to describe the electro-mechanically coupled response of the transducer with a set of nonlinear ordinary differential equations. After deriving the constitutive relationships, the model is validated by means of an extensive experimental campaign, conducted on three RDEA specimens having different geometries. It is shown how the developed model permits to accurately predict the effects of several parameters (external load, applied voltage, actuator geometry) on the RDEA electro-mechanical response, while maintaining an overall simple mathematical structure.
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Irschik, Hans, Michael Krommer, and Kurt Schlacher. "Mechanics and Model Based Control." Advances in Science and Technology 83 (September 2012): 85–94. http://dx.doi.org/10.4028/www.scientific.net/ast.83.85.

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The present contribution gives an overview on own research that has been performed from 2008 to 2011 in Area 2, Mechanics and Model Based Control, of the COMET K2 Austrian Center of Competence in Mechatronics (ACCM), which is situated at the Science Park of the Johannes Kepler University of Linz. Area 2 is motivated by the fact that mechanics and control both are rapidly expanding scientific fields, which share demanding mathematical and/or system-theoretic formulations and methods. The goal of Area 2 has been to utilize and extend these relations, with special emphasis on solid mechanics and control methods based on physical models. Some corresponding results will be reviewed subsequently with respect to the mechanical modelling of structures, robots and machines, and with respect to the corresponding model based control as linear/non-linear lumped/distributed parameter systems. Due to limitations in space, the present review restricts itself to work of Area 2 that has been directly performed at the University of Linz. The review contains 118 references to works on mechanics and model based control.
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A S, Sharan, Somashekhar S. Hiremath, C. S. Venkatesha, and S. Karunanidhi. "Investigation on the critical parameters affecting the working design dynamics of a torque motor employed in an electro-hydraulic servovalve." SIMULATION 95, no. 1 (April 16, 2018): 31–49. http://dx.doi.org/10.1177/0037549718759187.

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The torque motor is an intricate assembly in electro-hydraulic technology and plays a crucial role in converting the electrical signal into controlled mechanical output signal. It involves many precise components, such as the feedback spring, armature and its coil, permanent magnet, feed pipe, flexure shaft, jetpipe, and flexure support. The components are embedded together as a single operating component. Each component contributes to the effective dynamics of the system. The present paper proposes a novel approach to investigate the effect of critical parameters on the working design dynamics of the torque motor employed in the jetpipe electro-hydraulic servovalve. Based on the principles of mechatronics, a mathematical model is developed. The model-based design approach is employed to investigate the dynamics of the system. The required simulation parameters of the critical and precision components were obtained from solid and finite element (FE) models. The solid and FE models of the critical and precision components were first analyzed with suitable boundary and loading conditions to establish the stiffness. To validate the obtained FE results, experiments were carried out with a specially designed and fabricated test set-up. Based on the basic principle of electromagnetics, a nonlinear FE model of torque motor is analyzed for magnetic field distribution, the torque developed, and armature and jetpipe deflection for varied input current. From the results obtained, good agreement was observed between FE, simulated, and experimental values. The present novel approach enables one to improve the working design dynamics of the torque motor.
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Dumitru, Nicolae, Anca Didu, and Petre Cristian Copilusi. "Mechatronic System for Locomotion Rehabilitation." Advanced Engineering Forum 27 (April 2018): 85–92. http://dx.doi.org/10.4028/www.scientific.net/aef.27.85.

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The purpose of this study is to develop computational mathematical models for virtual prototyping of an actuation system from an exoskeleton human knee joint. These models are a part of the virtual and experimental prototype of a mechatronic system for locomotion rehabilitation in case of disabled persons. Experimental tests were performed on a group of persons without locomotion deficiencies. The obtained database was used to develop geometrical kinematic synthesis of the exoskeleton actuation mechanisms for knee’s joint and also ankle.
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Dissertations / Theses on the topic "Mechatronics – Mathematical models"

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Скворчевський, Олександр Євгенович. "Динамічні характеристики мехатронного електрогідравлічного модуля поступального руху." Thesis, НТУ "ХПІ", 2013. http://repository.kpi.kharkov.ua/handle/KhPI-Press/28245.

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Vaezi, Masoud. "Modeling and control of hydraulic wind power transfer systems." Thesis, 2014. http://hdl.handle.net/1805/6172.

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Indiana University-Purdue University Indianapolis (IUPUI)
Hydraulic wind power transfer systems deliver the captured energy by the blades to the generators differently. In the conventional systems this task is carried out by a gearbox or an intermediate medium. New generation of wind power systems transfer the captured energy by means of high-pressure hydraulic fluids. A hydraulic pump is connected to the blades shaft at a high distance from the ground, in nacelle, to pressurize a hydraulic flow down to ground level equipment through hoses. Multiple wind turbines can also pressurize a flow sending to a single hose toward the generator. The pressurized flow carries a large amount of energy which will be transferred to the mechanical energy by a hydraulic motor. Finally, a generator is connected to the hydraulic motor to generate electrical power. This hydraulic system runs under two main disturbances, wind speed fluctuations and load variations. Intermittent nature of the wind applies a fluctuating torque on the hydraulic pump shaft. Also, variations of the consumed electrical power by the grid cause a considerable load disturbance on the system. This thesis studies the hydraulic wind power transfer systems. To get a better understanding, a mathematical model of the system is developed and studied utilizing the governing equations for every single hydraulic component in the system. The mathematical model embodies nonlinearities which are inherited from the hydraulic components such as check valves, proportional valves, pressure relief valves, etc. An experimental prototype of the hydraulic wind power transfer systems is designed and implemented to study the dynamic behavior and operation of the system. The provided nonlinear mathematical model is then validated by experimental result from the prototype. Moreover, this thesis develops a control system for the hydraulic wind power transfer systems. To maintain a fixed frequency electrical voltage by the system, the generator should remain at a constant rotational speed. The fluctuating wind speed from the upstream, and the load variations from the downstream apply considerable disturbances on the system. A controller is designed and implemented to regulate the flow in the proportional valve and as a consequence the generator maintains its constant speed compensating for load and wind turbine disturbances. The control system is applied to the mathematical model as well as the experimental prototype by utilizing MATLAB/Simulink and dSPACE 1104 fast prototyping hardware and the results are compared.
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Узунов, Александр Васильевич. "Развитие теории моделирования и проектирования мехатронных систем и устройств." Doctoral thesis, 2011. https://ela.kpi.ua/handle/123456789/1319.

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Books on the topic "Mechatronics – Mathematical models"

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Rybit︠s︡kiĭ, L. S. Ievads dinamisko procesu modelēšanā mehatronikas sistēmās. Rīga: RTU Izd., 2007.

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United Arab Emirates) International Conference on Mechatronics and Computational Mechanics (2012 Dubai. Mechatronics and computational mechanics: Selected, peer reviewed papers from the 2012 International Conference on Mechatronics and Computational Mechanics (ICMCM 2012), 20-21 December 2012, Dubai, UAE. Durnten-Zurich: Trans Tech, 2013.

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Siedl, Daniel. Simulation des dynamischen Verhaltens von Werkzeugmaschinen während Verfahrbewegungen. München: Utz, 2008.

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Damic, Vjekoslav. Mechatronics by bond graphs: An object-oriented approach to modelling and simulation. Berlin: Springer, 2003.

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Chakrabortty, Aranya. Control and optimization methods for electric smart grids. Edited by Ilic Marija D. 1951-. New York: Springer, 2012.

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Błażewicz, Jacek. Scheduling computer and manufacturing processes. 2nd ed. Berlin: Springer, 2001.

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Wachspress, Eugene. The ADI Model Problem. New York, NY: Springer New York, 2013.

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Montgomery, John, Vjekoslav Damic, and Vjekoslav Damc. Mechatronics by Bondgraphs. Springer, 2003.

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Montgomery, John, and Vjekoslav Damic. Mechatronics by Bond Graphs: An Object-Oriented Approach to Modelling and Simulation. Springer London, Limited, 2016.

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Montgomery, John, and Vjekoslav Damic. Mechatronics by Bond Graphs: An Object-Oriented Approach to Modelling and Simulation. Springer, 2016.

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Book chapters on the topic "Mechatronics – Mathematical models"

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Nakamura, Masatoshi, Satoru Goto, and Nobuhiro Kyura. "2 Mathematical Model Construction of a Mechatronic Servo System." In Lecture Notes in Control and Information Sciences, 17–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39921-6_2.

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Fan, Na, Gangfei Feng, Yanwei Tan, Jie Zou, and Bei Peng. "A Mathematical Model Coupled with Interstitial Flow Predicting the Evolution of Vascular Network." In Proceedings of the Eighth Asia International Symposium on Mechatronics, 2123–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1309-9_197.

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Donisan, Evelina, and Nicolae Băran. "Mathematical Model for Determining the Contour of a New Type of Profiled Rotor." In Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics - 2017, 11–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63091-5_2.

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Samal, M. K. "Numerical Simulation of High Temperature Deformation Behavior of Nickel-Based Superalloys Using Crystal Plasticity Models and Finite Element Method." In Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics, 414–46. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1639-2.ch020.

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Development of reliable computational models to predict the high temperature deformation behavior of nickel based super-alloys is in the forefront of materials research. These alloys find wide applications in manufacturing of turbine blades and discs of aircraft engines. The micro-structure of these alloys consists of the primary gamma-prime phase and the secondary and tertiary precipitates (of Ni3Al type) are dispersed as gamma-prime phases in the gamma-matrix. It is computationally expensive to incorporate the explicit finite element model of the micro-structure in a crystal plasticity based constitutive framework to simulate the response of the polycrystalline micro-structure. Existing models in literature do not account for these underlying micro-structural features which are important for simulation of polycrystalline response. The aim of this chapter is to present a physically-motivated multi-scale approach for simulation of high temperature response of Nickel-based super-alloys. At the lower length scale, a dislocation density based crystal plasticity model is developed which simulates the response of various types of micro-structures. The micro-structures are designed with various shapes and volume fractions of gamma-prime precipitates. A new model for simulation of the mechanism of anti-phase boundary shearing of the gamma-prime precipitates, by the matrix dislocations, is presented in this chapter. The lower scale model is homogenized as a function of various micro-structural parameters and the homogenized model is used in the next scale of multi-scale simulation. In addition, a new criterion for initiation of micro-twin and a constitutive model for twin strain accumulation are developed. This new micro-twin model along with the homogenized crystal plasticity model has been used to simulate the creep response of a single crystal nickel-based super-alloy and the results have been compared with those of experiment from literature. It was observed that the new model has been able to model the tension-compression asymmetry as observed in single crystal experiments.
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Jayabalan, Jagan, Dalkilic Yildirim, Dookie Kim, and Pijush Samui. "Design Optimization of a Wind Turbine Using Artificial Intelligence." In Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics, 38–66. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1639-2.ch003.

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This chapter examines the capability of Support Vector Machine (SVM), Relevance Vector Machine (RVM) and Genetic Programming (GP) for the optimal design of wind turbine. The excellent design has been influenced by various factors, such as profile of the blade, number of blades, power factor and tip speed ratio. The key to design a wind turbine is to Assessing the optimal tip speed ratio (TSR) is the key for designing the wind turbine. This chapter handles the Artificial Intelligence techniques in predicting the optimal TSR and the power factor based on the parameters engaged for NACA 4415 and LS-1 profile types with 3 and 4 blades. The organized machine learning framework is anticipated to be lucrative than the traditional way in foretelling the TSR and power factor. The machine learning models are then compared with the existing Neural Network model and the pros and cons of the various models are inferred from the results.
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Singh, Anuraj. "Journey from Order to Chaos and Returning." In Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics, 379–89. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1639-2.ch018.

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In this chapter, different aspects have been described to investigate the ecological system with respect to several factors that may be responsible for emergence of complex behaviors. Some mathematical models incorporate time delay(s) such as delay due to maturation, gestation and other kinds of negative feedback. These nonlinear delay models have led to complexities in the system. The emphasis is to explore the complex dynamical behaviors including chaos in ecological models with respect to different control parameters. Motivation behind synchronization and stabilization of chaos in the system has also been emphasized. Hence, in this chapter attempts have been made to study order and chaos in variety of models applicable to multi-species ecological systems. Such a study is important since the ecological systems have all the necessary ingredients to be able to support chaos. The attempt is made to brief different mechanism that may bring order into chaotic systems or vice versa.
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Versaci, Mario, and Francesco Carlo Morabito. "Membrane Micro Electro-Mechanical Systems for Industrial Applications." In Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics, 139–75. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0137-5.ch007.

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The objective of this chapter is to provide the analytical-numerical tools for the simplified rewriting of the most important mathematical models of MEMS membrane devices for Mechatronics, exploiting advanced concepts and results in the theory of curves and surfaces. Moreover, when the solution in closed form could not be obtained (that is, it is impossible to obtain the membrane deflection analytically), some consolidated techniques will be described both to obtain conditions ensuring existence/uniqueness of the solution, and the most suitable approaches for obtaining numerical solutions in the absence of ghost solutions. Finally, some practical examples will illustrate the approaches presented.
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Bonikila, Pradeep Reddy, Ravi Kumar Mandava, and Pandu Ranga Vundavilli. "Development of Path Tracking Control Algorithm for a 4 DOF Spatial Manipulator Using PID Controller." In Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics, 314–27. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1639-2.ch015.

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The path tracking phenomenon of a robotic manipulator arm plays an important role, when the manipulators are used in continuous path industrial applications, such as welding, machining and painting etc. Nowadays, robotic manipulators are extensively used in performing the said tasks in industry. Therefore, it is essential for the manipulator end effector to track the path designed to perform the task in an effective way. In this chapter, an attempt is made to develop a feedback control method for a 4-DOF spatial manipulator to track a path with the help of a PID controller. In order to design the said controller, the kinematic and dynamic models of the robotic manipulator are derived. Further, the concept of inverse kinematics has been used to track different paths, namely a straight line and parabolic paths continuously. The effectiveness of the developed algorithm is tested on a four degree of freedom manipulator arm in simulations.
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Nechval, N. A., and K. N. Nechval. "Efficient Planning." In Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics, 328–49. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1639-2.ch016.

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The main aim of this chapter is to present more accurate stochastic fatigue models for solving the fatigue reliability problems, which are attractively simple and easy to apply in practice for situations where it is difficult to quantify the costs associated with inspections and undetected cracks. From an engineering standpoint the fatigue life of a structure consists of two periods: (i) crack initiation period, which starts with the first load cycle and ends when a technically detectable crack is presented, and (ii) crack propagation period, which starts with a technically detectable crack and ends when the remaining cross section can no longer withstand the loads applied and fails statically. Periodic inspections of aircraft, which are common practice in order to maintain their reliability above a desired minimum level, are based on the conditional reliability of the fatigued structure. During the period of crack initiation, when the parameters of the underlying lifetime distributions are not assumed to be known, for efficient in-service inspection planning (with decreasing intervals as alternative to constant intervals often used in practice for convenience in operation), the pivotal quantity averaging (PQA) approach is offered. During the period of crack propagation (when the damage tolerance situation is used), the approach, based on an innovative crack growth equation, to efficient in-service inspection planning (with decreasing intervals between sequential inspections) is proposed to construct more accurate reliability-based inspection strategy in this case. To illustrate the suggested approaches, numerical examples are given.
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Fijalkowski, B. T. "Algorithm for a formulation of the mathematical model." In Mechatronics: Dynamical systems approach and theory of holors. IOP Publishing, 2016. http://dx.doi.org/10.1088/978-0-7503-1350-6ch4.

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Conference papers on the topic "Mechatronics – Mathematical models"

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Rui Gao, Juanyi Yu, Mingjun Zhang, and Tzyh-Jong Tarn. "Mathematical models of protein secondary structures and gene mutation." In 2009 International Conference on Mechatronics and Automation (ICMA). IEEE, 2009. http://dx.doi.org/10.1109/icma.2009.5246578.

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Ioannou, Stelios, Maria C. Argyrou, Paul Christodoulides, Marios Raspopoulos, Mohamed Darwish, and Christos C. Marouchos. "Modulation Processes and Mathematical Models of the TCR." In 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2021. http://dx.doi.org/10.1109/iceccme52200.2021.9591093.

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Burlikowski, Wojciech, and Krzysztof Kluszczynski. "Comparison of different mathematical models of an electromechanical actuator." In 2012 9th France-Japan & 7th Europe-Asia Congress on Mechatronics (MECATRONICS) / 13th Int'l Workshop on Research and Education in Mechatronics (REM). IEEE, 2012. http://dx.doi.org/10.1109/mecatronics.2012.6451040.

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Hernandez-Marquez, Eduardo, Ramon Silva-Ortigoza, Hind Taud, Griselda Saldana-Gonzalez, and Mariana Marcelino-Aranda. "New Mathematical Models for the DC/DC Boost Converter." In 2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). IEEE, 2018. http://dx.doi.org/10.1109/icmeae.2018.00036.

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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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Hernandez-Marquez, Eduardo, Ramon Silva-Ortigoza, Jose Rafael Garcia-Sanchez, Mayra Antonio-Cruz, Hind Taud, Fernando Carrizosa-Corral, and Mariana Marcelino-Aranda. "Alternative Mathematical Models for the DC/DC Buck-Boost Converter." In 2017 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). IEEE, 2017. http://dx.doi.org/10.1109/icmeae.2017.23.

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Waindok, A., and G. Mazur. "A mathematical and physical models of the three-stage reluctance accelerator." In 2009 2nd International Students Conference on Electrodynamic and Mechatronics (SCE 11). IEEE, 2009. http://dx.doi.org/10.1109/iscon.2009.5156100.

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Benderskaya, Elena N. "Mathematical Models of Quality Estimating of Change Point Detection Algorithm for Random Processes." In 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2021. http://dx.doi.org/10.1109/iceccme52200.2021.9590914.

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Wagner, John, Cecil Huey, and Katie Knaub. "Clock Mechanism Fundamentals for Education: Modeling and Analysis." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2100.

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Time keeping devices have been designed, fabricated, and widely deployed throughout history to regulate daily functions including commerce and transportation. In addition, horology offers a catalog of mankind’s innovation and demonstrates important scientific and engineering concepts. The investigation and analysis of clock systems from a mechatronics perspective illustrates the evolution of gear systems, feedback control, and transformation of energy for time measurement. In this paper, the operational behavior of an eight day mechanical clock has been studied through mathematical models, numerical simulation, and computer animation. The classroom exploration of time keeping mechanisms offers practical applications of physical principles.
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Vantsevich, Vladimir V., and Jesse R. Paldan. "Mechatronics-Based Analysis of a 4x4 Vehicle Lateral Dynamics With Passive and Active Drivelines." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9683.

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This paper presents a mechatronic modeling analysis of a 4×4 hybrid-electric vehicle (HEV) which uses an active driveline system connected to the hybrid powertrain. This active driveline uses a power-splitting device, named a Hybrid-Electric Power-Transmitting Unit (HE-PTU) to control the power split between the front and rear axles. The mathematical model of the active driveline along with two passive drivelines demonstrates the coupling of driveline-steering-system influenced lateral dynamics of the vehicle. Thus, a more flexible, active driveline is able to effectively decouple the driveline and steering systems by producing a compensating torque that influences the tire lateral forces and thus vehicle lateral dynamics. Because of the multiple domains involved in modeling the HE-PTU, a mechatronics-based modeling solution is required to demonstrate the advantage of the active driveline. The mechatronics-based simulation results show how use of the active driveline with a hybrid-electric power transmitting unit can improve the vehicle’s turnability and stability characteristics.
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Reports on the topic "Mechatronics – Mathematical models"

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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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