Decentralized Vibration Control With Networked Embedded Systems

2004 ◽  
Author(s):  
Tao Tao ◽  
Isaac Amundson ◽  
Kenneth D. Frampton
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Vibration Control ◽  
Control Systems ◽  
Decentralized Control ◽  
Large Scale ◽  
Scale Up ◽  
Data Communication ◽  
Sensor Data ◽  
Sensors And Actuators

The early promise of centralized active control technologies to improve the performance of large scale, complex systems has not been realized largely due to the inability of centralized control systems to “scale up”; that is, the inability to continue to perform well when the number of sensors and actuators becomes large. Now, recent advances in Micro-electro-mechanical systems (MEMS), microprocessor developments and the breakthroughs in embedded systems technologies, decentralized control systems may see these promises through. A networked embedded system consists of many nodes that possess limited computational capability, sensors, actuators and the ability to communicate with each other over a network. The aim of this decentralized control system is to control the vibration of a structure by using such an embedded system backbone. The key attributes of such control architectures are that they be scalable and that they be effective within the constraints of embedded systems. Toward this end, the decentralized vibration control of a simply supported beam has been implemented experimentally. The experiments demonstrate that the reduction of the system vibration is realized with the decentralized control strategy while meeting the embedded system constraints, such as a minimum of internode sensor data communication, robustness to delays in sensor data and scalability.

Decentralized Vibration Control in a Launch Vehicle Payload Fairing

2002 ◽  
Author(s):  
Kenneth D. Frampton
Keyword(s):  
Embedded Systems ◽  
Vibration Control ◽  
Control Systems ◽  
Large Scale ◽  
Launch Vehicle ◽  
Centralized Control ◽  
Sensors And Actuators ◽  
Acoustic Environment ◽  
Networked Embedded Systems ◽  
Payload Fairing

The vibro-acoustic environment inside a launch vehicle payload fairing is extremely violent resulting in excessive development costs for satellites and other payloads. The development of smart structures and active noise and vibration control technologies promised to revolutionize the design, construction and, most importantly, the acoustic environment within these fairings. However, the early promise of these technologies has not been realized in such large-scale systems primarily because of the excessive complexity, cost and weight associated with centralized control systems. Now, recent developments in MEMS sensors and actuators, along with networked embedded processor technology, have opened new research avenues in decentralized controls based on networked embedded systems. This work describes the development and comparison of decentralized control systems that utilize this new control paradigm. The controllers are hosted on numerous nodes, possessing limited computational capability, sensors and actuators. Each of these nodes is also capable of communicating with other nodes via a wired or wireless network. The constraints associated with networked embedded systems control that the control systems be relatively simple computationally, scalable and robust to failures. Simulations were conducted that demonstrate the ability of such a control architecture to attenuate specific structural modes.

Design of Embedded System-Based CAPTCHA in C

2013 ◽  
Vol 347-350 ◽  
pp. 1658-1662
Author(s):  
Bo Qu ◽  
Zhao Zhi Wu
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Control Systems ◽  
Web Based ◽  
Design And Implementation ◽  
Technical Details ◽  
Embedded Application ◽  
Graphics Library

This paper describes the technical details of design and implementation of embedded system-based CAPTCHA (verification code) in C, including a brief analysis of techniques for implementing CAPTCHA, and a simple and practical CAPTCHA system designed by the author of this paper, which can be used not only in embedded systems but also ordinary Web based MIS or control systems, without the support of any dedicated graphics library. An example is provided to show the practical usage and effect of this CAPTCHA system on an embedded application demo system.

Decentralized Control of Structural Acoustic Radiation

2001 ◽  
Author(s):  
Kenneth D. Frampton
Keyword(s):  
Control System ◽  
Decentralized Control ◽  
Large Scale ◽  
Acoustic Radiation ◽  
Electrical Power ◽  
Computational Effort ◽  
Centralized Control ◽  
Mems Devices ◽  
Sensors And Actuators ◽  
Recent Developments

Abstract Although the application of active control to vibrations has been investigated from many years, the extension of this technology to large-scale systems has been thwarted, in part, by an overwhelming need for computational effort, data transmission and electrical power. This need has been overwhelming in the sense that the potential applications are unable to bear the power, weight and complex communications requirement of large-scale centralized control systems. Recent developments in MEMS devices and networked embedded devices have changed the focus of such applications from centralized control architectures to decentralized ones. A decentralized control system is one that consists of many autonomous, or semi-autonomous, localized controllers called nodes, acting on a single plant, in order to achieve a global control objective. Each of these nodes has the following capabilities and assets: 1) a relatively limited computational capability including limited memory, 2) oversight of a suite of sensors and actuators and 3) a communications link (either wired or wireless) with neighboring or regional nodes. The objective of a decentralized controller is the same as for a centralized control system: to maintain some desirable global system behavior in the presences of disturbances. However, decentralized controllers do so with each node possessing only a limited amount of information on the global systems response. Exactly what information each node has access to, and how that information is used, is the topic of this investigation.

scholarly journals EMBEDDED SYSTEMS – CONTROL OF POWER SUBSYSTEMS

2020 ◽  
Vol 5 (2) ◽  
pp. 23-28
Author(s):  
Michal Kelemen ◽  
Ľubica Miková ◽  
Darina Hroncová ◽  
Filip Filakovský ◽  
Peter Ján Sinčák
Keyword(s):  
Embedded Systems ◽  
Data Processing ◽  
Embedded System ◽  
Low Power ◽  
Electrical Energy ◽  
Mechanical Work ◽  
Sensor Data ◽  
Main Role ◽  
Customer Requirements

The main role of embedded system is to control the product behaviour or control of outside world. Microcontroller as embedded system obtains information through the sensors and makes adequate impact to outside world after sensor data processing. The microcontroller impact is realized through the actuators which convert the electrical energy (or different type of energy) to mechanical work. These processes are executed because of fulfil customer requirements. Microcontrollers as signal controllers work only with low power signals. This paper discusses the possibilities and application of controlling the power subsystems via using the embedded systems.

scholarly journals Ability of Energy Harvesting Mr Damper to Act as a Velocity Sensor in Vibration Control Systems

2019 ◽  
Vol 13 (2) ◽  
pp. 135-145
Author(s):  
Maciej Rosół ◽  
Bogdan Sapiński
Keyword(s):  
Energy Harvesting ◽  
Embedded System ◽  
Vibration Control ◽  
Control Systems ◽  
Relative Velocity ◽  
Mr Damper ◽  
The Self ◽  
Magnetorheological Damper ◽  
Processing Unit ◽  
Velocity Sensor

Abstract The study investigates the self-sensing ability in an energy harvesting magnetorheological damper (EHMRD). The device consists of a conventional linear MR damper and an electromagnetic harvester. The objective of the work is to demonstrate that the EHMRD with specific self-powered feature can also serve as a velocity sensor. Main components of the device and design structure are summarized and its operation principle is highlighted. The diagram of the experimental set-up incorporating the measurement and processing unit is provided, the experimental procedure is outlined and data processing is discussed. The self-sensing function is proposed whereby the relative velocity of the EHMRD can be reconstructed from the electromotive force (emf) induced in the harvester coil. To demonstrate the adequacy of the self-sensing action (i.e., the induced emf should agree well with the relative velocity), the proposed self-sensing function is implemented and tested in the embedded system that will be a target control platform. Finally, the test results of the system utilizing a switching control algorithm are provided to demonstrate the potentials of the EHMRD acting as a velocity sensor and to confirm its applicability in semi-active vibration control systems.

System On Chip (SOC) ASIC chipset for Smart Actuators in Distributed Propulsion Systems

2016 ◽  
Vol 2016 (HiTEC) ◽  
pp. 000040-000045
Author(s):  
Bhal Tulpule ◽  
Alireza R. Behbahani
Keyword(s):  
High Temperature ◽  
Embedded Systems ◽  
Risk Reduction ◽  
Control Systems ◽  
Real Time ◽  
System On Chip ◽  
Silicon On Insulator ◽  
Design Development ◽  
Sensors And Actuators ◽  
On Chip

Abstract This paper describes the results of the risk reduction testing task recently completed by Embedded Systems LLC under the Air Force SBIR contract {5} titled “Improved Full Authority Digital Engine Control (FADEC) System”. The objective of this program has been to develop a hierarchical, distributed architecture for future propulsion FADEC and aerospace control systems with flexible, scalable and reconfigurable Smart Nodes (SN) built with high temperature capable devices. A key part of this program is the design, development and validation of the System On Chip (SOC) chipset in high temperature (225 Deg. C) SOI (Silicon On Insulator) technology ASIC (Application Specific Integrated Circuit) devices. The SOC chipset designed by Embedded Systems LLC provides the scalability and reconfigurability that enables the Smart Node to interfaces with most sensors and actuators found in FADEC and other aircraft control systems. The analog portion of this 2-chip SOC chipset fabricated by Honeywell using their SOI process is working properly. The digital portion of the SOC chipset, currently implemented in a commercial temperature FPGA (Field Programmable Gate Array), contains important computational functions needed for reconfiguring the SOC and performing complex control functions, such as real time control of an actuator, The risk reduction task was therefore focused on verification and validation of these key functions in a real environment before converting the design into an ASIC. The recent successful demonstration of the real time actuator control capability has minimized the risks and cleared the way for the digital ASIC implementation. The complete high temperature SOC chipset is expected to be available in late 2016.

scholarly journals Implementation of Lossless Voice Data Communication using Network Streams on Embedded System

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Barlian Henryranu Prasetio ◽  
Dahnial Syauqy
Keyword(s):  
Embedded System ◽  
Personal Computer ◽  
Smart Home ◽  
Data Communication ◽  
Sensor Data ◽  
Buffer Size ◽  
System Throughput ◽  
Data Types ◽  
Stream Monitoring ◽  
Voice Data

Smart home refers to the use of computers and information technology to control home appliances. The smart home system occupies sensors to acquire data for monitoring. One of the most important factors in designing a smart home system was the communication between devices that will be used. It requires high throughput and low latency communication so that monitoring can be done in real time and lossless. The communication network was designed to optimize the stream monitoring for smart home by reviewing the system throughput and latency. Lab-VIEW programming on My-RIO embedded systems was used to acquire accelerometer and voice data readings and send them to personal computer wirelessly. The network communication was designed by implementing network stream protocols between two applications which were planted in the personal computer and My-RIO system. The test results indicate that the network stream protocol did not require normalization of sensor data types while transmitting and receiving. The throughput values were affected by increasing buffer size but on certain conditions saturated throughput were experienced. The value of the latency is always stable with an average value of 13 ms even though the size of the buffer is enlarged.

Optimal Sensor and Actuator Placement for Active Vibration Control Systems

2012 ◽  
Author(s):  
Britta Späh ◽  
Rudolf Sebastian Schittenhelm ◽  
Stephan Rinderknecht
Keyword(s):  
Vibration Control ◽  
Control Systems ◽  
Active Vibration Control ◽  
Performance Criterion ◽  
Performance Criteria ◽  
Sensors And Actuators ◽  
Control Effort ◽  
Control Objective ◽  
Optimal Feed ◽  
Actuator Placement

Locations of sensors and actuators have major impact on the characteristics of control systems. In this paper a procedure for sensor and actuator placement for vibration control systems is presented. Two different performance criteria are used in order to find optimal positions for the system under consideration. One is considering observability and controllability only, the other one includes knowledge about a disturbance and the control objective. Both criteria are applied to a clamped plate resulting in different optimal sensor and actuator positions. The resulting configurations are investigated by comparison of optimal feed forward and H∞ feedback control of the system with identical disturbances and control objectives but different sensor and actuator positions. The required control effort and achieved amplitude reduction are employed to rate the different performance criteria that were used to determine the sensor and actuator positions. It is shown that, by placing sensors and actuators on the basis of an adequate performance criterion, increased control performance in terms of amplitude reduction per control effort is achieved.

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