Relevant bibliographies by topics / Mechanical dynamic systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mechanical dynamic systems'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Mechanical dynamic systems"

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Dolgin, V. P. "Dynamic diagnostics of mechanical manufacturing systems." Journal of Mathematical Sciences 82, no. 2 (November 1996): 3316–19. http://dx.doi.org/10.1007/bf02363992.

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Wu, Zhe, Guang Yang, Qiang Zhang, Shengyue Tan, and Shuyong Hou. "Information Dynamic Correlation of Vibration in Nonlinear Systems." Entropy 22, no. 1 (December 31, 2019): 56. http://dx.doi.org/10.3390/e22010056.

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In previous studies, information dynamics methods such as Von Neumann entropy and Rényi entropy played an important role in many fields, covering both macroscopic and microscopic studies. They have a solid theoretical foundation, but there are few reports in the field of mechanical nonlinear systems. So, can we apply Von Neumann entropy and Rényi entropy to study and analyze the dynamic behavior of macroscopic nonlinear systems? In view of the current lack of suitable methods to characterize the dynamics behavior of mechanical systems from the perspective of nonlinear system correlation, we propose a new method to describe the nonlinear features and coupling relationship of mechanical systems. This manuscript verifies the above hypothesis by using a typical chaotic system and a real macroscopic physical nonlinear system through theory and practical methods. The nonlinear vibration correlation in multi-body mechanical systems is very complex. We propose a full-vector multi-scale Rényi entropy for exploring the chaos and correlation between the dynamic behaviors of mechanical nonlinear systems. The research results prove the effectiveness of the proposed method in modal identification, system dynamics evolution and fault diagnosis of nonlinear systems. It is of great significance to extend these studies to the field of mechanical nonlinear system dynamics.
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Auslander, David M. "Dynamic Systems and Control Division." Mechanical Engineering 135, no. 06 (June 1, 2013): S21—S22. http://dx.doi.org/10.1115/1.2013-jun-10.

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This article presents in depth the history activities of the Dynamic Systems and Control Division (DSCD) in the last 20 years. The 10 most cited papers from this 20-year period have been discussed in the article. Of these 10 papers, 4 of them are review or survey articles. The topics vary, showing the scope of DSCD’s activities: system identification, time delay systems, multivehicle control, and elastic manipulator arms. The most cited article is about nanotechnology; other areas represented are machine tool control, mechanical control to minimize vibrations, automotive, and piezoelectric actuators. These papers do stay true to the mechanical engineering roots of the DSCD. Other than the paper on time-delay systems, all of these papers directly reference mechanical systems. Some are application specific and others refer to specific classes of mechanical systems such as flexible manipulators.
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Colbaugh, R., E. Barany, and K. Glass. "Adaptive stabilization of uncertain nonholonomic mechanical systems." Robotica 16, no. 2 (March 1998): 181–92. http://dx.doi.org/10.1017/s0263574798000514.

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This paper presents a new adaptive controller as a solution to the problem of stabilizing nonholonomic mechanical systems in the presence of incomplete information concerning the system dynamic model. The proposed control system consists of two su bsystems: a slightly modified version of the kinematic stabilization strategy of M'Closkey and Murray which generates a desired velocity trajectory for the nonholonomic system, and an adaptive control scheme which ensures that this velocity trajector y is accurately tracked. This approach is shown to provide arbitrarily accurate stabilization to any desired configuration and can be implemented with no knowledge of the system dynamic model. The efficacy of the proposed stabilization strategy is illustr ated through extensive computer simulations with nonholonomic mechanical systems arising from explicit constraints on the system kinematics and from symmetries of the system dynamics.
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Wen, Bang Chun, Zhao Hui Ren, Qing Kai Han, Xiao Peng Li, and Ju Quan Mao. "Nonlinear Dynamics of Mechanical Systems with Sectional Frictions." Key Engineering Materials 353-358 (September 2007): 754–57. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.754.

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This paper presents mainly the nonlinear dynamics of the mechanical system with sectional frictions and combination friction coefficients. It is clear that the nonlinear dynamic characteristics of mechanical systems with sectional frictions are quite different from those of classical machinery, and have more precise and valuable in many practical projects. The expressions of various nonlinear forces are given firstly and the approximation solutions of the system are found with asymptotic method in nonlinear theory, and the combination friction coefficients and damping coefficients of the materials are obtained. Then some nonlinear dynamic characteristics of the system with sectional frictions are also discussed. The results are very important for designers of these machines.
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Dinc, O. S., R. Cromer, and S. J. Calabrese. "Redesigning Mechanical Systems for Low Wear Using System Dynamics Modeling." Journal of Tribology 118, no. 2 (April 1, 1996): 415–22. http://dx.doi.org/10.1115/1.2831318.

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This work describes a method of minimizing wear and extending the life of machinery components and large, complex machine structures by controlling the overall system dynamics. The method consists of the following steps: first, developing a system dynamics model for the entire machine structure using available rigid multi-body dynamic analysis computer codes; second, obtaining dynamic performance data from the system dynamics model for each sliding contact in the actual machine, and feeding this information into a suitable wear model which is either being used or developed for the particular material combination; third, matching the results of the wear prediction with actual machine wear inspection data; and last and most important, returning to the dynamic analysis model and modifying or redesigning the machine to minimize the intensity of the system dynamics, thus extending the wear life of the components. The method is being developed for application to large, complex machines which have numerous sliding contacts. Many of these contacts are at junctions between subcomponents assembled together. These junctions are often designed to accommodate relative motion due to vibration or thermal mismatches. After the initial analyses have been done, both minor and major mechanical design and material changes must be investigated to determine how effectively these could reduce wear. Each successive configuration can be evaluated using the dynamic analysis model. Application of this approach to the mechanical design of a gas turbine combustor reduced the noise level of the entire system and tripled the average machine life.
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Juang, Jer-Nan, Shih-Chin Wu, Minh Phan, and Richard W. Longman. "Passive dynamic controllers for nonlinear mechanical systems." Journal of Guidance, Control, and Dynamics 16, no. 5 (September 1993): 845–51. http://dx.doi.org/10.2514/3.21091.

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Ciobanu, Gabriel, and Dănuţ Rusu. "Kinematics of Mechanical Systems by Dynamic Geometry." Mathematics 10, no. 23 (November 25, 2022): 4457. http://dx.doi.org/10.3390/math10234457.

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The advancement of technology influenced the development of mechanical and mechatronic systems. This article presents the integration of new technologies into traditional mechanics. Specifically, it presents a flexible interactive software for dynamic plane geometry used for designing, simulating and analyzing the mechanical systems. The article presents this interactive software for dynamic geometry as a useful tool for the kinematic analysis of constrained linkages. The simulation and kinematic analysis of some mechanical systems are presented.
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SHI, F., P. RAMESH, and S. MUKHERJEE. "DYNAMIC ANALYSIS OF MICRO-ELECTRO-MECHANICAL SYSTEMS." International Journal for Numerical Methods in Engineering 39, no. 24 (December 30, 1996): 4119–39. http://dx.doi.org/10.1002/(sici)1097-0207(19961230)39:24<4119::aid-nme42>3.0.co;2-4.

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Øysaed, Harry. "Dynamic mechanical properties of multiphase acrylic systems." Journal of Biomedical Materials Research 24, no. 8 (August 1990): 1037–48. http://dx.doi.org/10.1002/jbm.820240806.

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Dissertations / Theses on the topic "Mechanical dynamic systems"

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Davison, Paul. "Dynamic analysis of flexible multibody mechanical systems." Thesis, University of Bath, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261035.

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Tariku, Fitsum. "Simulation of dynamic mechanical systems with stick-slip friction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0011/MQ38415.pdf.

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Yunt, Mehmet 1975. "Nonsmooth dynamic optimization of systems with varying structure." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65284.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 357-365).
In this thesis, an open-loop numerical dynamic optimization method for a class of dynamic systems is developed. The structure of the governing equations of the systems under consideration change depending on the values of the states, parameters and the controls. Therefore, these systems are called systems with varying structure. Such systems occur frequently in the models of electric and hydraulic circuits, chemical processes, biological networks and machinery. As a result, the determination of parameters and controls resulting in the optimal performance of these systems has been an important research topic. Unlike dynamic optimization problems where the structure of the underlying system is constant, the dynamic optimization of systems with varying structure requires the determination of the optimal evolution of the system structure in time in addition to optimal parameters and controls. The underlying varying structure results in nonsmooth and discontinuous optimization problems. The nonsmooth single shooting method introduced in this thesis uses concepts from nonsmooth analysis and nonsmooth optimization to solve dynamic optimization problems involving systems with varying structure whose dynamics can be described by locally Lipschitz continuous ordinary or differential-algebraic equations. The method converts the infinitedimensional dynamic optimization problem into an nonlinear program by parameterizing the controls. Unlike the state of the art, the method does not enumerate possible structures explicitly in the optimization and it does not depend on the discretization of the dynamics. Instead, it uses a special integration algorithm to compute state trajectories and derivative information. As a result, the method produces more accurate solutions to problems where the underlying dynamics is highly nonlinear and/or stiff for less effort than the state of the art. The thesis develops substitutes for the gradient and the Jacobian of a function in case these quantities do not exist. These substitutes are set-valued maps and an elements of these maps need to be computed for optimization purposes. Differential equations are derived whose solutions furnish the necessary elements. These differential equations have discontinuities in time. A numerical method for their solution is proposed based on state event location algorithms that detects these discontinuities. Necessary conditions of optimality for nonlinear programs are derived using these substitutes and it is shown that nonsmooth optimization methods called bundle methods can be used to obtain solutions satisfying these necessary conditions. Case studies compare the method to the state of the art and investigate its complexity empirically.
by Mehmet Yunt.
Ph.D.
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Orbak, Âli Yurdun 1970. "Identification and self-tuning control of dynamic systems." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35457.

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Ding, Huali. "Dynamic wear models for gear systems." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1194025602.

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Ospanov, Asset. "DELAY DIFFERENTIAL EQUATIONS AND THEIR APPLICATION TO MICRO ELECTRO MECHANICAL SYSTEMS." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5674.

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Delay differential equations have a wide range of applications in engineering. This work is devoted to the analysis of delay Duffing equation, which plays a crucial role in modeling performance on demand Micro Electro Mechanical Systems (MEMS). We start with the stability analysis of a linear delay model. We also show that in certain cases the delay model can be efficiently approximated with a much simpler model without delay. We proceed with the analysis of a non-linear Duffing equation. This model is a significantly more complex mathematical model. For instance, the existence of a periodic solution for this equation is a highly nontrivial question, which was established by Struwe. The main result of this work is to establish the existence of a periodic solution to delay Duffing equation. The paper claimed to establish the existence of such solutions, however their argument is wrong. In this work we establish the existence of a periodic solution under the assumption that the delay is sufficiently small.
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Shi, Zhenghong. "Nonlinear Time-varying Dynamic Modeling of Vehicle Driveline Systems with Emphasis on Hypoid Gear Excitation and Response." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1490355055106922.

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Moody, Seth S. "Development of Dynamic Thermal Performance Metrics For Eco-roof Systems." Thesis, Portland State University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1535587.

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In order to obtain credit for an eco-roof in building energy load calculations the steady state and time-varying thermal properties (thermal mass with evapotranspiration) must be fully understood. The following study presents results of experimentation and modeling in an effort to develop dynamic thermal mass performance metrics for eco-roof systems. The work is focused on understanding the thermal parameters (foliage & soil) of an eco-roof, further validation of the EnergyPlus Green Roof Module and development of a standardized metric for assessing the time-varying thermal benefits of eco-roof systems that can be applied across building types and climate zones.

Eco-roof foliage, soil and weather parameters were continuously collected at the Green Roof Integrated PhotoVoltaic (GRIPV) project from 01/20/2011 to 08/28/2011. The parameters were used to develop an EnergyPlus eco-roof validation model. The validated eco-roof model was then used to estimate the Dynamic Benefit for Massive System (DBMS) in 4 climate-locations: Portland Oregon, Chicago Illinois, Atlanta Georgia and Houston Texas.

GRIPV30 (GRIPV soil with 30% soil organic matter) was compared to 12 previously tested eco-roof soils. GRIPV30 reduced dry soil conductivity by 50%, increased field capacity by 21% and reduced dry soil mass per unit volume by 60%. GRIPV30 soil had low conductivity at all moisture contents and high heat capacity at moderate and high moisture content. The characteristics of the GRIPV30 soil make it a good choice for moisture retention and reduction of heat flux, improved thermal mass (heat storage) when integrating an eco-roof with a building.

Eco-roof model validation was performed with constant seasonal moisture driven soil properties and resulted in acceptable measured - modeled eco-roof temperature validation. LAI has a large impact on how the Green Roof Module calculates the eco-roof energy balance with a higher impact on daytime (measured - modeled) soil temperature differential and most significant during summer.

DBMS modeling found the mild climates of Atlanta Georgia and Houston Texas with eco-roof annual DBMS of 1.03, 3% performance improvement above the standard building, based on cooling, heating and fan energy consumption. The Chicago Illinois climate with severe winter and mild spring/summer/fall has an annual DBMS of 1.01. The moderate Portland Oregon climate has a below standard DBMS of 0.97.

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Tubilla, Kuri Fernando. "Dynamic scheduling of manufacturing systems with setups and random disruptions." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67606.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 249-256).
Manufacturing systems are often composed of machines that can produce a variety of items but that most undergo time-consuming (and possibly costly) setups when switching between product types. Scheduling these setups efficiently can have important economic effects on the performance of the plant and involves a tradeoff between throughput, inventory, and operating costs. In addition, the schedule must be robust to random disruptions such as failures or raw material shortages, which are common in production environments. In this thesis, we study policies that address the setup scheduling problem dynamically, in response to current conditions in the system. A new heuristic, called the Hedging Zone Policy (HZP), is introduced and developed. It is a dynamic-sequence policy that always produces the current part type at its maximum production rate until a fixed base stock level is reached. Then, before switching setups, the policy might produce the current part type at its demand rate for some additional time. When selecting changeovers, the HZP implements two types of decision rules. If the difference between base stock and surplus level is small for all part types, the item with the largest weighted difference is selected. Otherwise, the policy uses a fixed priority ranking to select between items that are far from their base stock value. In order to demonstrate the benefits of our policy, we also adapt and implement several other heuristics that have been proposed in the literature for related models. The policies are first analyzed in a purely deterministic setting. The stability of the HZP is addressed and it is shown that a poor selection of its parameters leads to a condition in which some low-priority parts are ignored, resulting in an unstable system. Using Lyapunov's direct method, we obtain an easy-to-evaluate and not-too-conservative condition that ensures production of all part types with bounded surplus. We then compare, through a series of extensive numerical experiments with three-part-type systems, the deterministic performance of the policies in both make-to-order and make-to-stock settings. We show that the HZP outperforms other policies within its class in both cases, a fact that is mainly attributed to its priority-based decisions. When compared to the approximate optimal cost of the problem, our policy performs very well in the make-to-order case, while the simplicity of its base stock structure makes it less competitive in the deterministic make-to-stock problem. The results are then leveraged for the study of a stochastic model, where we consider the effect of random disruptions in the form of machine failures. We prove that our model converges to a fluid limit under an appropriate scaling. This fact allows us to employ our deterministic stability conditions to verify the stochastic (rate) stability of the failure-prone system. We also extend our previous numerical experiments by characterizing the performance of the policies in the stochastic setting. The results show that the HZP still outperforms other policies in the same class. Furthermore, we find that except for cases where failures occur much less or much more frequently than changeovers, the HZP outperforms a fixed-sequence policy that is designed to track a pre-determined, near-optimal deterministic schedule.
by Fernando Tubilla.
Ph.D.
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Lee, Sungho Ph D. Massachusetts Institute of Technology. "Dynamic response analysis of spar buoy floating wind turbine systems." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46545.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (leaves 83-84).
The importance of alternative energy development has been dramatically increased by the dwindling supplies of oil and gas, and our growing efforts to protect our environment. A variety of meaningful steps have been taken in order to come up with cleaner, healthier and more affordable energy alternatives. Wind energy is one of the most reliable energy alternatives for countries that have sufficiently large wind sources. Due to the presence of steady and strong winds, and the distance from coastline residential, the offshore wind farm has become highly attractive as an ideal energy crisis solution. Floating wind turbine systems are being considered as a key solution to make the offshore wind farm feasible from an economic viewpoint, and viable as an energy resource. This paper presents the design of a synthetic mooring system for spar buoy floating wind turbines functioning in shallow water depths. Nacelle acceleration, static and dynamic tensions on catenaries, the maximum tension acting on the anchors are considered as design performances, and a stochastic analysis method has been used to evaluate those quantities based on sea state spectral density functions. The performance at a 100-year hurricane condition is being defined as a limiting case, and a linear wave theory has been the most fundamental theory applied for the present analysis.
by Sungho Lee.
S.M.
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Books on the topic "Mechanical dynamic systems"

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Angeles, Jorge. Dynamic Response of Linear Mechanical Systems. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1027-1.

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Agrawal, Sunil Kumar. Optimization of Dynamic Systems. Dordrecht: Springer Netherlands, 1999.

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Agrawal, Sunil Kumar. Optimization of dynamic systems. Dordrecht: Kluwer Academic Publishers, 1999.

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Matasov, A. I. Estimators for Uncertain Dynamic Systems. Dordrecht: Springer Netherlands, 1998.

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L, Junkins John, ed. Optimal estimation of dynamic systems. 2nd ed. Boca Raton, FL: Chapman and Hall/CRC, 2011.

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H, Richardson Herbert, Nelson Clayton C, American Society of Mechanical Engineers. Steering Committee on Dynamic Systems and Control., and American Society of Mechanical Engineers., eds. Research needs in dynamic systems and control. New York, NY (345 E. 47th St., New York 10017): American Society of Mechanical Engineers, 1988.

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Esfandiari, Ramin S. Modeling and analysis of dynamic systems. Boca Raton: Taylor & Francis, 2010.

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1974-, Lu Bei, ed. Modeling and analysis of dynamic systems. Boca Raton: Taylor & Francis, 2010.

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service), SpringerLink (Online, ed. Dynamic Response of Linear Mechanical Systems: Modeling, Analysis and Simulation. Boston, MA: Springer Science+Business Media, LLC, 2012.

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A, Rothbart Harold, and Brown Thomas H. Jr, eds. Mechanical design handbook: Measurement, analysis, and control of dynamic systems. 2nd ed. New York: McGraw-Hill, 2006.

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Book chapters on the topic "Mechanical dynamic systems"

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Esfandiari, Ramin S., and Bei Lu. "Mechanical Systems." In Modeling and Analysis of Dynamic Systems, 169–261. Third edition. | Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22138-5.

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Skowronski, Janislaw M. "Dynamic Games." In Control of Nonlinear Mechanical Systems, 368–405. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3722-9_8.

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Darbyshire, Alan, and Charles Gibson. "Mechanical principles of dynamic engineering systems." In Mechanical Engineering, 75–185. 4th ed. London: Routledge, 2022. http://dx.doi.org/10.1201/9781003256571-2.

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Findeisen, Dietmar. "Theory of Dynamic Systems." In System Dynamics and Mechanical Vibrations, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04205-2_1.

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White, K. Preston. "Mathematical Models of Dynamic Physical Systems." In Mechanical Engineers' Handbook, 300–382. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471777455.ch10.

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Srinivasan, Krishnaswamy. "State-Space Methods for Dynamic Systems Analysis." In Mechanical Engineers' Handbook, 717–56. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471777455.ch17.

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Vulfson, Iosif. "Dynamic Models of Cyclic Mechanical Systems." In Foundations of Engineering Mechanics, 17–39. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12634-0_2.

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Wijker, Jaap. "Random Vibration of Linear Dynamic Systems." In Mechanical Vibrations in Spacecraft Design, 201–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08587-5_11.

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Wijker, Jaap. "Free-free Dynamic Systems, Inertia Relief." In Mechanical Vibrations in Spacecraft Design, 303–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08587-5_14.

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Wu, Chongjian. "WPA for Analyzing Hybrid Dynamic Systems." In Springer Tracts in Mechanical Engineering, 131–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7237-1_5.

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Conference papers on the topic "Mechanical dynamic systems"

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Chopra, Nikhil, and YenChen Liu. "Controlled Synchronization of Mechanical Systems." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2267.

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In this paper we study the problem of synchronization and trajectory tracking in mechanical systems. Exploiting output synchronization results developed previously, a control algorithm is developed to guarantee output synchronization in addition to trajectory tracking in mechanical systems. The classical Slotine-Li adaptive trajectory tracking algorithm is modified to synchronize mechanical systems following a common trajectory. The robustness of the proposed scheme to time delays in communication is also discussed. A numerical example is presented to verify the efficacy of the proposed results.
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Cheng, Hongtai, Heping Chen, Xiaohua Zhang, and Hongjun Chen. "Dynamic Servo Control for Underactuated Mechanical Systems." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87659.

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Due to the lack of control inputs, the motion range and application areas of underactuated mechanical system are greatly limited. To overcome such difficulties, the arbitrary state point dynamic tracking problem named dynamical servo control is discussed in this paper. Considering simplicity and repeatability, periodic trajectory is the best way leading to the desired point. Virtual constraints concept is employed and a target oriented trajectory planning procedure is proposed, which can generate periodic dynamic compatible and desired point crossing trajectory. A Lyapunov based tracking controller is proposed to avoid the strict conditions for using a traditional LQR based method. Experiments are performed on an Acrobot prototype and verify the correctness of the proposed periodic trajectory generating method and the effectiveness of the tracking controller.
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Woo, Hanseung, and Kyoungchul Kong. "Impedance Reduction Controller Design for Mechanical Systems." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3737.

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Safety is one of important factors in control of mechatronic systems interacting with humans. In order to evaluate the safety of such systems, mechanical impedance is often utilized as it indicates the magnitude of reaction forces when the systems are subjected to motions. Namely, the mechatronic systems should have low mechanical impedance for improved safety. In this paper, a methodology to design controllers for reduction of mechanical impedance is proposed. For the proposed controller design, the mathematical definition of the mechanical impedance for open-loop and closed-loop systems is introduced. Then the controllers are designed for stable and unstable systems such that they effectively lower the magnitude of mechanical impedance with guaranteed stability. The proposed method is verified through case studies including simulations.
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Liang, Changwei, You Wu, and Lei Zuo. "Vibration Energy Harvesting System With Mechanical Motion Rectifier." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9837.

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Mechanical motion rectifier (MMR) has been used as power takeoff system to harvest energy for different applications. The dynamics of single degree of freedom energy harvesting system with MMR is piecewise linear due to the engagement and disengagement of one-way clutches. The energy harvesting performance of single degree of freedom system with MMR under force and motion excitation are studied and compared with ideal linear damping and non-MMR system in this paper. Under harmonic force and motion excitation, the optimal excitation frequency and output power of MMR system is less sensitive to the power takeoff inertia compared with non-MMR system. Furthermore, the output power of MMR system under harmonic motion excitation is larger than non-MMR system. The performance index of MMR, non-MMR and linear damping systems are compared under random excitation. It is found that MMR system has a better performance over both non-MMR and linear damping system, which makes it a better choice for energy harvesting.
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Kirimoto, Atsushi, Hiroaki Ito, Mitsuhiro Horade, Toshio Takayama, Misato Chimura, Tomohito Ohtani, Yasushi Sakata, and Makoto Kaneko. "On-Chip Dynamic Mechanical Measurement." In 2019 IEEE 32nd International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2019. http://dx.doi.org/10.1109/memsys.2019.8870789.

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Wang, Shuo, Hyunglae Lee, and Neville Hogan. "Ankle Mechanical Impedance Under Muscle Fatigue." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-4060.

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This paper reports preliminary results on the effects of ankle muscle fatigue on ankle mechanical impedance. The experiment was designed to induce fatigue in the Tibialis Anterior and Triceps Surae muscle group by asking subjects to perform isometric contractions against a constant ankle torque generated by the Anklebot, a backdriveable robot that interacts with the ankle in two degrees of freedom. Median frequencies of surface electromyographic signals collected from Tibialis Anterior and Triceps Surae muscle group were evaluated to assess muscle fatigue. Using a standard multi-input and multi-output stochastic impedance identification method, multivariable ankle mechanical impedance was measured in two degrees of freedom under muscle fatigue. Preliminary results indicate that, for both Tibialis Anterior and Triceps Surae muscle group, ankle mechanical impedance decreases in both the dorsi-plantarflexion and inversion-eversion directions under muscle fatigue. This finding suggests that decreasing ankle impedance with muscle fatigue may help to develop joint support systems to prevent ankle injuries caused by muscle fatigue.
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Yuan, L., and J. Rastegar. "On the Dynamic Behavior of High Speed Mechanical Systems." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8674.

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Abstract This article reports a study of the steady state behavior of mechanical systems with nonlinear dynamics in the presence of dynamic response limitations of the actuation mechanism and in the presence of structural flexibility. In particular, the effects of such dynamic response limitations on the periodicity of the system response are studied and conditions for the existence of periodic solutions are derived. The structural flexibility is shown to increase the number of significant harmonics of the required actuating torques. A number of examples together with computer simulation results verifying the aforementioned results are presented.
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Tan, Yonghong, Ruili Dong, Yanyan Li, Xiang Chen, and Hong He. "Nonsmooth dynamic filtering for mechanical servo-systems." In 2016 12th IEEE International Conference on Control and Automation (ICCA). IEEE, 2016. http://dx.doi.org/10.1109/icca.2016.7505327.

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Potter, T. E., K. D. Willmert, and M. Sathyamoorthy. "Nonlinear Optimal Design of Dynamic Mechanical Systems." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0350.

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Abstract Mechanism path generation problems which use link deformations to improve the design lead to optimization problems involving a nonlinear sum-of-squares objective function subjected to a set of linear and nonlinear constraints. Inclusion of the deformation analysis causes the objective function evaluation to be computationally expensive. An optimization method is presented which requires relatively few objective function evaluations. The algorithm, based on the Gauss method for unconstrained problems, is developed as an extension of the Gauss constrained technique for linear constraints and revises the Gauss nonlinearly constrained method for quadratic constraints. The derivation of the algorithm, using a Lagrange multiplier approach, is based on the Kuhn-Tucker conditions so that when the iteration process terminates, these conditions are automatically satisfied. Although the technique was developed for mechanism problems, it is applicable to any optimization problem having the form of a sum of squares objective function subjected to nonlinear constraints.
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Al-Bedoor, B. O., and Y. A. Khulief. "Dynamic Analysis of Mechanical Systems With Elastic Telescopic Members." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0274.

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Abstract A dynamic model for the vibrational motion of an elastic beam-like telescopic member is presented. In addition to translation, the elastic member is allowed to execute large reference rotation. The Lagrangian approach in conjunction with the assumed modes technique are employed in deriving the equations of motion. The developed model accounts for all the dynamic coupling terms, as well as the stiffening effect due to the beam reference rotation. The tip mass dynamics is included together with the associated dynamic coupling between the modal degrees of freedom. In addition, the devised dynamic model takes into account the gravitational effects, thus permitting motions in either vertical or horizontal planes. Numerical simulation of a mechanical system with an elastic telescopic member is presented.
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Reports on the topic "Mechanical dynamic systems"

1

Haug, Edward J. Dynamic and Design Sensitivity Analysis of Rigid and Elastic Mechanical Systems with Intermittent Motion. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada163982.

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Chen, Xiao, Jaisree Iyer, and Susan Carroll. Dynamic reduced order modelling (ROM) of chemical and mechanical processes in CO2-cement systems. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1476178.

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Wisanrakkit, G., and J. K. Gillham. Effect of Physical Annealing on the Dynamic Mechanical Properties of A High T(g) Amine-Cured Epoxy Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada205980.

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Long, Wendy, Zackery McClelland, Dylan Scott, and C. Crane. State-of-practice on the mechanical properties of metals for armor-plating. Engineer Research and Development Center (U.S.), January 2023. http://dx.doi.org/10.21079/11681/46382.

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This report presents a review of quasi-static and dynamic properties of various iron, titanium, nickel, cobalt, and aluminum metals. The physical and mechanical properties of these materials are crucial for developing composite armoring systems vital for protecting critical bridges from terrorist attacks. When the wide range of properties these materials encompass is considered, it is possible to exploit the optimal properties of metal alloys though proper placement within the armoring system, governed by desired protective mechanism and environmental exposure conditions.
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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the non-recurrent emergence of fundamental new properties absent from the a priori kinematic geometric and statistical features. Unveiling causal mechanisms and eliciting system dynamic predictability under such challenging conditions is not only a fundamental problem in mathematical and statistical physics, but also one of critical importance to dynamic modelling, risk assessment and decision support e.g. regarding non-recurrent critical transitions and extreme events. In order to address these challenges, generalized metrics in non-ergodic information physics are hereby introduced for unveiling elusive dynamics, causality and predictability of complex dynamical systems undergoing far-from-equilibrium structural-functional coevolution. With these methodological developments at hand, hidden dynamic information is hereby brought out and explicitly quantified even beyond post-critical regime collapse, long after statistical information is lost. The added causal insights and operational predictive value are further highlighted by evaluating the new information metrics among statistically independent variables, where traditional techniques therefore find no information links. Notwithstanding the factorability of the distributions associated to the aforementioned independent variables, synergistic and redundant information are found to emerge from microphysical, event-scale codependencies in far-from-equilibrium nonlinear statistical mechanics. The findings are illustrated to shed light onto fundamental causal mechanisms and unveil elusive dynamic predictability of non-recurrent critical transitions and extreme events across multiscale hydro-climatic problems.
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Bloch, Anthony M. Control, Stabilization and Dynamics of Mechanical Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada380932.

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Azene, Muluneh, A. K. Bajaj, and O. D. Nwokah. Structural Dynamics of Nonlinear Mechanical Systems with Cyclic Symmetry. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada391308.

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Sen, Surajit. Dynamics and Control of Mechanical Energy Propagation in Granular Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada587076.

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Hristu, Dimitrios. The Dynamics of a Forced Sphere-Plate Mechanical System. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada439900.

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Holmes, Philip. Nonlinear Dynamical Systems in Mechanics and Biology. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada299148.

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