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Relevant bibliographies by topics / Mechanical system controls

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Academic literature on the topic 'Mechanical system controls'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Mechanical system controls"

1

Sun, J. Q., and Qing Xu. "Response Variance Reduction of a Nonlinear Mechanical System via Sliding Mode Control." Journal of Vibration and Acoustics 120, no. 3 (1998): 801–5. http://dx.doi.org/10.1115/1.2893900.

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An analysis of a target tracking mechanical system subject to random base excitations is presented in this paper. Sliding mode controls are proposed to minimize the random error of target tracking. Two special cases are studied. In the first case, it is assumed that all the system parameters are known and the state variables are measurable. A sliding mode control is then determined. This highly idealized example reveals the effect of sliding mode control parameters on the reduction of response variance and provides a benchmark for designing a robust controller that deals with systems with unkn

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Miki.V, Melvin Paul, S. Prakash, Amarnath M.K.V, and K. Naveen Kumar. "Arduino controller based borewell child rescue system." International Journal of Reconfigurable and Embedded Systems (IJRES) 9, no. 2 (2020): 133. http://dx.doi.org/10.11591/ijres.v9.i2.pp133-140.

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<p><span>In this paper we have proposed a system for rescuing victims of bore well accidents. The proposed system is light in weight compared to existing methods, portable easy to handle and requires lesser manpower. The system design comprises of a four leg metal stand which supports the whole mechanical assemble the stand is of low weight therefore it is easy to transport it does not requires any heavy duty cranes. This stand has a round housing which holds the DC gear motor which controls the up and down motion of a robotic arm as the arm is connected to the motors shaft with pu

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Qu, Zhihua, and Darren M. Dawson. "Lyapunov Direct Design of Robust Control for Electrical-Mechanical Systems Composed of Cascaded Nonlinear Uncertain Subsystems." Journal of Dynamic Systems, Measurement, and Control 117, no. 1 (1995): 54–62. http://dx.doi.org/10.1115/1.2798523.

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Robust control design of nonlinear uncertain systems is investigated. A system under consideration consists of finite nonlinear systems which are cascaded and have significant uncertainties. Such a system arises naturally from many real physical systems, especially mechanical systems. An important feature of these systems is that they do not satisfy the assumption of the standard matching conditions required by most existing robust control results. General classes of cascaded uncertain systems are identified for which robust controllers are obtained explicitly in terms of the bounding function

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Dolgii, Yu F., and I. A. Chupin. "Impulse control of a two-link manipulation robot." Izvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universiteta 57 (May 2021): 77–90. http://dx.doi.org/10.35634/2226-3594-2021-57-02.

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A nonlinear problem of controlling the movements of a two-link manipulation robot is considered. The free mechanical system has two first integrals in involution. Methods of classical mechanics are used for analytical integration of the system of nonlinear differential equations. A trajectory connecting the initial and final positions of the two-link manipulation robot in the configuration space is found. Impulse controls at the initial moment of time impart the necessary energy to the robot to enter this trajectory. Impulse controls are also used to damp the speeds of the robot at the end pos

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Hwang, Jai Hyuk, Doo Man Kim, and Kyoung Ho Lim. "Robustness of Natural Controls of Distributed-Parameter Systems." Journal of Vibration and Acoustics 118, no. 1 (1996): 56–63. http://dx.doi.org/10.1115/1.2889635.

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In this paper, the effect of parameter and spatial discretization errors on the closed-loop behavior of distributed-parameter systems is analyzed for natural controls. If the control force designed on the basis of the postulated system with the parameter and discretization errors is applied to control the actual system, the closed-loop performance of the actual system will be degraded depending on the degree of the errors. The extent of deviation of the closed-loop performance from the expected one is derived and evaluated using operator techniques. It has been found that the extent of the dev

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Martynyuk-Chernienko, Yuliya Anatol'evna, and V. I. Slyn'ko. "Synthesizing Controls for an Uncertain System with a Conditionally Invariant Set." International Applied Mechanics 39, no. 11 (2003): 1343–53. http://dx.doi.org/10.1023/b:inam.0000015607.96194.0b.

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Fu, Tat S., and Erik A. Johnson. "Distributed Mass Damper System for Integrating Structural and Environmental Controls in Buildings." Journal of Engineering Mechanics 137, no. 3 (2011): 205–13. http://dx.doi.org/10.1061/(asce)em.1943-7889.0000211.

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Fish, A. J. "Multiple Solutions for a Class of Continuous Nonlinear Systems." Journal of Dynamic Systems, Measurement, and Control 108, no. 2 (1986): 96–105. http://dx.doi.org/10.1115/1.3143763.

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A nonlinear state space representation of a nonlinear system implies that the system has a unique solution for a given set of initial conditions and system controls. But not all nonlinear systems have unique solutions for a given set of initial conditions and system controls. This paper presents an algebraic theory for solving continuous nonlinear systems equations that have multiple solutions.

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Degani, Asaf, Everett A. Palmer, and Kristin G. Bauersfeld. "“Soft” Controls for Hard Displays: Still a Challenge." Proceedings of the Human Factors Society Annual Meeting 36, no. 1 (1992): 52–56. http://dx.doi.org/10.1177/154193129203600114.

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Future trends in design of controls and displays for cockpit sub-systems (electrical, pneumatics, fuel, etc.), will undoubtedly focus on replacing dedicated “hard” controls with reconfigurable “soft” controls depicted on the sub-system schematic display. This concept would allow for direct manipulation of mechanical components via the display. The case study reported here discusses the approach, redesign, and evaluation of soft controls and multi-functional displays for the Advanced Concepts Flight Simulator (ACFS), a two-engine, “generic” airliner. The redesign effort focused on the input int

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Xie, Liqin, Clinton Rubin, and Stefan Judex. "Enhancement of the adolescent murine musculoskeletal system using low-level mechanical vibrations." Journal of Applied Physiology 104, no. 4 (2008): 1056–62. http://dx.doi.org/10.1152/japplphysiol.00764.2007.

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Mechanical signals are recognized as anabolic to both bone and muscle, but the specific parameters that are critical to this stimulus remain unknown. Here we examined the potential of extremely low-magnitude, high-frequency mechanical stimuli to enhance the quality of the adolescent musculoskeletal system. Eight-week-old female BALB/cByJ mice were divided into three groups: baseline controls (BC, n = 8), age-matched controls (AC, n = 12), and whole body vibration (WBV, n = 12) at 45 Hz (0.3 g) for 15 min/day. Following 6 wk of WBV, bone mineralizing surfaces of trabeculae in the proximal metap

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Dissertations / Theses on the topic "Mechanical system controls"

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Tesciuba, Michele. "A modular design for an undergraduate system dynamic and controls laboratory." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/38748.

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Triska, William J. "Development of basic systems analysis and controls experiments to demonstrate specific theories." Ohio : Ohio University, 1993. http://www.ohiolink.edu/etd/view.cgi?ohiou1176238776.

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Choi, Joon Ho. "CoBi: Bio-Sensing Building Mechanical System Controls for Sustainably Enhancing Individual Thermal Comfort." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/33.

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Current existing thermal control systems are operated based on thermal comfort models generated by regression formulas averaging the thermal responses over data collected during extensive experiments involving panels of human subjects. These models may not be appropriate for an individual whose physiological characteristics happen to be located outside of the main stream from the experimental sample of occupants. By necessity, existing automatic control systems disregard individual characteristics such as health, age, gender, body mass, etc., which may affect physiological responses. Thereby t

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Goupil, Marc Y. "Dynamic Pressure Sensing for the Flight Test Data System." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2115.

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This thesis describes the design, assembly, and test of the FTDS-K, a new device in the Boundary Layer Data System (BLDS) family of flight data acquisition systems. The FTDS-K provides high-frequency, high-gain data acquisition capability for up to two pressure sensors and an additional three low-frequency pressure sensors. Development of the FTDS-K was separated into a core module, specialized analog subsystem, and practical testing of the FTDS-K in a flow measurement mission. The core module combines an nRF52840-based microcontroller module, switching regulator, microSD card, real-time clock

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Noxon, Nikola John Linn. "A MODEL PREDICTIVE CONTROL APPROACH TO ROLL STABILITY OF A SCALED CRASH AVOIDANCE VEHICLE." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/783.

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In this paper, a roll stability controller (RSC) is presented based on an eight degree of freedom dynamic vehicle model. The controller is designed for and tested on a scaled vehicle performing obstacle avoidance maneuvers on a populated test track. A rapidly-exploring random tree (RRT) algorithm is used for the vehicle to execute a trajectory around an obstacle, and examines the geographic, non-homonymic, and dynamic constraints to maneuver around the obstacle. A model predictive controller (MPC) uses information about the vehicle state and, based on a weighted performance measure, generates

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Craig, David. "Modeling and Control of a Magnetically Levitated Microrobotic System." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2844.

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Magnetically levitated microrobotic systems have shown a great deal of promise for micromanipulation tasks. A new large-gap magnetic suspension system has recently been developed at the University of Waterloo in order to develop microrobotic systems for various applications. In order to achieve motion with the system, a model is needed in order to facilitate the design of various aspects of the system, such as the microrobot and the controller. In order to derive equations of motion for the system attempts were made to characterize the force produced by the magnetic drive unit in t

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Yatsko, Margaret Jane. "Development of a Hybrid Vehicle Control System." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1459890202.

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Rowland, James Robert. "Reducing Residential Space Conditioning Costs with Novel HVAC System Design and Advanced Controls." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420018735.

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Henning, Timothy Paul. "Dynamics and controls for an omnidirectional robot." Ohio : Ohio University, 2003. http://www.ohiolink.edu/etd/view.cgi?ohiou1175093596.

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Waal, Steven Robert. "A Quantitative Approach for Tuning a Mountain Bike Suspension." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2271.

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A method for tuning the spring rate and damping rate of a mountain bike suspension based on a data-driven procedure is presented. The design and development of a custom data acquisition system, known as the "MTB DAQ," capable of measuring acceleration data at the front and rear axles of a bike are discussed. These data are input into a model that is used to calculate the vertical acceleration and pitching angular acceleration response of the bike and rider. All geometric and dynamic properties of the bike and rider system are measured and built into the model. The model is tested and validated

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Books on the topic "Mechanical system controls"

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Leonov, Gennadiĭ Alekseevich. Dynamics and control of hybrid mechanical systems. World Scientific, 2010.

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Skowrónski, Janisław M. Control of Nonlinear Mechanical Systems. Springer US, 1991.

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Skowroński, Janisław M. Control of nonlinear mechanical systems. Plenum Press, 1991.

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Skowronski, Janislaw M. Control of Nonlinear Mechanical Systems. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3722-9.

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Bullo, Francesco, and Andrew D. Lewis. Geometric Control of Mechanical Systems. Springer New York, 2005. http://dx.doi.org/10.1007/978-1-4899-7276-7.

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Brogliato, Bernard. Nonsmooth Mechanics: Models, Dynamics and Control. Springer London, 1999.

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Nijmeijer, H. Synchronization of mechanical systems. World Scientific, 2003.

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Moreno-Valenzuela, Javier, and Carlos Aguilar-Avelar. Motion Control of Underactuated Mechanical Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58319-8.

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de Queiroz, Marcio S., Darren M. Dawson, Siddharth P. Nagarkatti, and Fumin Zhang. Lyapunov-Based Control of Mechanical Systems. Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1352-9.

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D, Lewis Andrew, ed. Geometric control of mechanical systems: Modeling, analysis, and design for simple mechanical control systems : monograph. Springer, 2005.

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Book chapters on the topic "Mechanical system controls"

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Dixon, Warren E., Aman Behal, Darren M. Dawson, and Siddharth P. Nagarkatti. "Mechanical Systems." In Nonlinear Control of Engineering Systems. Birkhäuser Boston, 2003. http://dx.doi.org/10.1007/978-1-4612-0031-4_2.

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Skowronski, Janislaw M. "Mechanical Systems." In Control of Nonlinear Mechanical Systems. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3722-9_1.

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Iwai, Toshihiro. "Mechanical Control Systems." In Geometry, Mechanics, and Control in Action for the Falling Cat. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0688-5_3.

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Calabrese, Steven R. "Mechanical Systems and Equipment Overview." In Practical Controls. River Publishers, 2020. http://dx.doi.org/10.1201/9781003151128-2.

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Genta, Giancarlo, and Lorenzo Morello. "Control Systems." In Mechanical Engineering Series. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35635-4_6.

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Gans, Roger F. "Tracking Control." In Mechanical Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08371-1_10.

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Gans, Roger F. "Classical Control." In Mechanical Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08371-1_7.

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Du, Chunling, and Chee Khiang Pang. "Mechanical Actuation Systems." In Multi-Stage Actuation Systems and Control. CRC Press, 2018. http://dx.doi.org/10.1201/9781351062183-1.

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Zak, M. "Chaotic Instability in Mechanical Systems." In Structural Control. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3525-9_50.

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Bullo, Francesco, and Andrew D. Lewis. "Simple mechanical control systems." In Texts in Applied Mathematics. Springer New York, 2005. http://dx.doi.org/10.1007/978-1-4899-7276-7_4.

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Conference papers on the topic "Mechanical system controls"

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Ferrara, Davide, Giovanni Jacazio, Andrea Mornacchi, and Massimo Sorli. "Robust Mechatronic Actuation System for UAV Primary Flight Controls." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85339.

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The paper describes the initial results of a research activity aimed at developing a high integrity mechatronic system for UAVs primary flight controls able to ensure the necessary flight safety and to enhance the system availability by implementing appropriate prognostic functions. In this system a flight control surface is driven by two parallel rollerscrews, on their turn driven by brushless motors equipped with gearhead and clutch; the motors electric drives are controlled by dual redundant electronic units performing closed loop position control as a function of the commands received from

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Wemhoff, Aaron P. "HVAC System Energy Minimization via Optimization of Lumped System Models." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37163.

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Heating, ventilating, and air conditioning (HVAC) systems comprise nearly one third of annual household energy consumption in the United States. Energy savings can be gained by optimizing HVAC performance using a system of controls. This study applies a novel control method towards a system with an arbitrary steady-state load distribution. The new method applies multi-dimensional interpolation of optimized control configurations for various steady-state load distributions. These optimal configurations are derived using a lumped parameter simulation of the HVAC system. The new method is applied

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Crespo, L. G., and J. Q. Sun. "Feedback Linearization of the Lorenz System: Stabilization and Tracking Control." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32404.

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This paper presents a control study of the Lorenz system by using feedback linearization. The effects of the state transformation on the dynamics of the Lorenz system are studied first. Then, composite controllers are developed for both stabilization and tracking of the system. The controls are designed to overcome the barrier in controllability imposed by the state transformation. The transition through the manifold defined by such a singularity is achieved by inducing the chaotic response within a boundary layer that contains the singularity. Outside this region, a conventional feedback nonl

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Dai, X. J., and X. P. Li. "A Stochastic Lotka-Volterra Competitive System With Feedback Controls." In 2015 International Conference on Electrical, Automation and Mechanical Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/eame-15.2015.180.

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Garg, Devendra P., and Piyush Jain. "Fuzzy Logic Based Intelligent Control and Optimal Control of a Rotary Inverted Pendulum System." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33449.

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In this paper a fuzzy logic based control strategy has been applied to balance an inverted pendulum. An inverted pendulum in itself is a highly unstable system since there is always some external disturbance present that makes it to fall. Therefore, to maintain it in an upright position, a control input is needed, that could be in the form of torque, moment or force. Here an inverted pendulum with a rotary arm is chosen for study. The arm is driven in the direction of fall of the pendulum. This action attempts to stabilize the pendulum in the upright configuration. The fuzzy control action con

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Durfee, William, Perry Li, and David Walezko. "At-Home Systems and Controls Laboratory." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82566.

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At-home laboratories are inexpensive hardware kits that students take home and work on much like a problem set. The kits have an embedded microcontroller and communicate to the student’s home PC over a serial port. The home PC provides the needed computational horsepower for experiment control, data collection, data analysis and reporting. The microcontroller handles real-time control tasks. Two first-generation kits were developed, a fourth-order, linear mass-spring-damper system for frequency response and system identification, and an analog filtering system that uses music and synthetic sou

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Wright, Andrew B., and Ann M. Wright. "Novel, Inexpensive Robot for Teaching Controls Engineering." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62245.

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A novel Control and Sensor System (CASSY) has been developed to teach controls engineering to electrical and mechanical students. The inexpensive platform, which can be built for under $1500, has a first order velocity loop and a first order yaw rate loop with friction. A detailed model of the robot allows students to perform system identification and compare with the model. Students can implement PID, digital filter, and state space controllers on the robot, vary constants, measure performance, identify stability, and perform step and sine based system identification on the open and closed lo

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Krosschell, Brian D., Stephen J. Klick, and John J. Moskwa. "Engine Start Simulation on an Engine Transient Test System: Hardware and Controls." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43054.

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The goal of this research is to use a hydrostatic transient dynamometer combined with new control techniques to replicate multi-cylinder engine dynamics which occur while the engine is started by an electric starting system. The transient engine dynamometer test system in the Powertrain Control Research Laboratory (PCRL) uses a torque tube and extremely stiff driveline in order to provide a very high bandwidth of torque actuation. The design and nature of this low inertia, stiff system requires that a standard electrical starting system be omitted. One of the objectives of this research was to

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Aygün, Mehmet Murat, Yiğit Tascıoğlu, Gürsoy Genç, and Mustafa Altunay. "Electro-Mechanical Control Loading System for Rotary Wing Aircraft Simulators." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20495.

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The focus of this paper is on the development of a high-fidelity electro-mechanical Control Loading System (CLS) for a rotary wing aircraft simulator. CLS is one of the major components of a flight simulator. It is used for providing realistic force feedback to pilots. The pilot in a real aircraft feels the forces acting on control surfaces through cockpit controls. During simulation, these forces are produced by CLS actuators. For this reason, CLS must behave exactly like the aircraft control hardware, statically and dynamically. The fidelity of the force feel simulation is a key criterion fo

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Tudor, Sarah M., Stephanie L. Carey, and Rajiv V. Dubey. "The Development of a Dynamic Adaptive Driving Simulator." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-40152.

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The ability to drive a car is an important skill for individuals with a spinal cord injury to maintain a high quality of life, particularly their freedom and independence. However, driving with a physical disability often requires the installation of an adaptive driving system to control steering, gas, and braking. The two main types of adaptive driving controls are mechanical and electrical, also known as drive by wire (DBW). DBW controls work by converting electric signals to mechanical actuators. Driving simulators are useful tools for adaptive driving systems because they allow users to te

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Reports on the topic "Mechanical system controls"

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Bloch, Anthony M. Control, Stabilization and Dynamics of Mechanical Systems. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada380932.

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Baillieul, J. The Nonlinear Control Theory of Complex Mechanical Systems. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada310012.

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Baillieul, John. The Nonlinear Control Theory of Complex Mechanical Systems. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada342742.

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Car, David, and Steven L. Puterbaugh. Fluid Mechanics of Compression System Flow Control. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada444617.

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Baillieul, John. Advanced Programming and Control Techniques for Complex Mechanical Systems. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada190238.

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

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Murray, Richard M. Nonlinear Control of Mechanical Systems in the Presence of Magnitude and Rate Saturation. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada326451.

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Yoozbashizadeh, Mahdi, and Forouzan Golshani. Robotic Parking Technology for Congestion Mitigation and Air Quality Control Around Park & Rides. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1936.

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A lack or limited availability for parking may have multiple consequences, not the least of which is driver frustration, congestion, and air pollution. However, there is a greater problem that is not widely recognized by the public, namely the negative effect on the use of transit systems due to insufficient parking spaces close to key transit stations. Automated parking management systems, which have been successfully deployed in several European and Japanese cities, can manage parking needs at transit stations more effectively than other alternatives. Numerous studies have confirmed that qui

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Kisner, R. A., S. W. Kercel, B. Damiano, et al. Development of a Versatile Laser Ultrasonic System and Application to On-Line Measurement for Process Control of Wall Thickness and Eccentrictiy of Steel Seamless Mechanical Tubing. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/940387.

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Wei, Fulu, Ce Wang, Xiangxi Tian, Shuo Li, and Jie Shan. Investigation of Durability and Performance of High Friction Surface Treatment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317281.

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The Indiana Department of Transportation (INDOT) completed a total of 25 high friction surface treatment (HFST) projects across the state in 2018. This research study attempted to investigate the durability and performance of HFST in terms of its HFST-pavement system integrity and surface friction performance. Laboratory tests were conducted to determine the physical and mechanical properties of epoxy-bauxite mortar. Field inspections were carried out to identify site conditions and common early HFST distresses. Cyclic loading test and finite element method (FEM) analysis were performed to eva

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