Search results for "motion control"

showing 10 items of 70 documents

Experimental framework of traveling trolley with swinging load for hybrid motion control

2018

A novel experimental framework of the traveling trolley with swinging load is proposed. The system is designed as a controlled moving cart with pendulum for investigation of the hybrid motion control methods, involving the discrete sensors and impulsive event-based state observations and control actions. A mechatronic approach of principal system design, modeling, and identification are provided together with a motion control of the cart and simple event-based control of a-priori unknown final position. The coupled motion dynamics is analyzed and evaluated by using the discrete sensors, along with the control results.

0209 industrial biotechnologyEvent (computing)Computer scienceElementary eventDynamics (mechanics)Pendulum02 engineering and technologyMechatronicsMotion control01 natural sciences020901 industrial engineering & automationPosition (vector)Control theory0103 physical sciencesSystems design010301 acoustics2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
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Analysis of Linear Feedback Position Control in Presence of Presliding Friction

2016

0209 industrial biotechnologyObserver (quantum physics)Computer scienceMechanical Engineering020208 electrical & electronic engineeringEnergy Engineering and Power TechnologyControl engineering02 engineering and technologyServomechanismMotion controlIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationControl theorylawAutomotive Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringPosition controlIEEJ Journal of Industry Applications
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Comparison of KVP and RSI for Controlling KUKA Robots Over ROS

2020

In this work, an open-source ROS interface based on KUKAVARPROXY for control of KUKA robots is compared to the commercial closed-source Robot Sensor Interface available from KUKA. This comparison looks at the difference in how these two approaches communicate with the KUKA robot controller, the response time and tracking delay one can expect with the different interfaces, and the difference in use cases for the two interfaces. The investigations showed that the KR16 with KRC2 has a 50 ms response time, and RSI has a 120 ms tracking delay, with negligible delay caused by the ROS communication stack. The results highlight that the commercial inferface is more reliable for feedback control tas…

0209 industrial biotechnologySIMPLE (military communications protocol)Computer scienceFeedback controlInterface (computing)020208 electrical & electronic engineeringMotion control systemsRobot controllerResponse time02 engineering and technology020901 industrial engineering & automationRobot manipulatorsControl and Systems EngineeringControl theory0202 electrical engineering electronic engineering information engineeringRobotRobotics technologiesSimulationIFAC-PapersOnLine
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An algebraic approach for human posture estimation in the sagittal plane using accelerometer noisy signal

2012

International audience; Our aim is to develop an algebraic approach to estimate human posture in the sagittal plane using Inertial Measurement Unit (IMU) providing accelerations and angular velocities. To do it so, we address the issue of the estimation of the amplitude, frequency and phase of a biased and noisy sum of three sinusoidal waveform signals on a moving time horizon. Since the length of the time window is small, the estimation must be done within a fraction of the signal's period. The problem is solved via algebraic techniques (see [38] for the theoretical part concerning this problem). The efficiency of our approach is illustrated by computer simulations.

0209 industrial biotechnologySignal processingComputer sciencePhase (waves)02 engineering and technologyMotion controlAccelerometerSignalSagittal plane03 medical and health sciences020901 industrial engineering & automation0302 clinical medicineAmplitudemedicine.anatomical_structureInertial measurement unitControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineeringmedicine030217 neurology & neurosurgery
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On Switching between Motion and Force Control

2019

In motion control technologies, an automatic switching between trajectory following and set reference force, upon the impact, is a frequently encountered requirement. Despite both, motion and force controls, are something of well-understood and elaborated in the control theory and engineering practice, a reliable switching between them is not always self-evident. It can lead to undesired deadlocks, limit cycles, chattering around switching point and, as consequence, to wearing or damages in the controlled plant and its environment. This paper contributes to analysis and understanding of the autonomous switching from the motion to force control and vice versa. Simple output and state feedbac…

0301 basic medicineLyapunov functionComputer scienceMotion controlVDP::Teknologi: 50003 medical and health sciencesNonlinear systemsymbols.namesake030104 developmental biology0302 clinical medicineControl theoryControl systemLimit (music)TrajectorysymbolsHybrid automaton030217 neurology & neurosurgery2019 27th Mediterranean Conference on Control and Automation (MED)
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Intelligent Adaptive Motion Control for Ground Wheeled Vehicles

2014

In this paper a new intelligent adaptive control is applied to solve a problem of motion control of ground vehicles with two independent wheels actuated by a differential drive. The major objective of this work is to obtain a motion control system by using a new fuzzy inference mechanism where the Lyapunov’s stability can be assured. In particular the parameters of the kinematical control law are obtained using an intelligent Fuzzy mechanism, where the properties of the Fuzzy maps have been established to have the stability above. Due to the nonlinear map of the intelligent fuzzy inference mechanism (i.e. fuzzy rules and value of the rule), the parameters above are not constant, but, time a…

Adaptive control Electric wheeled vehicles Fuzzy control system Lyapunov’s stability Motion Control Nonholonomic systems.Settore ING-INF/04 - Automatica
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Symbolic control for underactuated differentially flat systems

2006

In this paper we address the problem of generating input plans to steer complex dynamical systems in an obstacle-free environment. Plans considered admit a finite description length and are constructed by words on an alphabet of input symbols, which could be e.g. transmitted through a limited capacity channel to a remote system, where they can be decoded in suitable control actions. We show that, by suitable choice of the control encoding, finite plans can be efficiently built for a wide class of dynamical systems, computing arbitrarily close approximations of a desired equilibrium in polynomial time. Moreover, we illustrate by simulations the power of the proposed method, solving the steer…

Channel capacityNonlinear systemCapacity planningSettore ING-INF/04 - AutomaticaDynamical systems theoryControl theoryUnderactuationControl systemdynamic systemSymbolic controlMotion controlTime complexityMathematicsProceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
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Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation

2012

In this paper, the calibration of a framework based in Multi-agent Reinforcement Learning (RL) for generating motion simulations of pedestrian groups is presented. The framework sets a group of autonomous embodied agents that learn to control individually its instant velocity vector in scenarios with collisions and friction forces. The result of the process is a different learned motion controller for each agent. The calibration of both, the physical properties involved in the motion of our embodied agents and the corresponding dynamics, is an important issue for a realistic simulation. The physics engine used has been calibrated with values taken from real pedestrian dynamics. Two experime…

Computer Science::Multiagent SystemsComputer scienceDynamics (mechanics)DiagramComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCalibrationProcess (computing)Reinforcement learningMotion controllerPhysics engineSimulationMotion (physics)
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Tuning of Extended Kalman Filters for Sensorless Motion Control with Induction Motor

2019

This work deals with the tuning of an Extended Kalman Filter for sensorless control of induction motors for electrical traction in automotive. Assuming that the parameters of the induction motor-load model are known, Genetic Algorithms are used for obtaining the system noise covariance matrix, considering the measurement noise covariance matrix equal to the identity matrix. It is shown that only stator currents have to be acquired for reaching this objective, which is easy to accomplish using Hall-effect transducers. In fact, the Genetic Algorithm minimizes, with respect to the system covariance matrix, a suitable measure of the displacement between the stator currents experimentally acquir…

Computer scienceCovariance matrixStator020209 energy020208 electrical & electronic engineeringIdentity matrix02 engineering and technologyKalman filterMotion controllaw.inventionExtended Kalman filterExtended Kalman filterNoiseGenetic algorithmSettore ING-INF/04 - AutomaticaControl theorylawSenseless controlElectrical traction0202 electrical engineering electronic engineering information engineeringInduction motor
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A method for smoothly disengaging the load-holding valves of energy-efficient electro-hydraulic systems

2020

A novel self-contained, electro-hydraulic cylinder drive capable of passive load-holding, four-quadrant operations, and energy recovery was presented recently and implemented successfully. This solution improved greatly the energy efficiency and motion control in comparison to state-of-the-art, valve-controlled systems typically used in mobile or offshore applications. The passive load-holding function was realized by two pilot-operated check valves placed on the cylinder ports, where their pilot pressure is selected by a dedicated on/off electro valve. These valves can maintain the actuator position without consuming energy, as demonstrated on a single-boom crane. However, a reduced drop o…

Computer sciencePressure controlElectro-hydraulic systemsKinematicsLinear actuatorSelf-contained cylindersMotion controlAutomotive engineeringlaw.inventionCylinder (engine)PistonVDP::Teknologi: 500Energy efficiencylawLinear actuatorsPassive load holdingActuatorLoad carrying applicationsEnergy recoveriesEfficient energy use
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