Active Vibration Control
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AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.
The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.
2019 IEEE 58th Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).
The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Component parts, hybrid microelectronics, materials, packaging techniques, and manufacturing technology.
2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017
The active vibration suppression with piezoceramic actuators has been paid more and more attention to for the flexible structures, but there are still some key problems to be solved to ensure the effectiveness and feasibility of the active vibration control. This paper presented the experiment results of the control results with the state feedback pole assignment and the positive position ...
2012 Sixth International Conference on Sensing Technology (ICST), 2012
Active Vibration Control using smart materials is explored due to their characteristics of adaptation to changing environmental and working conditions. Much of the research is motivated by aerospace, biomedical and robotics industry where lightly damped flexible structures characterized by low frequency high magnitude are common. With the use of smart materials active vibration suppression becomes ease in various fields. In ...
2007 8th International Conference on Electronic Measurement and Instruments, 2007
This research aims at the dynamic response and the active vibration control with piezoelectric self-sensing actuators for the cantilever beam under a moving mass. After analyzing the vibration characteristics of the beam under a moving mass, the active vibration control technology is introduced to suppress its vibration. The dynamic response model and state space model for active vibration control of ...
2008 Chinese Control and Decision Conference, 2008
Based upon the multi-parametric programming for the linear constrained optimization program, the explicit model predictive control systems for linear time-invariable and time-variable constrained system are established respectively. The dynamic model for the mechanical vibration of elevator is developed, and schemes for vibration control of elevator and the placement of the actuator are discussed. With the established explicit model predictive control ...
2011 Third International Conference on Measuring Technology and Mechatronics Automation, 2011
As the accuracy of the control channel model directly affects the stability and the convergence of the active vibration controller for smart flexible structures, offline identification of the control channel model is inappropriate for a vibration system whose characteristic and parameter is time-varying. To solve the problem of the control channel model identification, an active vibration control algorithm based on ...
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - L.R. Whicker
Magnetic Nanowires: Revolutionizing Hard Drives, RAM, and Cancer Treatment
CB: Exploring Neuroscience with a Humanoid Research Platform
APEC 2011-Intersil Promo Apec 2011
IMS 2011 Microapps - Mixed-Signal Active Load Pull - The Fast Track to 3G/4G Amplifier Design
Research, Development and Field Test of Robotic Observation Systems for Active Volcanic Areas in Japan
Magnetics + Mechanics + Nanoscale = Electromagnetics Future - Greg P. Carman: IEEE Magnetics Distinguished Lecture 2016
IMS 2011 Microapps - Active and Hybrid Load Pull - A Paradigm Shift
Wireless Power Charging of Plug-In Electric Vehicles
Optimization for Robust Motion Planning and Control
IMS 2012 Microapps - Reducing Active Device Temperature Rise and RF Heating Effects with High Thermal Conductivity Low Loss Circuit Laminates
Mayo Clinic Motion Lab
Inspiring Brilliance: The impact of control theory and cybernetics of Maxwell's paper: On governors
IROS 2014 Plenary: Andrew Davison
PES Scholarship Initiative Plus - Robert Thomas, Ph.D. Presentation
IMS 2014:Active 600GHz Frequency Multiplier-by-Six S-MMICs for Submillimeter-Wave Generation
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
EMBC 2011-Workshop-Motor Control Principles in Neurorobotics and Prosthetics-PT IV
Flywheel Energy Storage for the 21st Century: APEC 2019
The active vibration suppression with piezoceramic actuators has been paid more and more attention to for the flexible structures, but there are still some key problems to be solved to ensure the effectiveness and feasibility of the active vibration control. This paper presented the experiment results of the control results with the state feedback pole assignment and the positive position feedback respectively. Firstly, the control system of a flexible aluminum cantilever beam with bonded piezoelectric actuators was modeled in theory and with experiment validation. The resonance frequency and the damping ratio of the first-order mode of the beam were calculated by a coarse identification and a fine identification. Then, the two control algorithms, the state feedback pole assignment and the positive position feedback, were implemented to control the first-order mode of the beam vibration actively. The control performances of the algorithms were compared. The experiment results show that the positive position feedback is better both in the control speed and in the attenuated amplitude than the state feedback pole assignment.
Active Vibration Control using smart materials is explored due to their characteristics of adaptation to changing environmental and working conditions. Much of the research is motivated by aerospace, biomedical and robotics industry where lightly damped flexible structures characterized by low frequency high magnitude are common. With the use of smart materials active vibration suppression becomes ease in various fields. In this work shape memory alloy (Nickel Titanium) wires are used as actuators for active vibration suppression of a piezoceramic laminated flexible cantilever beam, which is characterized by low natural frequency with closely spaced modes. Vibration control is experimentally performed at the first modal resonance frequency of the beam at which the magnitude of vibration is maximum. Pulse width modulation technique is adopted to control the actuation force through Matlab/Simulink via a data acquisition system. The aim is to implement a design based On-Off control rather than a model based control.
This research aims at the dynamic response and the active vibration control with piezoelectric self-sensing actuators for the cantilever beam under a moving mass. After analyzing the vibration characteristics of the beam under a moving mass, the active vibration control technology is introduced to suppress its vibration. The dynamic response model and state space model for active vibration control of beam under a moving mass is established. Then the piezoelectric self-sensing actuator sensing signal separation method based on two-dimension adaptive compensating principle is put forward. And the adaptive fuzzy control strategy is introduced to suppress the beam vibration. The testing system of dynamic response and active vibration control for beam under a moving mass is designed and developed. The experimental results showed the effectiveness of this kind of control strategy for beam bonded with piezoelectric self-sensing actuator under a moving mass, which demonstrated that using the smart material could suppress actively the time-varying flexible structure vibration.
Based upon the multi-parametric programming for the linear constrained optimization program, the explicit model predictive control systems for linear time-invariable and time-variable constrained system are established respectively. The dynamic model for the mechanical vibration of elevator is developed, and schemes for vibration control of elevator and the placement of the actuator are discussed. With the established explicit model predictive control system, the active vibration control of the mechanical system of elevator is studied. Simulations are made for different working conditions of the elevator, and results show that the proposed method in this paper is effective for active vibration control of mechanical system of elevator.
As the accuracy of the control channel model directly affects the stability and the convergence of the active vibration controller for smart flexible structures, offline identification of the control channel model is inappropriate for a vibration system whose characteristic and parameter is time-varying. To solve the problem of the control channel model identification, an active vibration control algorithm based on online control channel identification is proposed in this paper. Adopting a noise signal as the input identification signal, the FIR filter structure as the system model structure, and FxLMS algorithm as the control algorithm, the detailed derivation of the algorithm is presented. To test and verify the feasibility and priority of the proposed algorithm, simulation analysis is done by Matlab, while the actual experiment is done on the experimental active vibration control platform. The experiment results show that the proposed algorithm is feasible with good control performance and rapid convergence.
This paper deals with the viability of using piezoelectric actuators to control the flexural oscillations of large centiliter type structures in space by implementing lab view program based PID control algorithm is to be investigated in the present work. Flexural oscillations are excited by impulsive loads such as stage separations of the rocket. The unwanted/ excessive vibratory response can induce fatigue damages in the subassemblies of the launch vehicle. Piezoelectric actuators have the exerting localized bending moments. In this way, vibration can be controlled without exciting rigid body in the structure. The piezo electric actuators are used in collocated sensor/driver pairs to form a feedback control system. The sensor produces a charge that is proportional to the dynamic stress at the sensor location and the driver produces the vibration that is proportional to the voltage applied to it. The analog control system amplifies and phase shifts the accelerometer response to produce the voltage signal that is applied to the driver. A simulated free-free cantilever beam has been integrated with instruments as a distribution of piezoelectric sensor/drivers to carry out the tests, the estimated and measured vibration control compares favorably.
This paper describe the development of a flexible plate structure rig for the implementation of active vibration control algorithm. The experimental rig is designed as an apparatus to create vibration along the flexible plate structure. Displacement, acceleration and excitation behaviour at the flexible plate structure were recorded by mean of piezoelectric accelerometer, force sensor and displacement laser sensor. The data from the experiment can be used for further analysis of the development and implementation of active vibration control algorithm especially in the applications of vibrational mechanical structure, submarines, aerospace etc. Results from the experiments are raw data which can later be used in designing an appropriate instrument or device that can suppress the vibration.
This paper focus on the design and active vibration control problem of flexure jointed stewart platform with non-cubic configuration. A general stewart platform is developed with non-cubic configuration using flexure mounts for all joints and magnetostrictive actuators as active elements, which leads to strong coupled motions along different axes. Adaptive filter algorithms for active vibration control are employed and realtime control system based on DSP controller are developed and implemented. Experimental results show that about 23-30dB attenuation is achieved.
Considerable attention has been devoted recently to active vibration control using intelligent materials as actuators. This paper present result on active control schemes for vibration suppression of flexible aluminium cantilever beam with bonded piezoelectric actuators. The PZT patches were surface bonded near the fixed end of flexible cantilever beam. The exciter and actuator are collocated to achieve a minimum phase. The aim of this work is to implement real time control to suppress vibration. To achieve this, the cantilever beam is taken as device under test, an anti-vibration signal is generated using Normalized Filtered-x Least Mean Square (NFXLMS) control algorithm for feedforward adaptive control is analyzed and compared with Filtered-x Least Mean Square (FXLMS) feed-forward control algorithm. Then the active vibration control experimental platform is established to verify the effectiveness of NFXLMS control scheme as well as FXLMS control scheme. The experimental results of FXLMS and NFXLMS are compared by implementing in Lab View 12.
In this paper, a novel active vibration control method for house structure by using magnetic levitation (MAGLEV) is proposed. Instead of active mass damper (AMD), a MAGLEV device is developed to provide the force for reducing the vibration from the wind or transportation. When a vibration occurs, the developed MAGLEV device will repeat to levitate and contact to the ceiling of housing properly. According to this movement, frictional force will be generated and used to reduce the vibration. For making the energy consumed by the frictional force maximum, optimum normal force which is provided by MAGLEV device is calculated. By using the proposed active vibration control method, simulation results are shown to verify its effectiveness.
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