Search results for " adaptive control"

showing 10 items of 12 documents

Application of Wavelet Networks to Adaptive Control of Robotic Manipulators

2011

Published version of a chapter in the book: Intelligent Robotics and Applications. Also available from the publisher at; http://dx.doi.org/10.1007/978-3-642-25489-5_39 In this paper, a wavelet-based adaptive control is proposed for a class of robotic manipulators, which consist of nonlinearities for friction effects and uncertain terms as disturbances. The controller is calculated by using a mixed of feedback linearization technique, supervisory control and H∞ control. In addition, the parameter adaptive laws of the wavelet network are developed using a Lyapunov-based design. It is also shown that both system tracking stability and convergence of the error estimation can be guaranteed in th…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Lyapunov functionEngineeringAdaptive controlbusiness.industryVDP::Technology: 500::Mechanical engineering: 570Stability (learning theory)Control engineeringwavelet networks robotic maniplulators adaptive controlsymbols.namesakeWaveletSupervisory controlControl theoryConvergence (routing)symbolsFeedback linearizationbusiness
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Stiffness Estimation and Adaptive Control for Soft Robots

2022

Nonostante la sorprendente crescita nello sviluppo dei robot ispirati alla natura, tra cui i cosiddetti soft robot, il potenziale di questi sistemi, che hanno intrinseche capacità di adattamento, non è ancora stato sfruttato a pieno. La ricerca ha principalmente considerato il controllo in retroazione della posizione dei giunti del robot, lasciando la gestione della cedevolezza di questi ultimi ancora in anello aperto. Peraltro, le attuali limitazioni nel processo di produzione degli attuatori a cedevolezza variabile e l'inevitabile variabilità nel tempo degli elementi elastici costitutivi, i quali sono soggetti ad usura e deformazione plastica, rendono il problema della determinazione prec…

roboticrobotics soft robotics variable stiffness actuators modeling stiffness estima- tion unknown input observers adaptive controlrobotics soft robotics variable stiffness actuators modeling stiffness estimation unknown input observers adaptive controlunknown input observerSettore ING-INF/04 - Automaticavariable stiffness actuatormodelingsoft roboticstiffness estimationadaptive controlrobotika popustljvi roboti aktuatori promenjive krutosti modeliranje estimacija krutosti adaptivno upravljanje
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Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults

2019

This paper investigates distributed consensus tracking problem for uncertain nonlinear systems with event-triggered communication. The common desired trajectory information and each subsystem's state will be broadcast to their linked subsystems only when predefined triggering conditions are satisfied. Compared with the existing related literature, the main features of the results presented in this paper include four folds. (i) A totally distributed adaptive control scheme is developed for multiple nonlinear systems without Lipschitz condition, while with parametric uncertainties. (ii) The derivative of desired trajectory function is allowed unknown by all subsystems and directed communicati…

0209 industrial biotechnologyConsensusAdaptive controlComputer science020208 electrical & electronic engineering02 engineering and technologyLipschitz continuityDistributed Adaptive ControlVDP::Teknologi: 500Nonlinear system020901 industrial engineering & automationConsensusControl and Systems EngineeringControl theory:Electrical and electronic engineering [Engineering]0202 electrical engineering electronic engineering information engineeringTrajectoryUniform boundednessGraph (abstract data type)Electrical and Electronic EngineeringParametric statisticsAutomatica
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Adaptive type-2 fuzzy logic control of a bioreactor

2010

Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearity and parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictive controller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a neural network model of the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PI cont…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemEngineeringAdaptive controlNeuro-fuzzybusiness.industryApplied MathematicsGeneral Chemical EngineeringNonlinear dynamicBioreactorAdaptive controlPID controllerControl engineeringGeneral ChemistryFuzzy control systemFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringType-2 fuzzy logic controlControl theoryProcess controlbusinessStabilityProcess control; Adaptive control; Type-2 fuzzy logic control; Stability; Nonlinear dynamics; BioreactorChemical Engineering Science
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Interaction Control of Robotic Manipulators Without Force Measurement

2010

This paper deals with a new adaptive force-position control of a robotic manipulator based on force estimation. Based on Lyapunov techniques will be proved that the control law guaranties tracking of the desired Cartesian trajectory along the contact plane and of a constant desired force along reciprocal direction, without force measuring. Extensive simulations with 2-DOF manipulator illustrates the followed approach.

Lyapunov functionAdaptive controlRobotic manipulators control adaptive control interaction control.Computer scienceRobot manipulatorControl engineeringTracking (particle physics)Computer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaControl theoryTrajectorysymbolsManipulatorConstant (mathematics)
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Decoupled nonlinear adaptive control of position and stiffness for pneumatic soft robots

2020

This article addresses the problem of simultaneous and robust closed-loop control of joint stiffness and position, for a class of antagonistically actuated pneumatic soft robots with rigid links and compliant joints. By introducing a first-order dynamic equation for the stiffness variable and using the additional control degree of freedom, embedded in the null space of the pneumatic actuator matrix, an innovative control approach is introduced comprising an adaptive compensator and a dynamic decoupler. The proposed solution builds upon existing adaptive control theory and provides a technique for closing the loop on joint stiffness in pneumatic variable stiffness actuators. Under a very mi…

0209 industrial biotechnologyAdaptive controlComputer science02 engineering and technologynull-spaceSoft robotadaptive controlComputer Science::Robotics020901 industrial engineering & automationArtificial IntelligenceControl theoryPosition (vector)0202 electrical engineering electronic engineering information engineeringmedicineElectrical and Electronic Engineeringvariable stiffness actuatorsPneumatic actuatorApplied MathematicsMechanical EngineeringStiffnessNonlinear adaptive controlphysical human–robot interactionantagonistic driveModeling and SimulationJoint stiffnesspneumatic actuatorRobot020201 artificial intelligence & image processingmedicine.symptomSoftware
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Adaptive Robot Control – An Experimental Comparison

2012

This paper deals with experimental comparison between stable adaptive controllers of robotic manipulators based on Model Based Adaptive, Neural Network and Wavelet -Based control. The above control methods were compared with each other in terms of computational efficiency, need for accurate mathematical model of the manipulator and tracking performances. An original management algorithm of the Wavelet Network control scheme has been designed, with the aim of constructing the net automatically during the trajectory tracking, without the need to tune it to the trajectory itself. Experimental tests, carried out on a planar two link manipulator, show that the Wavelet-Based control scheme, with…

0209 industrial biotechnologyArtificial neural networkComputer sciencelcsh:ElectronicsRobot manipulatorlcsh:TK7800-8360Control engineering02 engineering and technologylcsh:QA75.5-76.95Computer Science ApplicationsRobot control020901 industrial engineering & automationWaveletSettore ING-INF/04 - AutomaticaArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceSoftwareSimulationRobot control Model‐Based Adaptive control Wavelet based controlInternational Journal of Advanced Robotic Systems
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A Novel Adaptive Sliding Mode Controller for a 2-DOF Elastic Robotic Arm

2022

Collaborative robots (or cobots) are robots that are capable of safely operating in a shared environment or interacting with humans. In recent years, cobots have become increasingly common. Compliant actuators are critical in the design of cobots. In real applications, this type of actuation system may be able to reduce the amount of damage caused by an unanticipated collision. As a result, elastic joints are expected to outperform stiff joints in complex situations. In this work, the control of a 2-DOF robot arm with elastic actuators is addressed by proposing a two-loop adaptive controller. For the outer control loop, an adaptive sliding mode controller (ASMC) is adopted to deal with unce…

Control and OptimizationArtificial Intelligenceadaptive sliding mode controller; model reference adaptive controller; elastic robot arm; roboticsMechanical EngineeringVDP::Teknologi: 500::Industri- og produktdesign: 640Robotics
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Adaptive type-2 fuzzy control of non-linear systems

2009

The paper describes the development of two different type-2 adaptive fuzzy logic controllers and their use for the control of a non linear system that is characterized by the presence of bifurcations and parameter uncertainty. Although a type-2 fuzzy logic controller is able to handle the non linearities and the uncertainties present in a system, its robustness and effectiveness can be increased by the use of an opportune adaptive algorithm. A simulation study was conducted to compare the behavior of adaptive controllers with that of simple type-1 and type-2 fuzzy logic controllers. The system to be controlled, used for the simulation, is a continuous bioreactor for the treatment of mixed w…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemAdaptive controlAdaptive algorithmUncertaintyFuzzy control systemFuzzy logicType-2 fuzzy logic controlControl theoryNon linear systems Adaptive control.Control systemRobust controlEnergy sourceMathematics2009 IEEE International Conference on Intelligent Computing and Intelligent Systems
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A Seven Mode Truncation of the Kolmogorov Flow with Drag: Analysis and Control

2009

The transition from laminar to chaotic motions in a viscous °uid °ow is in- vestigated by analyzing a seven dimensional dynamical system obtained by a truncation of the Fourier modes for the Kolmogorov °ow with drag friction. An- alytical expressions of the Hopf bifurcation curves are obtained and a sequence of period doubling bifurcations are numerically observed as the Reynolds num- ber is increased for ¯xed values of the drag parameter. An adaptive stabilization of the system trajectories to an equilibrium point or to a periodic orbit is ob- tained through a model reference approach which makes the control global. Finally, the e®ectiveness of this control strategy is numerically illustra…

Period-doubling bifurcationEquilibrium pointHopf bifurcationTruncationMathematical analysisReynolds numberLaminar flowDynamical systemPhysics::Fluid Dynamicssymbols.namesakeClassical mechanicsDragsymbolsKolmogorov flow finite dimensional approximation adaptive controlMathematics
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