Active robust shape control of flexible structures

Hu, Yan‐Ru; Vukovich, George

doi:10.1016/j.mechatronics.2005.02.004

“…In the light of these considerations, the selected regulator is based on LQG-H2 theory [32,33,34,35,36,37,38,39,40]. The main functional concept of the AVC device is to recognize any undesirable displacement on the tool tip point of the machine tool through a three-axial sensor.…”

Section: Active Vibration Control (Avc) Module: Principles and Tecmentioning

confidence: 99%

Real-Time Performance of Mechatronic PZT Module Using Active Vibration Feedback Control

Aggogeri

¹

,

Borboni

²

,

Merlo

³

et al. 2016

Sensors

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This paper proposes an innovative mechatronic piezo-actuated module to control vibrations in modern machine tools. Vibrations represent one of the main issues that seriously compromise the quality of the workpiece. The active vibration control (AVC) device is composed of a host part integrated with sensors and actuators synchronized by a regulator; it is able to make a self-assessment and adjust to alterations in the environment. In particular, an innovative smart actuator has been designed and developed to satisfy machining requirements during active vibration control. This study presents the mechatronic model based on the kinematic and dynamic analysis of the AVC device. To ensure a real time performance, a H2-LQG controller has been developed and validated by simulations involving a machine tool, PZT actuator and controller models. The Hardware in the Loop (HIL) architecture is adopted to control and attenuate the vibrations. A set of experimental tests has been performed to validate the AVC module on a commercial machine tool. The feasibility of the real time vibration damping is demonstrated and the simulation accuracy is evaluated.

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“…In particular, a robust control system design has to reduce S and T at low and high frequencies, respectively, and avoid vibration peaks. In the light of these considerations, the selected regulator is based on LQG-H2 theory [32][33][34][35][36][37][38][39][40]. The main functional concept of the AVC device is to recognize any undesirable displacement on the tool tip point of the machine tool through a three-axial sensor.…”

Section: Control Modeling and Strategiesmentioning

confidence: 99%

Real-Time Performance of Mechatronic PZT Module Using Active Vibration Feedback Control

Aggogeri¹,

Borboni²,

Merlo³

et al. 2016

Preprint

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This paper proposes an innovative mechatronic piezo-actuated module to control vibrations in modern machine tools. Vibrations represent one of the main issues that seriously compromise the quality of the workpiece. The active vibration control (AVC) device is composed of a host part integrated with sensors and actuators synchronized by a regulator; it is able to make a self-assessment and adjust to alterations in the environment. In particular, an innovative smart actuator has been designed and developed to satisfy machining requirements during active vibration control. This study presents the mechatronic model based on the kinematic and dynamic analysis of the AVC device. To ensure a real time performance, a H2-LQG controller has been developed and validated by simulations involving a machine tool, PZT actuator and controller models. The Hardware in the Loop (HIL) architecture is adopted to control and attenuate the vibrations. A set of experimental tests has been performed to validate the AVC module on a commercial machine tool. The feasibility of the real time vibration damping is demonstrated and the simulation accuracy is evaluated.

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“…This type of research has been pursued in other works as well; two references are given here. 11,66 Shape control on the aeroelastic model is implemented here making use of the modal filter. Further work with accelerometers is not continued.…”

Section: Virtual Deformation Control (Case Study: Modal Tracking)mentioning

confidence: 99%

Modal Filtering for Control of Flexible Aircraft

Suh

¹

,

Mavris

²

2013

54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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Modal regulators and deformation trackers are designed for an open-loop fluttering wing model. The regulators are designed with modal coordinate and accelerometer inputs respectively. The modal coordinates are estimated with simulated fiber optics. The robust stability of the closed-loop systems is compared in a structured singular-value vector analysis. Performance is evaluated and compared in a gust alleviation and flutter suppression simulation. For the same wing and flight condition two wing-shape-tracking control architectures are presented, which achieve deformation control at any point on the wing. Nomenclature= state matrix Accel = accelerometer AFS = active flutter suppression = balanced and reduced-order plant state matrix = number of accelerometers = control input matrix BWB = blended wing body = balanced and reduced-order input matrix = disturbance input weighting matrix for balanced and reduced-order plant = control input matrix for balanced and reduced-order plant = balanced = state space output matrix = balanced and reduced-order plant output matrix = output matrix transformation for accelerometers = state-regulated goal matrix for balanced and reduced-order plant = output matrix for balanced and reduced-order plant = number of control surfaces ̅ = mean aerodynamic chord = direct feedthrough matrix DFRC = Dryden Flight Research Center = control-regulated goal matrix for balanced and reduced-order plant = output noise weighting matrix for balanced and reduced-order plant = vector of deformations at fiber optic measurement stations = vector of virtual measurement deformations = vector of reference deformations at virtual measurement locations 2 ( ) = vector of deflections and rotations defined over at time ̈( ) = vector of accelerations and angular accelerations defined over at time EI = Effective Independence EOM = equations of motion = number of goal-regulated states and control surface movements = lower linear fractional transformation = plant GLA = gust load alleviation ( ) = class of all generalized plants with multiplicative input uncertainty ( ) = class of all generalized plants with multiplicative output uncertainty = gust model ( ) = matrix transfer function from disturbance to regulated output over all controllers ( ) = matrix transfer function from disturbance to regulated output = structural damping coefficient = sensor projection matrix (also referred to as hat matrix) = h infinity control type = scalar elements of the column and row of = identity matrix ( ) = imaginary part ̂ = imaginary number = matrix defined as = controller = control gain matrix = filter gain matrix = reduced frequency or non-dimensional frequency = system stability margin = global stiffness matrix ̃ = modal stiffness matrix = elemental stiffness matrix = leading edge = reference leading edge deflection at wing tip LFT = linear fractional transformation LQG = linear quadratic Gaussian LSE = least-squares estimation LTI = linear time-invariant = row vector index = row vector index for virtual deformation references = ...

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Active robust shape control of flexible structures

Cited by 26 publications

References 16 publications

Real-Time Performance of Mechatronic PZT Module Using Active Vibration Feedback Control

Real-Time Performance of Mechatronic PZT Module Using Active Vibration Feedback Control

Real-Time Performance of Mechatronic PZT Module Using Active Vibration Feedback Control

Modal Filtering for Control of Flexible Aircraft

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