Optimal Design of Magnetic Zooming Mechanism Used in Cameras of Mobile Phones via Genetic Algorithm

This paper deals with an optimization study of a vibration energy harvester. This harvester can be used as autonomous source of electrical energy for remote or wireless applications, which are placed in environment excited by ambient mechanical vibrations. The ambient energy of vibrations is usually on very low level but the harvester can be used as alternative source of energy for electronic devices with an expected low level of power consumption of several mW. The optimized design of the vibration energy harvester was based on previous development and the sensitivity of harvester design was improved for effective harvesting from mechanical vibrations in aeronautic applications. The vibration energy harvester is a mechatronic system which generates electrical energy from ambient vibrations due to precision tuning up generator parameters. The optimization study for maximization of harvested power or minimization of volume and weight are the main goals of our development. The optimization study of such complex device is complicated therefore artificial intelligence methods can be used for tuning up optimal harvester parameters.

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“…Genetic algorithm methods [12] are used for the optimization of such electromechanical [13] and electromagnetic systems [14] and [15].…”

Section: Used Optimization Methods For Development Of Energy Harvestimentioning

confidence: 99%

Vibration energy harvester optimization using artificial intelligence

et al. 2011

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“…Different methods for improving the actuator performance in the field of moving coil actuators have been proposed, including optimization of the flux path material [14], the use of a shorted turn in the actuator design to improve the transient performance [13], [15] and a number of model based geometry optimizations [16]- [18]. These geometry optimizations are all based on magnetic equivalent circuits (MEC), which simplifies the system to some degree at the benefit of decreased computational cost.…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of a Moving Coil Actuator for Fast-Switching Valves in Digital Hydraulic Pumps and Motors

Roemer

Bech

Johansen

et al. 2015

IEEE/ASME Trans. Mechatron.

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Fast-switching seat valves suitable for digital hydraulic pumps and motors utilize direct electromagnetic actuators, which must exhibit superior transient performance to allow efficient operation of the fluid power pump/motor. A moving coil actuator resulting in a minimum valve switching time is designed for such valves using transient finite-element analysis of the electromagnetic circuit. The valve dynamics are coupled to the fluid restrictive forces, which significantly influence the effective actuator force. Fluid forces are modeled based on transient computational fluid dynamics models. The electromagnetic finite-element model is verified against experimental measurement, and used to design an optimum moving coil actuator for the application considering different voltage-current ratios of the power supply. Results show that the optimum design depends on the supply voltage-current ratio, however, the minimum switching time obtained is nearly independent on this voltage-current ratio. Selecting a suitable power supply based on thermal considerations yields a switching time just above one millisecond for a travel length of 3.5 mm while submerged in oil. The proposed valve has a pressure drop below 0.5 bar at 600 L/min flow rate, enabling efficient operation of digital hydraulic pumps and motors.

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“…Recently, a voice coil motor ͑VCM͒ has been used in the autofocusing ͑AF͒ system of a commercial digital camera to meet the trend of miniaturization. 1 Some works [2][3][4][5] proposed the design methods for the VCM, while Yu et al 1 developed the adaptive model following control ͑AMFC͒ to overcome the loading variation due to the posture change of a camera. However, the AF system must also operate well under handshaking, which was not taken into account in the work.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of antihandshaking position control for a voice coil motor

Lin

Wang

Wang³

2008

Journal of Applied Physics

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This paper deals with the position control of the voice coil motor ͑VCM͒ with handshaking. A disturbance observer is proposed to estimate the low-frequency handshaking disturbance, so that a handshaking-robust controller can be constructed. While a handshaking stabilizer can compensate for the vibration of the whole lens set, a robust controller is still required to precisely hold the autofocusing lens by rejecting the handshaking disturbance. To meet the request of miniaturization, the control is implemented on a field programmable gate array chip.

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Optimal Design of Magnetic Zooming Mechanism Used in Cameras of Mobile Phones via Genetic Algorithm

Cited by 19 publications

References 1 publication

Vibration energy harvester optimization using artificial intelligence

Vibration energy harvester optimization using artificial intelligence

Optimum Design of a Moving Coil Actuator for Fast-Switching Valves in Digital Hydraulic Pumps and Motors

Design and implementation of antihandshaking position control for a voice coil motor

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