Autonomous Low Power Microsystem Powered by Vibration Energy Harvesting

Torah, Russel; Tudor, John; Patel, Kishan; Garcia, Ivo Neftali Ayala; Beeby, Steve

doi:10.1109/icsens.2007.4388387

Cited by 43 publications

(32 citation statements)

References 2 publications

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“…The office air conditioning unit has resonant peaks between 40 and 50 Hz with acceleration levels between 0.85 and 1.7 m s −2 . The vibration spectrum measurements for the air compressor are consistent with that of the air conditioning unit [7]. The generator and sensor system have therefore been designed to work initially with these applications and at low acceleration 0957-0233/08/125202+08$30.00 1 …”

Section: Introductionmentioning

confidence: 80%

Self-powered autonomous wireless sensor node using vibration energy harvesting

Torah

Glynne‐Jones

Tudor

et al. 2008

Meas. Sci. Technol.

225

117

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This paper reports the development and implementation of an energy aware autonomous wireless condition monitoring sensor system (ACMS) powered by ambient vibrations. An electromagnetic (EM) generator has been designed to harvest sufficient energy to power a radio-frequency (RF) linked accelerometer-based sensor system. The ACMS is energy aware and will adjust the measurement/transmit duty cycle according to the available energy; this is typically every 3 s at 0.6 m s rms acceleration at a frequency of 52 Hz. In addition, a voltage multiplier circuit is shown to increase the electrical damping compared to a purely resistive load; this allows for an average power of 120 μW to be generated at 1.7 m s −2 rms acceleration. The ACMS has been successfully demonstrated on an industrial air compressor and an office air conditioning unit, continuously monitoring vibration levels and thereby simulating a typical condition monitoring application.

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Section: Introductionmentioning

confidence: 80%

Self-powered autonomous wireless sensor node using vibration energy harvesting

Torah

Glynne‐Jones

Tudor

et al. 2008

Meas. Sci. Technol.

225

117

View full text Add to dashboard Cite

show abstract

“…Connection to a voltage multiplier circuit and supercapacitor for energy storage results in a reduction in peak power to 37 μW but the useable bandwidth increases to over 1 Hz (see figure 5). This is due to the in increased damping arising from the improved coupling provided by a capacitive load [25]. This increased damping means the generator can be driven up to an acceleration level of 1.7 ms -2 before reaching z max at which point the power output is 120 μWrms.…”

Section: Electromagnetic Generatormentioning

confidence: 99%

Kinetic Energy Harvesting

Zhu

Beeby

2010

Energy Harvesting Systems

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This paper reviews kinetic energy harvesting as a potential localised power supply for wireless applications. Harvesting devices are typically implemented as resonant devices of which the power output depends upon the size of the inertial mass, the frequency and amplitude of the driving vibrations, the maximum available mass displacement and the damping. Three transduction mechanisms are currently primarily employed to convert mechanical into electrical energy: electromagnetic, piezoelectric and electrostatic. Piezoelectric and electrostatic mechanisms are best suited to small size MEMS implementations, but the power output from such devices is at present limited to a few microwatts. An electromagnetic generator implemented with discrete components has produced a power 120 μW with the highest recorded efficiency to date of 51% for a device of this size reported to date. The packaged device is 0.8 cm 3 and weighs 1.6 grams. The suitability of the technology in space applications will be determined by the nature of the available kinetic energy and the required level of output power. A radioactively coupled device may present an opportunity where suitable vibrations do not exist.

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“…To validate the effectiveness of the proposed approach, the [14]. However, in the original design these two parts are optimised separately, which is quite common in existing energy harvester design approaches.…”

Section: A Performance Optimisationmentioning

confidence: 99%

Energy Efficient Sensor Nodes Powered by Kinetic Energy Harvesters – Design for Optimum Performance

Kázmierski¹,

Wang²,

Aloufi³

2012

ELS

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Abstract-In an energy harvester powered wireless sensor node system, as the energy harvester is the only energy source, it is crucial to configure the microcontroller and the sensor node so that the harvested energy is used efficiently. This paper outlines modelling, performance optimisation and design exploration of the complete, complex system which includes the analogue mechanical model of a tunable kinetic microgenerator, its magnetic coupling with the electrical blocks, electrical power storage and processing parts, the digital control of the microgenerator tuning system, as well as the power consumption models of sensor node. Therefore not only the energy harvester design parameters but also the sensor node operation parameters can be optimised in order to achieve the best system performance. The power consumption models of the microcontroller and the sensor node are built based on their operation scenarios so that the parameters of the digital algorithms can be optimised to achieve the best energy efficiency. In the proposed approach, two Hardware Description Languages, VHDL-AMS and SystemC-A is used to model the system's analogue components as well as the digital control algorithms which are implemented in the microcontroller and the sensor node. Simulation and performance optimisation results are verified experimentally. In the development of the fast design exploration tool based on the response surface technique, the response surface model (RSM) is constructed by carrying out a series of simulations. The RSM is then optimised using MATLAB's optimisation toolbox and the optimisation results are presented.

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Autonomous Low Power Microsystem Powered by Vibration Energy Harvesting

Cited by 43 publications

References 2 publications

Self-powered autonomous wireless sensor node using vibration energy harvesting

Self-powered autonomous wireless sensor node using vibration energy harvesting

Kinetic Energy Harvesting

Energy Efficient Sensor Nodes Powered by Kinetic Energy Harvesters – Design for Optimum Performance

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