Search results for "Robust control"

showing 10 items of 84 documents

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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Robust adaptive tracking control of uncertain systems with time-varying input delays

2017

ABSTRACTIn this paper, the problem of robust adaptive tracking control of uncertain systems with time-varying input delays is studied. Under some mild assumptions, a robust adaptive controller is designed by using adaptive backstepping technique such that the system is globally stable and the system output can track a given reference signal. At the same time, a root mean square type of bound is obtained for the tracking error as a function of design parameters and thus can be adjusted. Finally, one numerical example is given to show the effectiveness of the proposed scheme.

0209 industrial biotechnologyControl and OptimizationAdaptive controlComputer scienceControl (management)Uncertain systems02 engineering and technologyFunction (mathematics)SignalComputer Science ApplicationsTheoretical Computer ScienceHuman-Computer InteractionTracking errorRoot mean square020901 industrial engineering & automationControl and Systems EngineeringControl theoryBackstepping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringAdaptive trackingRobust controlInternational Journal of Systems Science
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Event-triggered robust adaptive control for discrete time uncertain systems with unmodelled dynamics and disturbances

2019

In practice, modelling errors caused by high-order unmodelled dynamics and external disturbances are unavoidable. How to ensure the robustness of an adaptive controller with respect to such modelling errors is always a critical concern. In this study, the authors consider the design of event-triggered robust adaptive control for a class of discrete-time uncertain systems which involve such modelling errors and also are allowed to be non-minimum phase. Unlike some existing event-triggered control schemes, the developed controllers do not require that the measurement errors meet the corresponding input-to-state stable condition. Global stability of the closed-loop system which means that all …

0209 industrial biotechnologyControl and OptimizationAdaptive controlObservational errorComputer scienceUncertain systems02 engineering and technologyComputer Science ApplicationsHuman-Computer InteractionVDP::Teknologi: 500020901 industrial engineering & automationDiscrete time and continuous timeControl and Systems EngineeringControl theoryRobustness (computer science)Bounded functionElectrical and Electronic EngineeringRobust controlEvent triggered
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Robust control for high performance induction motor drives based on partial state-feedback linearization

2019

This paper deals with a robust input-output feedback linearization control technique for induction motors. Indeed, classic feedback linearization presents two main disadvantages: 1) the accuracy of the dynamic model; and 2) the corresponding correct knowledge of the model parameters. To address this issue, the linear controller has been substituted with a suitably controller designed to be robust to the variations of the main parameters of the induction motor, like stator and rotor resistances, and the three-phase magnetizing inductance. The proposed controller has been tested both in numerical simulation and experimentally on a suitably designed test setup. Moreover, it has been compared w…

0209 industrial biotechnologyEngineeringComputer scienceStator020209 energy02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theorylawLinearizationRobustness (computer science)0202 electrical engineering electronic engineering information engineeringTorqueFeedback linearizationElectrical and Electronic EngineeringInduction motorfeedback linearizationComputer simulationbusiness.industry020208 electrical & electronic engineeringControl engineeringPartial state feedbackMagnetic coreControl and Systems Engineeringrobust control.Feedback linearization (FL)Robust controlbusinessInduction motorrobust control
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A unified observer for robust sensorless control of DC–DC converters

2017

Abstract Due to the large variety of converters' configurations, many different sensorless controllers are available in the literature, each one suited for a particular converter. The need for different configurations, especially on the same power supply, make it clear the advantage of having a shared control algorithm. This paper presents a unified nonlinear robust current observer for buck, boost and buck–boost converters in synchronous and asynchronous configurations. The unified observer speeds up the design, tuning and the implementation, and requires a memory cheaper code, easier to certify. Simulation and experimental results are presented to validate the approach in different scenar…

0209 industrial biotechnologyEngineeringObserver (quantum physics)Control (management)Robust control02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciAsynchronous converters020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringCode (cryptography)Electrical and Electronic Engineeringbusiness.industryApplied Mathematics020208 electrical & electronic engineeringSynchronous convertersControl engineeringConvertersSensorless controlComputer Science ApplicationsPower (physics)Current mode controlNonlinear systemNonlinear observerControl and Systems EngineeringAsynchronous communicationRobust controlbusinessDC–DC converters
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Adaptation, coordination, and local interactions via distributed approachability

2017

This paper investigates the relation between cooperation, competition, and local interactions in large distributed multi-agent\ud systems. The main contribution is the game-theoretic problem formulation and solution approach based on the new framework\ud of distributed approachability, and the study of the convergence properties of the resulting game model. Approachability\ud theory is the theory of two-player repeated games with vector payoffs, and distributed approachability is here presented for\ud the first time as an extension to the case where we have a team of agents cooperating against a team of adversaries under local\ud information and interaction structure. The game model turns i…

0209 industrial biotechnologyMarkov process02 engineering and technologyApproachability01 natural sciencesTerm (time)Repeated gamesApproachabilityDifferential gamesRobust controlNetwork flow010104 statistics & probabilityNonlinear systemsymbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaDifferential inclusionControl and Systems EngineeringConvergence (routing)symbolsRepeated gameTopological graph theorySettore MAT/09 - Ricerca Operativa0101 mathematicsElectrical and Electronic EngineeringMathematical economicsMathematicsAutomatica
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Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton.

2020

Neurological disorders such as cerebral paralysis, spinal cord injuries[acronym](SCI), and strokes, result in the impairment of motor control and induce functional difficulties to human beings like walking, standing, etc. Physical injuries due to accidents and muscular weaknesses caused by aging [english]affectsaffect people and can cause them to lose their ability to perform daily routine functions. In order to help people recover or improve their dysfunctional activities and quality of life after accidents or strokes, assistive devices like exoskeletons and orthoses are developed. Control strategies for control of exoskeletons are developed with the desired intention of improving the qual…

0209 industrial biotechnologyObserver (quantum physics)Computer sciencenonlinear state error feedback (NLSEF)02 engineering and technologyWalkingActive disturbance rejection controllcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDifferentiator020901 industrial engineering & automationimproved active disturbance rejection control (I-ADRC)Control theory0202 electrical engineering electronic engineering information engineeringHumanstrajectory trackingnonlinear state error feedback (NLSEF).lcsh:TP1-1185State observerElectrical and Electronic Engineeringlower limb robotic rehabilitation exoskeleton (LLRRE)Instrumentationtracking differentiator (TD)020208 electrical & electronic engineeringRehabilitationMotor controlRoboticsExoskeleton DeviceAtomic and Molecular Physics and OpticsExoskeletonNonlinear systemLower ExtremityTrajectoryQuality of LifeRobust controllinear extended state observer (LESO)Sensors (Basel, Switzerland)
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Design of a robust controller for DC/DC converter–electrolyzer systems supplied by μWECSs subject to highly fluctuating wind speed

2020

Abstract A buck-based, isolated, high-voltage-ratio DC/DC converter that allows supplying a proton exchange membrane (PEM) electrolyzer from a micro-wind energy conversion system ( μ WECS) has been recently presented. It exhibits low ripple at the switching frequency on the output voltage and current and represents an attractive solution for low-cost hydrogen production. In this paper, a more accurate mathematical model of such a converter is derived and discussed. Then, a model-based robust controller is designed in the frequency domain using the Internal Model Control structure and in the context of H 2 ∕ H ∞ optimal control. The controller satisfies the condition of robust stability and …

0209 industrial biotechnologyRippleRobust controlInternal modelFull-bridge converter02 engineering and technology7. Clean energy[SPI.AUTO]Engineering Sciences [physics]/Automatic020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaElectrolyzerControl theoryRobustness (computer science)Model-based control techniques0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSParametric statisticsPhysicsBuck converterApplied Mathematics[SPI.NRJ]Engineering Sciences [physics]/Electric power020208 electrical & electronic engineeringOptimal controlComputer Science ApplicationsInductanceControl and Systems EngineeringFrequency domainStand-alone wind generatorVoltageControl Engineering Practice
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Type-2 Fuzzy Control of a Bioreactor

2009

Abstract—In this paper the control of a bioprocess using an adaptive type-2 fuzzy logic controller is proposed. The process is concerned with the aerobic alcoholic fermentation for the growth of Saccharomyces Cerevisiae a n d i s characterized by nonlinearity and parameter uncertainty. Three type-2 fuzzy controllers heve been developed and tested by simulation: a simple type-2 fuzzy logic controller with 49 rules; a type-2 fuzzyneuro- predictive controller (T2FNPC); a t y p e -2 selftuning fuzzy controller ( T2STFC). The T2FNPC combines the capability of the type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a…

Adaptive neuro fuzzy inference systemSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive controlArtificial neural networkNeuro-fuzzyComputer scienceFuzzy setFuzzy control systemEthanol fermentationFuzzy logicDefuzzificationNonlinear systemModel predictive controlControl theoryAdaptive systemAdaptive control Type-2 fuzzy control Non-linear systems UncertaintyProcess controlRobust control
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TAKEOFF AND LANDING ROBUST CONTROL SYSTEM FOR A TANDEM CANARD UAV

2005

In spite of modern wide improvements in UAV’s technologies, a few number of such a vehicles is fully autonomous from takeoff to landing . So, either autonomous operation or operation with minimal human intervention is, actually, the primary design goal for the UAV’s researchers. The core of the problem is the design of the landing and takeoff control system. The objective of this paper is to design a control system in which the same state variables are controlled during both the descending/ascending path and the flare, tacking into account the actual ground effect. Robust control techniques are employed with the aim to cope with atmospheric turbulence, measurement noise, parameter variation…

Aerospace vehicleLandingState variablebusiness.industryComputer scienceAerospace applicationTakeoffLinear-quadratic-Gaussian controlTakeoff and landingTurbulenceNoiseGround effect (aerodynamics)Unmanned vehiclesSettore ING-INF/04 - AutomaticaControl systemTakeoffAerospace engineeringRobust controlbusiness
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