Search results for "control theory"

showing 10 items of 1333 documents

Compensation of Nonlinear Torsion in Flexible Joint Robots: Comparison of Two Approaches

2015

Flexible joint robots, in particularly those which are equipped with harmonic-drive gears, can feature elasticities with hysteresis. Under heavy loads and large joint torques the hysteresis lost motion can lead to significant errors of tracking and positioning of the robotic links. In this paper, two approaches for compensating the nonlinear joint torsion with hysteresis are described and compared with each other. Both methods assume the measured signals available only on the motor side of joint transmissions. The first approach assumes a rigid-link manipulator model and transforms the desired link trajectory into that of the motor drives by using the inverse dynamics and inverse hysteresis…

0209 industrial biotechnologyComputer science020208 electrical & electronic engineeringTorsion (mechanics)Systems and Control (eess.SY)02 engineering and technologyPlanar manipulatorInverse dynamicsNonlinear system020901 industrial engineering & automationControl and Systems EngineeringControl theoryFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringTrajectoryComputer Science - Systems and ControlRobotTorqueElectrical and Electronic EngineeringManipulatorIEEE Transactions on Industrial Electronics
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Adding Active Damping to Energy-Efficient Electro-Hydraulic Systems for Robotic Manipulators — Comparing Pressure and Acceleration Feedback

2020

The growing interest in energy efficiency, plug-and-play commissioning, and reduced maintenance for heavy-duty robotic manipulators directs towards self-contained, electro-hydraulic cylinders. These drives are characterized by extremely low damping that causes unwanted oscillations of the mechanical structure. Adding active damping to this class of energy-efficient architectures is essential. Hence, this paper bridges a literature gap by presenting a systematic comparison grounded on a model-based tuning of both pressure and acceleration feedback. It is shown that both approaches increase the system damping hugely and improve the performance of the linear system. Acceleration feedback shoul…

0209 industrial biotechnologyComputer science020209 energyLinear systemRobot manipulatorPressure feedback02 engineering and technologyElectro hydraulicAcceleration020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringHydraulic machineryEfficient energy use2020 5th International Conference on Robotics and Automation Engineering (ICRAE)
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Cross-correlation of whitened vibration signals for low-speed bearing diagnostics

2019

Abstract Rolling-element bearings are crucial components in all rotating machinery, and their failure will initially degrade the machine performance, and later cause complete shutdown. The period between an initial crack and complete failure is short due to crack propagation. Therefore, early fault detection is important to avoid unexpected machine shutdown and to aid in maintenance scheduling. Bearing condition monitoring has been applied for several decades to detect incipient faults at an early stage. However, low-speed conditions pose a challenge for bearing fault diagnosis due to low fault impact energy. To reliably detect bearing faults at an early stage, a new method termed Whitened …

0209 industrial biotechnologyComputer scienceAerospace Engineering02 engineering and technology01 natural sciencesFault detection and isolationScheduling (computing)law.inventionsymbols.namesake020901 industrial engineering & automationlawControl theory0103 physical sciences010301 acousticsCivil and Structural EngineeringBearing (mechanical)Cross-correlationMechanical EngineeringCondition monitoringRotational speedComputer Science ApplicationsVibrationControl and Systems EngineeringSignal ProcessingsymbolsHilbert transformMechanical Systems and Signal Processing
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Internal model-based feedback control design for inversion-free feedforward rate-dependent hysteresis compensation of piezoelectric cantilever actuat…

2018

Abstract This study proposes a new rate-dependent feedforward compensator for compensation of hysteresis nonlinearities in smart materials-based actuators without considering the analytical inverse model. The proposed rate-dependent compensator is constructed with the inverse multiplicative structure of the rate-dependent Prandtl–Ishlinskii (RDPI) model. The study also presents an investigation for the compensation error when the proposed compensator is applied in an open-loop feedforward manner. Then, an internal model-based feedback control design is applied with the proposed feedforward compensator to a piezoelectric cantilever actuator. The experimental results illustrate that the propo…

0209 industrial biotechnologyComputer scienceApplied MathematicsFeedback controlInternal modelFeed forwardInverseInversion (meteorology)02 engineering and technology021001 nanoscience & nanotechnologyMotion controlSmart materialComputer Science::OtherComputer Science Applications020901 industrial engineering & automationControl and Systems EngineeringControl theoryElectrical and Electronic Engineering0210 nano-technologyActuatorControl Engineering Practice
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Minimal-model for robust control design of large-scale hydraulic machines

2018

Hydraulic machines are in use where the large forces, at relatively low velocities, are required by varying loads and often hazardous and hard-to-reach environments, like e.g. offshore, mining, forestry, cargo logistics, and others industries. Cranes and excavators equipped with multiple hydraulic cylinders are typical examples for that. For design of the robust feedback controls of hydraulic cylinders, already installed into large-scale machines, there is a general lack of reliable dynamic models. Also the suitable and feasible identification techniques, especially in frequency domain, yield limited. This paper pro­poses a minimal-modeling approach for determining the most relevant open-lo…

0209 industrial biotechnologyComputer scienceComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologySystem dynamicsLoaderHydraulic cylinderExcavator020901 industrial engineering & automation020401 chemical engineeringControl theoryControl systemFrequency domain0204 chemical engineeringHydraulic machineryRobust control2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
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On Stability of Virtual Torsion Sensor for Control of Flexible Robotic Joints with Hysteresis

2019

Author's accepted manuscript (postprint). This article has been published in a revised form in Robotica, http://doi.org/10.1017/S0263574719001358. This version is free to view and download for private research and study only. Not for re-distribution or re-use. © 2019 Cambridge University Press. Available from 25/03/2020. Aim of the virtual torsion sensor (VTS) is in observing the nonlinear deflection in the flexible joints of robotic manipulators and, by its use, improving positioning control of the joint load. This model-based approach utilizes the motor-side sensing only and, therefore, replaces the load-side encoders at nearly zero hardware costs. For being applied in the closed control …

0209 industrial biotechnologyComputer scienceGeneral Mathematics020208 electrical & electronic engineeringPassivityTorsion (mechanics)02 engineering and technologyComputer Science ApplicationsRobot controlSystem dynamicsNonlinear systemVDP::Teknologi: 500020901 industrial engineering & automationControl and Systems EngineeringControl theoryControl systemJoint stiffness0202 electrical engineering electronic engineering information engineeringmedicinemedicine.symptomEncoderSoftware
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Adaptive Neural Control of MIMO Nonstrict-Feedback Nonlinear Systems with Time Delay

2016

In this paper, an adaptive neural output-feedback tracking controller is designed for a class of multiple-input and multiple-output nonstrict-feedback nonlinear systems with time delay. The system coefficient and uncertain functions of our considered systems are both unknown. By employing neural networks to approximate the unknown function entries, and constructing a new input-driven filter, a backstepping design method of tracking controller is developed for the systems under consideration. The proposed controller can guarantee that all the signals in the closed-loop systems are ultimately bounded, and the time-varying target signal can be tracked within a small error as well. The main con…

0209 industrial biotechnologyComputer scienceMIMOAdaptive trackingoutput-feedback controller02 engineering and technologyNonlinear controlmultiple-input and multiple-output (MIMO)020901 industrial engineering & automationControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionFilter (signal processing)neural networksComputer Science ApplicationsHuman-Computer InteractionNonlinear systemControl and Systems EngineeringBackstepping020201 artificial intelligence & image processingAdaptive tracking; multiple-input and multiple-output (MIMO); neural networks; output-feedback controller; Control and Systems Engineering; Software; Information Systems; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringSoftwareInformation Systems
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Relay feedback systems - established approaches and new perspectives for application

2019

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0209 industrial biotechnologyComputer scienceMechanical Engineering020208 electrical & electronic engineeringEnergy Engineering and Power Technology02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionNonlinear systemHarmonic balanceHysteresis020901 industrial engineering & automationControl theoryRelaylawAutomotive Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringIEEJ Journal of Industry Applications
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Integrated GNSS/IMU Hub Motion Estimator for Offshore Wind Turbine Blade Installation

2019

Abstract Offshore wind turbines (OWTs) have become increasingly popular for their ability to harvest clean offshore wind energy. Bottom-fixed foundations are the most used foundation type. Because of its large diameter, the foundation is sensitive to wave loads. For typical manually assisted blade-mating operations, the decision to perform the mating operation is based on the relative distance and velocity between the blade root center and the hub, and in accordance with the weather window. Hence, monitoring the hub real-time position and velocity is necessary, whether the blade installation is conducted manually or automatically. In this study, we design a hub motion estimation algorithm f…

0209 industrial biotechnologyComputer scienceMechanical EngineeringAerospace EngineeringEstimator02 engineering and technologyKalman filterSensor fusion01 natural sciencesComputer Science ApplicationsOffshore wind power020901 industrial engineering & automationControl and Systems EngineeringInertial measurement unitControl theoryGNSS applications0103 physical sciencesSignal ProcessingTrajectory010301 acousticsSmoothingCivil and Structural Engineering
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Ship-to-Ship State Observer Using Sensor Fusion and the Extended Kalman Filter

2019

In this paper, a solution for estimating the relative position and orientation between two ships in six degrees-of-freedom (6DOF) using sensor fusion and an extended Kalman filter (EKF) approach is presented. Two different sensor types, based on time-of-flight and inertial measurement principles, were combined to create a reliable and redundant estimate of the relative motion between the ships. An accurate and reliable relative motion estimate is expected to be a key enabler for future ship-to-ship operations, such as autonomous load transfer and handling. The proposed sensor fusion algorithm was tested with real sensors (two motion reference units (MRS) and a laser tracker) and an experime…

0209 industrial biotechnologyComputer scienceMechanical EngineeringDegrees of freedom020207 software engineeringOcean Engineering02 engineering and technologyKalman filterSensor fusionExtended Kalman filter020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringState observerJournal of Offshore Mechanics and Arctic Engineering
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