Search results for "motion control"

showing 10 items of 70 documents

Motion control of medium size CNC machine-tools-A hands-on approach

2012

This paperwork presents an integrated approach based upon simulation and experimental work for reducing the positioning errors of a small to medium size CNC machine-tools. The approach is intended to be used at the shop-floor level and therefore it is based upon a straight-forward model of the feed drive. The model was particularized with specific data from a CNC milling machine and simulation techniques were used to predict the behavior of the system. Only the control parameters of the feed drive which may be altered by the user, without modifying the structure of the CNC controller were taken into consideration and tuned. Simulation results and experimental data gathered before and after …

Engineeringbusiness.product_categorybusiness.industryFeed driveProcess (computing)Experimental dataComputerApplications_COMPUTERSINOTHERSYSTEMSControl engineeringMotion controlMachine toolControl theoryNumerical controlExperimental workbusiness2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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Motion control systems for machine tools - a mechatronic approach by means of simulation

2008

Tuning the control parameters of the feed drives for existing state of the art CNC machine tools, or retrofitting obsolete machine tools requires a close understanding of the position control process. The use of a mathematical model of the feed drive, combined with a computer simulation process is needed in order to fulfill the above mentioned tasks. In this paper some simulation tools for studying the CNC motion control systems are presented. Both single axis positioning regime and biaxial linear and circular interpolation regime were taken into consideration. The main goal of the research was to offer a handson integrated simulation tools compatible and able to use for improving the perfo…

Engineeringbusiness.product_categorybusiness.industryProcess (engineering)Control engineeringMechatronicsMotion controlMachine toolNumerical controlState (computer science)businessSimulationMachine controlInterpolation2008 IEEE International Symposium on Industrial Electronics
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Velocity sensorless control of uncertain load using RKF tuned with an evolutionary algorithm and mu-analysis

2010

Abstract In case of a velocity control scheme for a load directly driven by an actuator, large variations of its parameters are problematic due to possible instability and large variations of the final performances. This performances are then decreasing if a sensorless control is implemented due to cost, reliability or application constraints. This paper proposes solutions to quickly and accurately tune an observer with a lower computer time consumption and lower conception time. A previous calculated state feedback is used as base for a Kalman filter with special noise matrices. An evolutionary algorithm optimizes the observers degrees of freedom all over the variations. The mu-analysis th…

Engineeringevolutionary algorithmOptimization algorithmbusiness.industrymotion controlEvolutionary algorithmrobust Kalman filterKalman filtermu-analysiMotion controlInstabilityMotion control ; Robustness ; OptimizationSettore ING-INF/04 - AutomaticaRobustness (computer science)Control theorySenseless controlbusinessActuatorrobustneoptimization[SPI.NRJ] Engineering Sciences [physics]/Electric powerIFAC Proceedings Volumes
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Guest Editorial: Advanced Motion Control for Mechatronic Applications With Precision and Force Requirements

2021

The articles in this special section focus on advanced motion control for mechatronic applications with precision and force requirements. Motion control is concerned with all the issues arising in the control of the movement of a physical device. This means that MC is not limited to the use of proper devices for sensing and actuation, in addition to suitable control algorithms, but it also deals with all the possible interactions of the controlled devices with the environment. This is the most remarkable aspect of MC, nowadays deployed in numerous mechatronic systems, especially those which are dynamically acting in heterogenous, time-varying, active, and human-accessible environments. With…

Focus (computing)Control and Systems EngineeringRobustness (computer science)Computer scienceVirtual sensorsControl engineeringEnergy consumptionElectrical and Electronic EngineeringMechatronicsMotion controlDesign methodsMotion (physics)IEEE Transactions on Industrial Electronics
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Robust motion control of nonlinear quadrotor model with wind disturbance observer

2021

This paper focuses on robust wind disturbance rejection for nonlinear quadrotor models. By leveraging on nonlinear unknown observer theory, it proposes a nonlinear dynamic filter that, using sensors already on-board the aircraft, can estimate in real-time wind gust signals in the three dimensions. The wind disturbance is then treated as input to the PD controller for a quick and robust flight pathway in presence of disturbances. With this scheme, the wind disturbance can be precisely estimated online and compensated in real-time. Hence, the quadrotor can successfully reach its desired attitude and position. To show the effective and desired performance of the method, simulation results are …

General Computer ScienceObserver (quantum physics)PD controlComputer scienceGeneral EngineeringPID controllerNonlinear unknown input observersFilter (signal processing)Motion controlUnknown wind gust estimation and compensationTK1-9971Nonlinear systemControl theoryRobustness (computer science)QuadrotorGeneral Materials ScienceNonlinear unknown input observers; PD control; Quadrotor; Unknown wind gust estimation and compensationElectrical engineering. Electronics. Nuclear engineeringRobust controlMATLABcomputercomputer.programming_language
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Lead-Lag-Shaped Interactive Force Estimation by Equivalent Output Injection of Sliding-Mode

2020

Estimation of interactive forces, which are mostly unavailable for direct measurement on the interface between a system and its environment, is an essential task in various motion control applications. This paper proposes an interactive force estimation method, based on the well-known equivalent output injection of the second-order sliding mode. The equivalent output injection is used to obtain a frequency-unshaped quantity that appears as a matched external disturbance and encompasses the interactive forces. Afterwards, a universal lead-lag shaper, depending on dynamics of the motion control system coupled with its environment, is used to extract an interactive force quantity. Once identif…

Hydraulic cylinderReference measurementComputer scienceRobustness (computer science)Control theoryFrequency domainFOS: Electrical engineering electronic engineering information engineeringSystems and Control (eess.SY)Motion controlLead–lag compensatorSystem structureElectrical Engineering and Systems Science - Systems and ControlDynamic load testing
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Fuzzy/Kalman Hierarchical Horizontal Motion Control of Underactuated ROVs.

2010

A new closed loop fuzzy motion control system including on-line Kalman's filter (KF) for the two dimensional motion of underactuated and underwater Remotely Operated Vehicle (ROV) is presented. Since the sway force is unactuated, new continuous and discrete time models are developed using a polar transformation. A new hierarchical control architecture is developed, where the high level fuzzy guidance controller generates the surge speed and the yaw rate needed to achieve the objective of planar motion, while the low level controller gives the thruster surge force and the yaw torque control signals. The Fuzzy controller ensures robustness with respect to uncertainties due to the marine envi…

Lyapunov functionComputer sciencelcsh:TK7800-8360Remotely operated underwater vehicleFuzzy/Kalman Hierarchical Motion Control Underactuated ROVFuzzy logiclcsh:QA75.5-76.95Computer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaArtificial IntelligenceRobustness (computer science)Control theoryInertial measurement unitTorqueUnderactuationlcsh:ElectronicsYawKalman filterFuzzy control systemMotion controlComputer Science ApplicationsControl systemsymbolslcsh:Electronic computers. Computer scienceSoftware
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Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort

2008

This paper considers motion control for a cooperative system of automated passenger vehicles. It develops a cooperative scheme based on a decentralized planning algorithm which considers the vehicles in an initial open chain configuration. In this scheme the trajectories are intersections-free, and each trajectory is planned independently of the others. To ensure the stabilization of each vehicle in the planned trajectory, a fuzzy closed loop motion control is presented, where, based on the properties of the Fuzzy maps, the Lyapunov’s stability of the motion errors is demonstrated for all the vehicles. Based on the ISO 2631-1 standard, the saturation property of the Fuzzy maps guarantees lo…

Lyapunov functionEngineeringAdaptive controlbusiness.industryControl engineeringBody movementFuzzy control systemMotion controlAutomated Vehicles Cooperation Fuzzy Control Lyapunov's stability Motion control passengers comfortFuzzy logicComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaFuzzy Control motion control ground vehicles passenger comfortControl and Systems EngineeringControl theoryTrajectorysymbolsElectrical and Electronic EngineeringDecentralized planningbusinessAutomatica
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Trajectory Decentralized Fuzzy Control of Multiple UAVs.

2008

This paper considers a complete position and heading rate control system for multiple unmanned aerial vehicles (UAVs) with constant altitude. A decentralized trajectory planning algorithm is proposed, where the UAVs will avoid collisions while moving. In order to stabilize the UAVs in the reference planned trajectories and ensure the boundedness of the control velocities, a fuzzy control law is proposed with Lyapunov's stability proof. Simulation experiments developed in Matlab environment confirm the effectiveness and the robustness of the proposed control algorithm with respect to possible turbulence disturbances perturbing the nominal motion of the UAVs.

Lyapunov stabilityLyapunov functionAutomatic controlComputer scienceTrajectory Decentralized Fuzzy Control Multiple UAVFuzzy control systemMotion controlComputer Science::Multiagent SystemsComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theoryControl systemTrajectorysymbolsMotion planning
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Fuzzy Control Strategy for Cooperative Non-holonomic Motion of Cybercars with Passengers Vibration Analysis

2021

The cybercars are electric road wheeled non-holonomic vehicles with fully automated driving capabilities. They contribute to sustainable mobility and are employed as passenger vehicles. Non-holonomic mechanics describes the motion of the cybercar constrained by non-integrable constraints, i.e. constraints on the system velocities that do not arise from constraints on the configuration alone. First of all there are thus with dynamic nonholonomic constraints, i.e. constraints preserved by the basic Euler-Lagrange equations (Bloch, 2000; Melluso, 2007; Raimondi & Melluso, 2006-a). Of course, these constraints are not externally imposed on the system but rather are consequences of the equations…

Nonholonomic systemComputer scienceHolonomicControl engineeringKalman filterFuzzy control systemKinematicsMotion controlComputer Science::RoboticsCybercars motion control passengers vibration intelligent controlSettore ING-INF/04 - AutomaticaControl theoryBacksteppingTrajectoryCybercars Fuzzy Control Passengers vibration analysis.
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